🆕 New Job Opportunity 🌍
━━━━━━━━━━━━━━
💼 Senior Data Scientist — Fraud & Credit Risk ML
🏛 Company: Koalafi
📍 Location: Arlington, US
📋 Type: Full-Time | On-site
📅 Posted: 23 Apr 2026
📝 A financial technology company in Arlington, VA is seeking a senior Data Scientist to lead the development of crucial credit and fraud risk models. With a focus on building production-grade machine learning solutions, the ideal candidate will have over 5 years of experience in data science and proficiency in Python and SQL. Join a dynamic team and enjoy comprehensive benefits, including medical coverage, PTO, and 401(k) matching. This role requires in-person attendance at the Arlington office.
#DataScience #Jobs #Hiring #AI #ML
━━━━━━━━━━━━━━
💼 Senior Data Scientist — Fraud & Credit Risk ML
🏛 Company: Koalafi
📍 Location: Arlington, US
📋 Type: Full-Time | On-site
📅 Posted: 23 Apr 2026
📝 A financial technology company in Arlington, VA is seeking a senior Data Scientist to lead the development of crucial credit and fraud risk models. With a focus on building production-grade machine learning solutions, the ideal candidate will have over 5 years of experience in data science and proficiency in Python and SQL. Join a dynamic team and enjoy comprehensive benefits, including medical coverage, PTO, and 401(k) matching. This role requires in-person attendance at the Arlington office.
#DataScience #Jobs #Hiring #AI #ML
Data Science Jobs
🆕 New Job Opportunity 🌍 ━━━━━━━━━━━━━━ 💼 Principal Associate, Data Scientist - US Card DFS Acquisitions 🏛 Company: Capital One 📍 Location: McLean, US 📋 Type: Full-Time And Part-Time | On-site 📅 Posted: 20 Apr 2026
📝 Principal Associate, Data Scientist - US Card DFS Acquisitions
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The US Card DFS Acquisitions Integration Data Science team builds industry leading machine learning models to empower core underwriting decisions in the acquisitions of a new credit card customer. The team is responsible for meeting model risk standards and enabling COF model use in acquisition area integration policies; supporting increased scaling volume by bringing key DFS insights (data, features, or models) into the COF ecosystem; building or refitting key models combining COF and Discover populations to drive value. We collaborate closely with a wide range of cross functional partner teams - data engineers, platforms engineers, product managers, credit and business analysts, to deliver the solutions from ideation to implementation. We are a team of model developers, who own the full life cycle of our models - development, deployment, monitoring, governance, and ongoing usage expansion and releases. We are also a team of creative problem solvers, who challenge the status quo on a continuous basis and are devoted to innovation to keep making our models more dynamic, adaptive, robust, and ultimately, smarter.
Role Description
In this role, you will:
• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.
• Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
• A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications:
• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
• A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
• A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative...
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The US Card DFS Acquisitions Integration Data Science team builds industry leading machine learning models to empower core underwriting decisions in the acquisitions of a new credit card customer. The team is responsible for meeting model risk standards and enabling COF model use in acquisition area integration policies; supporting increased scaling volume by bringing key DFS insights (data, features, or models) into the COF ecosystem; building or refitting key models combining COF and Discover populations to drive value. We collaborate closely with a wide range of cross functional partner teams - data engineers, platforms engineers, product managers, credit and business analysts, to deliver the solutions from ideation to implementation. We are a team of model developers, who own the full life cycle of our models - development, deployment, monitoring, governance, and ongoing usage expansion and releases. We are also a team of creative problem solvers, who challenge the status quo on a continuous basis and are devoted to innovation to keep making our models more dynamic, adaptive, robust, and ultimately, smarter.
Role Description
In this role, you will:
• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.
• Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
• A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications:
• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
• A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
• A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative...
🆕 New Job Opportunity 🌍
━━━━━━━━━━━━━━
💼 Remote Data Scientist — AWS/Python & Entity Analytics
🏛 Company: Fusion Technology LLC
📍 Location: Washington, US
📋 Type: Full-Time | On-site
📅 Posted: 24 Apr 2026
📝 A performance-driven technology firm is seeking a Security-cleared Professional with strong skills in Python and AWS to design and maintain data pipelines. The role requires a Bachelor's degree and 7 years of experience, along with effective communication for presenting insights. With a competitive compensation package including a comprehensive healthcare plan and 401K, this position offers the chance to work remotely with occasional travel.
#DataScience #Jobs #Hiring #AI #ML
━━━━━━━━━━━━━━
💼 Remote Data Scientist — AWS/Python & Entity Analytics
🏛 Company: Fusion Technology LLC
📍 Location: Washington, US
📋 Type: Full-Time | On-site
📅 Posted: 24 Apr 2026
📝 A performance-driven technology firm is seeking a Security-cleared Professional with strong skills in Python and AWS to design and maintain data pipelines. The role requires a Bachelor's degree and 7 years of experience, along with effective communication for presenting insights. With a competitive compensation package including a comprehensive healthcare plan and 401K, this position offers the chance to work remotely with occasional travel.
#DataScience #Jobs #Hiring #AI #ML
Data Science Jobs
🆕 New Job Opportunity 🌍 ━━━━━━━━━━━━━━ 💼 Journeyman Data Scientist 🏛 Company: Leidos 📍 Location: Alexandria, US 📋 Type: Full-Time | On-site 📅 Posted: 22 Apr 2026
📝 Description
This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced Journeyman Data Scientist to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations.
In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement—helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success.
This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes.
Primary Responsibilities:
• Develop and apply statistical models and machine learning algorithms to analyze structured and unstructured data.
• Perform data exploration, feature engineering, and data preprocessing to support analytics and model development.
• Support development and validation of predictive and descriptive analytics models.
• Collaborate with data engineers to ensure availability and quality of data for analytics workflows.
• Assist in integrating models into production environments through APIs and DevSecOps pipelines.
• Develop visualizations, dashboards, and reports to communicate analytical findings.
• Support evaluation of model performance, including accuracy, bias, and reliability.
• Assist in implementation of model monitoring and continuous improvement processes.
• Design and develop predictive models and data-driven analytical frameworks that optimize processes and support informed decision-making.
• Build models that forecast future demands, highlight operational and service-related risks, and detect performance anomalies in real time.
• Collaborate with cross-functional teams including AI/ML engineers, software developers, and domain stakeholders.
• Ensure responsible AI practices including bias detection, explainability, and performance monitoring.
• Translate complex analytical findings into actionable insights for technical and executive stakeholders.
• Develop and maintain documentation, evaluation metrics, and model performance dashboards.
• Document analytical methodologies, models, and results.
• Participate in SAFe ceremonies including sprint planning, backlog refinement, sprint reviews, and retrospectives.
Basic Qualifications:
• Active Top Secret (TS) clearance with SCI eligibility.
• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or related technical discipline and 4–8 years of relevant experience OR Master’s degree in a related field and 2–6 years of relevant experience.
• Minimum of 4 years of experience in data science, data engineering, or a related field.
• Experience applying statistical analysis and machine learning techniques.
• Experience using programming languages such as Python, SQL, R or similar analytical programming languages.
• Experience working with data analysis and ML libraries (e.g., Pandas, Scikit-learn, or similar).
• Experience performing data exploration, feature engineering, and model validation.
• Proven experience in designing and developing predictive models and data-driven analytical frameworks.
• Knowledge of data security policies, including data encryption and access controls.
• Experience with data governance frameworks and compliance enforcement.
• Strong analytical and problem-solving skills.
• Excellent communication an...
This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced Journeyman Data Scientist to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations.
In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement—helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success.
This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes.
Primary Responsibilities:
• Develop and apply statistical models and machine learning algorithms to analyze structured and unstructured data.
• Perform data exploration, feature engineering, and data preprocessing to support analytics and model development.
• Support development and validation of predictive and descriptive analytics models.
• Collaborate with data engineers to ensure availability and quality of data for analytics workflows.
• Assist in integrating models into production environments through APIs and DevSecOps pipelines.
• Develop visualizations, dashboards, and reports to communicate analytical findings.
• Support evaluation of model performance, including accuracy, bias, and reliability.
• Assist in implementation of model monitoring and continuous improvement processes.
• Design and develop predictive models and data-driven analytical frameworks that optimize processes and support informed decision-making.
• Build models that forecast future demands, highlight operational and service-related risks, and detect performance anomalies in real time.
• Collaborate with cross-functional teams including AI/ML engineers, software developers, and domain stakeholders.
• Ensure responsible AI practices including bias detection, explainability, and performance monitoring.
• Translate complex analytical findings into actionable insights for technical and executive stakeholders.
• Develop and maintain documentation, evaluation metrics, and model performance dashboards.
• Document analytical methodologies, models, and results.
• Participate in SAFe ceremonies including sprint planning, backlog refinement, sprint reviews, and retrospectives.
Basic Qualifications:
• Active Top Secret (TS) clearance with SCI eligibility.
• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or related technical discipline and 4–8 years of relevant experience OR Master’s degree in a related field and 2–6 years of relevant experience.
• Minimum of 4 years of experience in data science, data engineering, or a related field.
• Experience applying statistical analysis and machine learning techniques.
• Experience using programming languages such as Python, SQL, R or similar analytical programming languages.
• Experience working with data analysis and ML libraries (e.g., Pandas, Scikit-learn, or similar).
• Experience performing data exploration, feature engineering, and model validation.
• Proven experience in designing and developing predictive models and data-driven analytical frameworks.
• Knowledge of data security policies, including data encryption and access controls.
• Experience with data governance frameworks and compliance enforcement.
• Strong analytical and problem-solving skills.
• Excellent communication an...
Data Science Jobs
🆕 New Job Opportunity 🌍 ━━━━━━━━━━━━━━ 💼 Data Scientist, Senior 🏛 Company: Booz Allen Hamilton, Inc. 📍 Location: Fort Meade, US 📋 Type: Full-Time And Part-Time | On-site 💰 Salary: USD 99,000 – 225,000 / YEAR 📅 Posted: 24 Apr 2026
📝 Job Description
Remote Work:
No
Job Number:
R0238629
Location:
Fort Meade,MD,US
Share job via:
Share
Data Scientist, Senior
The Opportunity:
As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data.
On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.
Work with us as we use data science for good.
Join us. The world can't wait.
You Have:
• 3+ year of experience in statistics, operations research, or advanced mathematics
• Experience with R or Python
• Experience using scientific methods to inform qualitative and quantitative analyses
• Ability to work effectively in a collaborative and fast-paced environment
• TS/SCI clearance with a polygraph
• HS diploma or GED
Nice If You Have:
• Experience with optimization, modeling and simulation, prediction, estimation, decision analysis, or engineering management
• Experience analyzing large-scale datasets
• Experience with data gathering, cleansing, and parsing
• Experience developing and applying optimization and simulation models
• Ability to work in Windows and Linux OS environments
• Bachelor's degree in Operations Research, Applied Mathematics, or Data Science
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence ...
Remote Work:
No
Job Number:
R0238629
Location:
Fort Meade,MD,US
Share job via:
Share
Data Scientist, Senior
The Opportunity:
As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data.
On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.
Work with us as we use data science for good.
Join us. The world can't wait.
You Have:
• 3+ year of experience in statistics, operations research, or advanced mathematics
• Experience with R or Python
• Experience using scientific methods to inform qualitative and quantitative analyses
• Ability to work effectively in a collaborative and fast-paced environment
• TS/SCI clearance with a polygraph
• HS diploma or GED
Nice If You Have:
• Experience with optimization, modeling and simulation, prediction, estimation, decision analysis, or engineering management
• Experience analyzing large-scale datasets
• Experience with data gathering, cleansing, and parsing
• Experience developing and applying optimization and simulation models
• Ability to work in Windows and Linux OS environments
• Bachelor's degree in Operations Research, Applied Mathematics, or Data Science
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence ...
🆕 New Job Opportunity 🌍
━━━━━━━━━━━━━━
💼 Data Scientist - Intelligence Analytics (TS/SCI)
🏛 Company: Evans & Chambers
📍 Location: Arlington, US
📋 Type: Full-Time | On-site
📅 Posted: 24 Apr 2026
📝 A technology solutions provider is seeking a highly motivated Data Scientist to join their team in Arlington, VA. The ideal candidate will have 4-10 years of experience in Data Science or Data Engineering, focusing on enhancing intelligence data integrity through advanced analytical methods and machine learning techniques. This role requires a Bachelor of Science in a related field and offers an opportunity to work with the US national defense community.
#DataScience #Jobs #Hiring #AI #ML
━━━━━━━━━━━━━━
💼 Data Scientist - Intelligence Analytics (TS/SCI)
🏛 Company: Evans & Chambers
📍 Location: Arlington, US
📋 Type: Full-Time | On-site
📅 Posted: 24 Apr 2026
📝 A technology solutions provider is seeking a highly motivated Data Scientist to join their team in Arlington, VA. The ideal candidate will have 4-10 years of experience in Data Science or Data Engineering, focusing on enhancing intelligence data integrity through advanced analytical methods and machine learning techniques. This role requires a Bachelor of Science in a related field and offers an opportunity to work with the US national defense community.
#DataScience #Jobs #Hiring #AI #ML
Data Science Jobs
🆕 New Job Opportunity 🌍 ━━━━━━━━━━━━━━ 💼 AWS Infrastructure Engineer Data Science - Senior 🏛 Company: Freddie Mac 📍 Location: McLean, US 📋 Type: Full-Time | On-site 📅 Posted: 24 Apr 2026
📝 At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Continue your career journey where your work contributes to a greater purpose.
Position Overview:
Our team builds and manages the AWS infrastructure that supports Model (ML) development across the company. Our platforms run on Kubernetes and leverage AWS tooling to provide highly scalable and dynamic platform features used by data scientists daily. You will directly drive the results for the team and own components of the platform from design through deployment.
Our Impact:
Our platforms are used across all business lines for Data Science development and deployment work as well as data exploration. This team is highly visible and works directly with emerging AI and ML technologies.
Your Impact:
You will design, develop and own product solutions from start to finish. On a day-to-day basis you will interact with data scientists to identify issues and new product solutions. You will continually be researching and testing new AI/ML tools and procedures to offer to offer to the wider company.
Qualifications:
• Bachelor’s degree in Computer Science, Engineering (any field), Information Technology Management, or related discipline; or equivalent experience; advanced studies/degree preferred.
• 5 years of hands-on experience managing AWS infrastructure through console and Infrastructure as Code (IaC);
• Hands-on experience with AWS SageMaker and MLOps;
• 5 years of experience working python coding;
• 5 years of experience deploying application solutions;
• 3 years of experience with code repository GIT and Bitbucket; and,
• Demonstrated knowledge of infrastructure design principles.
Keys to Success in this Role:
• Demonstrate a strong desire to learn new technologies and tools in the AI/ML space
• Quickly identify solutions to issues raised by Data Scientists
• Have a strong understanding of the varies AWS components needed to run AI/ML infrastructure
• Ability to help junior team members grow their knowledge and abilities
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $127,000 - $191,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.
#DataScience #Jobs #Hiring #AI #ML
Position Overview:
Our team builds and manages the AWS infrastructure that supports Model (ML) development across the company. Our platforms run on Kubernetes and leverage AWS tooling to provide highly scalable and dynamic platform features used by data scientists daily. You will directly drive the results for the team and own components of the platform from design through deployment.
Our Impact:
Our platforms are used across all business lines for Data Science development and deployment work as well as data exploration. This team is highly visible and works directly with emerging AI and ML technologies.
Your Impact:
You will design, develop and own product solutions from start to finish. On a day-to-day basis you will interact with data scientists to identify issues and new product solutions. You will continually be researching and testing new AI/ML tools and procedures to offer to offer to the wider company.
Qualifications:
• Bachelor’s degree in Computer Science, Engineering (any field), Information Technology Management, or related discipline; or equivalent experience; advanced studies/degree preferred.
• 5 years of hands-on experience managing AWS infrastructure through console and Infrastructure as Code (IaC);
• Hands-on experience with AWS SageMaker and MLOps;
• 5 years of experience working python coding;
• 5 years of experience deploying application solutions;
• 3 years of experience with code repository GIT and Bitbucket; and,
• Demonstrated knowledge of infrastructure design principles.
Keys to Success in this Role:
• Demonstrate a strong desire to learn new technologies and tools in the AI/ML space
• Quickly identify solutions to issues raised by Data Scientists
• Have a strong understanding of the varies AWS components needed to run AI/ML infrastructure
• Ability to help junior team members grow their knowledge and abilities
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $127,000 - $191,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.
#DataScience #Jobs #Hiring #AI #ML
🆕 New Job Opportunity 🌍
━━━━━━━━━━━━━━
💼 Senior Data Scientist — Predictive Analytics & AI
🏛 Company: US AI
📍 Location: North Bethesda, US
📋 Type: Full-Time | On-site
📅 Posted: 24 Apr 2026
📝 A forward-thinking digital transformation company is seeking a Sr. Data Scientist in North Bethesda. This role involves analyzing large datasets, designing predictive algorithms, and driving data-driven decision-making. Candidates should have a Bachelor's in a quantitative field and experience in machine learning. The position offers a competitive salary of $150,000-$200,000 per year and a comprehensive benefits package.
#DataScience #Jobs #Hiring #AI #ML
━━━━━━━━━━━━━━
💼 Senior Data Scientist — Predictive Analytics & AI
🏛 Company: US AI
📍 Location: North Bethesda, US
📋 Type: Full-Time | On-site
📅 Posted: 24 Apr 2026
📝 A forward-thinking digital transformation company is seeking a Sr. Data Scientist in North Bethesda. This role involves analyzing large datasets, designing predictive algorithms, and driving data-driven decision-making. Candidates should have a Bachelor's in a quantitative field and experience in machine learning. The position offers a competitive salary of $150,000-$200,000 per year and a comprehensive benefits package.
#DataScience #Jobs #Hiring #AI #ML
Data Science Jobs
🆕 New Job Opportunity 🌍 ━━━━━━━━━━━━━━ 💼 Senior Data Scientist | Onsite | W2 Profiles 🏛 Company: Trebecon LLC 📍 Location: McLean, US 📋 Type: Full-Time | On-site 📅 Posted: 23 Apr 2026
📝 Role: Senior Data Scientist
Location: McLean VA- Onsite- F2F Interview
Job Description:
• We are seeking a highly analytical and execution focused Data Scientist to support the newly formed AI Execution function.
• This role will focus on turning raw data and emerging AI capabilities into practical, reusable solutions that improve efficiency and decision making across the business.
• Unlike a traditional data science role centered on modeling alone, this position emphasizes problem understanding, rapid experimentation, data operationalization, and applied AI. The ideal candidate is someone who is intellectually curious, comfortable working with imperfect data, and skilled at navigating ambiguity to deliver impact.
Key Responsibilities:
• Partner with business teams to understand complex problem statements and translate them into AI enabled solutions
• Extract, clean, and structure data from raw and heterogeneous sources to enable analytics and GenAI use cases
• Develop Python based prototypes and tools that leverage advanced analytics and generative AI
• Design and refine prompts to deliver reliable, explainable, and decision ready AI outputs
• Collaborate with data, technology, and engineering partners to align prototypes with production standards
• Contribute reusable code, patterns, documentation, and demos to shared repositories to enable scaling and reuse
• Support testing, validation, and iteration of AI solutions prior to broader deployment
#DataScience #Jobs #Hiring #AI #ML
Location: McLean VA- Onsite- F2F Interview
Job Description:
• We are seeking a highly analytical and execution focused Data Scientist to support the newly formed AI Execution function.
• This role will focus on turning raw data and emerging AI capabilities into practical, reusable solutions that improve efficiency and decision making across the business.
• Unlike a traditional data science role centered on modeling alone, this position emphasizes problem understanding, rapid experimentation, data operationalization, and applied AI. The ideal candidate is someone who is intellectually curious, comfortable working with imperfect data, and skilled at navigating ambiguity to deliver impact.
Key Responsibilities:
• Partner with business teams to understand complex problem statements and translate them into AI enabled solutions
• Extract, clean, and structure data from raw and heterogeneous sources to enable analytics and GenAI use cases
• Develop Python based prototypes and tools that leverage advanced analytics and generative AI
• Design and refine prompts to deliver reliable, explainable, and decision ready AI outputs
• Collaborate with data, technology, and engineering partners to align prototypes with production standards
• Contribute reusable code, patterns, documentation, and demos to shared repositories to enable scaling and reuse
• Support testing, validation, and iteration of AI solutions prior to broader deployment
#DataScience #Jobs #Hiring #AI #ML
🆕 New Job Opportunity 🌍
━━━━━━━━━━━━━━
💼 Remote Data Scientist & AI Trainer - Shape AI Reasoning
🏛 Company: DataAnnotation
📍 Location: Washington, US
📋 Type: Full-Time | On-site
📅 Posted: 24 Apr 2026
📝 A leading AI development company is seeking experienced quantitative professionals to evaluate AI-generated work. The role involves solving quantitative problems, designing analyses, and providing impactful feedback on AI models. Ideal candidates have a strong quantitative background (e.g., data science, economics, statistics) and must be comfortable coding. The position offers flexibility to work remotely with competitive pay starting at $40+ per hour.
#DataScience #Jobs #Hiring #AI #ML
━━━━━━━━━━━━━━
💼 Remote Data Scientist & AI Trainer - Shape AI Reasoning
🏛 Company: DataAnnotation
📍 Location: Washington, US
📋 Type: Full-Time | On-site
📅 Posted: 24 Apr 2026
📝 A leading AI development company is seeking experienced quantitative professionals to evaluate AI-generated work. The role involves solving quantitative problems, designing analyses, and providing impactful feedback on AI models. Ideal candidates have a strong quantitative background (e.g., data science, economics, statistics) and must be comfortable coding. The position offers flexibility to work remotely with competitive pay starting at $40+ per hour.
#DataScience #Jobs #Hiring #AI #ML
Data Science Jobs
🆕 New Job Opportunity 🌍 ━━━━━━━━━━━━━━ 💼 Data Scientist, Ai Infrastructure and MCP (onsite) 🏛 Company: Thermo Fisher Scientific 📍 Location: None, None 📋 Type: Full-Time | On-site 📅 Posted: 26 Apr 2026
📝 Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
Company Overview
Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion. Our mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, improving patient diagnostics and therapies, or increasing productivity in their laboratories, we are here to support them.
Location / Division
This is an onsite position that can be hired in Grand Island, NY, Carlsbad, CA or Hunt Valley, MD. Location near these 3 sites is required. Relocation assistance is not provided.
How will you make an impact?
We are seeking a highly motivated Data Scientist with strong hands-on expertise in AI/ML & LLM technologies. In this role, you will be part of the Data Science team within the Biologicals and Chemicals Division, one of the fastest-growing businesses in the company supporting developers and manufacturers of biological-based therapeutics and vaccines. With our portfolio of best-in-class digital and bioprocessing products, we empower innovation from early discovery through large-scale commercial manufacturing.
Core Responsibilities
• Design, develop, and maintain backend services and AI-enabled applications that support scientific and bioprocessing workflows.
• Develop and optimize retrieval components (e.g., embeddings, document indexing, vector search) used in RAG-based applications.
• Support integration and access to scientific and operational databases through well-defined APIs and backend services.
• Package internal tools, data pipelines, and workflows as reusable AI-enabled components or agents that can be executed within orchestration or workflow frameworks.
• Collaborate closely with scientists, data engineers, and platform teams to gather requirements, define technical specifications, and deliver reliable, production-ready solutions.
• Create clear technical documentation and usage guides to support internal adoption and long-term maintainability.
Extended Responsibilities (Optional / Career Growth)
• Build and evolve scalable LLM inference, agent execution, or orchestration services (e.g., MCP-style patterns) in production environments.
• Participate in experimentation, evaluation, and optimization of AI/ML or LLM-based approaches.
• Implement tooling and automation for monitoring, testing, and operational support of backend services.
• Stay current with emerging AI/ML and LLM technologies and contribute ideas for future platform or capability enhancements.
Education
• Bachelor’s Degree in Computer Science or a related field
• Master’s or higher degree is a plus but not required
Experience & Qualifications
Must Have
• 2+ years of professional software engineering experience building backend or data-driven applications
• Proficiency in Python and experience developing APIs, services, or microservices
• Solid understanding of data fundamentals, including data preprocessing, structured data handling, and data quality considerations
• Strong analytical, problem-solving, and debugging skills
• Ability to work independently and collaboratively in cross-functional engineering and scientific teams
Nice to Have
• Exposure to AI/ML, Generative AI, LLMs, or RAG-based systems
• Familiarity with common ML or AI libraries and frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain)
• Experience with data pipelines or distributed systems
Preferred Experience / Good Learning Opportunities
• Experience with vector databases or embedding-based retrieval systems
• Exposure to cloud-based development or deployment (preferably AWS)
• Familiarity with agent-based systems, orchestration frameworks, or model deployment and monitoring concepts
• Curiosity and enthusiasm for learning and applying emerging AI/ML and LLM technologies
Join Us
At Thermo Fisher Scientific, each one of our 70,000 extraordinar...
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
Company Overview
Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion. Our mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, improving patient diagnostics and therapies, or increasing productivity in their laboratories, we are here to support them.
Location / Division
This is an onsite position that can be hired in Grand Island, NY, Carlsbad, CA or Hunt Valley, MD. Location near these 3 sites is required. Relocation assistance is not provided.
How will you make an impact?
We are seeking a highly motivated Data Scientist with strong hands-on expertise in AI/ML & LLM technologies. In this role, you will be part of the Data Science team within the Biologicals and Chemicals Division, one of the fastest-growing businesses in the company supporting developers and manufacturers of biological-based therapeutics and vaccines. With our portfolio of best-in-class digital and bioprocessing products, we empower innovation from early discovery through large-scale commercial manufacturing.
Core Responsibilities
• Design, develop, and maintain backend services and AI-enabled applications that support scientific and bioprocessing workflows.
• Develop and optimize retrieval components (e.g., embeddings, document indexing, vector search) used in RAG-based applications.
• Support integration and access to scientific and operational databases through well-defined APIs and backend services.
• Package internal tools, data pipelines, and workflows as reusable AI-enabled components or agents that can be executed within orchestration or workflow frameworks.
• Collaborate closely with scientists, data engineers, and platform teams to gather requirements, define technical specifications, and deliver reliable, production-ready solutions.
• Create clear technical documentation and usage guides to support internal adoption and long-term maintainability.
Extended Responsibilities (Optional / Career Growth)
• Build and evolve scalable LLM inference, agent execution, or orchestration services (e.g., MCP-style patterns) in production environments.
• Participate in experimentation, evaluation, and optimization of AI/ML or LLM-based approaches.
• Implement tooling and automation for monitoring, testing, and operational support of backend services.
• Stay current with emerging AI/ML and LLM technologies and contribute ideas for future platform or capability enhancements.
Education
• Bachelor’s Degree in Computer Science or a related field
• Master’s or higher degree is a plus but not required
Experience & Qualifications
Must Have
• 2+ years of professional software engineering experience building backend or data-driven applications
• Proficiency in Python and experience developing APIs, services, or microservices
• Solid understanding of data fundamentals, including data preprocessing, structured data handling, and data quality considerations
• Strong analytical, problem-solving, and debugging skills
• Ability to work independently and collaboratively in cross-functional engineering and scientific teams
Nice to Have
• Exposure to AI/ML, Generative AI, LLMs, or RAG-based systems
• Familiarity with common ML or AI libraries and frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain)
• Experience with data pipelines or distributed systems
Preferred Experience / Good Learning Opportunities
• Experience with vector databases or embedding-based retrieval systems
• Exposure to cloud-based development or deployment (preferably AWS)
• Familiarity with agent-based systems, orchestration frameworks, or model deployment and monitoring concepts
• Curiosity and enthusiasm for learning and applying emerging AI/ML and LLM technologies
Join Us
At Thermo Fisher Scientific, each one of our 70,000 extraordinar...
Data Science Jobs
🆕 New Job Opportunity 🌍 ━━━━━━━━━━━━━━ 💼 Senior Data Scientist 🏛 Company: Leidos 📍 Location: Herndon, US 📋 Type: Full-Time | On-site 📅 Posted: 23 Apr 2026
📝 Description
Leidos is seeking a Senior Data Scientist who will work closely with client stakeholders to support economic analysis of national importance through application of advanced statistics and data science techniques and technologies. In this position, you will utilize your strong background in statistics, machine learning, generative AI, visualization, economic analysis, and big data processing to plan and execute projects to meet business client data needs.
Who we are:
Leidos is a Fortune 500® technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets. Leidos Civil Group helps the government modernize operations with leading edge AI/ML driven data management and analytics solutions. We are a trusted partner to both government and highly-regulated commercial customers looking for transformative solutions in mission IT, security, software, engineering, and operations. We work with our customers including the FAA, DOE, DOJ, NASA, National Science Foundation, Transportation Security Administration, Custom and Border Protection, airports, and electric utilities to make the world safer, healthier, and more efficient.
In this role, you will:
• Partner with stakeholders to scope questions and assumptions, support solution design, and facilitate project execution.
• Design and implement robust data ingestion, storage, integration, processing, retrieval, and management strategies for research datasets.
• Build transparent, reproducible pipelines and analysis environments in cloud infrastructures.
• Produce crisp exhibits and memos that explain methods, limitations, and uncertainty.
• Facilitate and execute data-driven research by applying sophisticated statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science.
• Create compelling data visualizations and reports that convey complex research findings in a clear and accessible manner to both technical and non-technical stakeholders.
• Support defensible analytics and econometric/causal inference workstreams, translating ambiguous business or legal questions into testable hypotheses and clear, client-ready findings.
• Design and execute rigorous studies (e.g., difference-in-differences, panel models with fixed/random effects, instrumental variables/2SLS, time series/forecasting, etc.) to turn multi-source datasets into documented, auditable results.
• Mentor teammates on best practices.
• Stay updated on the latest academic research and industry advancements in data science, AI, and information systems, and apply relevant findings to ongoing projects
Basic Qualifications:
• Bachelors degree with 8+ years of applied data science experience or a Master’s degree with 6+ years of prior relevant experience.
• Mastery of Python or R, statistical tools such as Stata, SAS and strong SQL.
• Expertise with ML algorithms (e.g. model selection, evaluation, feature engineering, etc.)
• Expertise with application of AI to deliver insights with optimal performance, cost savings, etc. using structured, unstructured data.
• Expertise with data visualization tools (e.g. Tableau, Matplotlib).
• Experience processing large datasets, deploying LLMs in government cloud data platforms (e.g. Azure ADLS/Databricks/Azure ML, or equivalents).
• Comparative understanding of LLMs (e.g. Claude Code, ChatGPT), and tradeoffs in terms of capabilities, cost, and performance.
• Excellent problem-solving skills and the ability to think critically and analytically to address complex research challenges.
• Exceptional verbal and written communication skills and a bias toward rigor, clarity, and defensibility over black-box modeling are essential.
• Familiarity with FISMA/NIST/Zero Trust security frameworks
• Current Principal Data Scientist (PDS) Certification.
Preferred Qualifications:
• Experience with Spark/Databricks.
• PhD preferred...
Leidos is seeking a Senior Data Scientist who will work closely with client stakeholders to support economic analysis of national importance through application of advanced statistics and data science techniques and technologies. In this position, you will utilize your strong background in statistics, machine learning, generative AI, visualization, economic analysis, and big data processing to plan and execute projects to meet business client data needs.
Who we are:
Leidos is a Fortune 500® technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets. Leidos Civil Group helps the government modernize operations with leading edge AI/ML driven data management and analytics solutions. We are a trusted partner to both government and highly-regulated commercial customers looking for transformative solutions in mission IT, security, software, engineering, and operations. We work with our customers including the FAA, DOE, DOJ, NASA, National Science Foundation, Transportation Security Administration, Custom and Border Protection, airports, and electric utilities to make the world safer, healthier, and more efficient.
In this role, you will:
• Partner with stakeholders to scope questions and assumptions, support solution design, and facilitate project execution.
• Design and implement robust data ingestion, storage, integration, processing, retrieval, and management strategies for research datasets.
• Build transparent, reproducible pipelines and analysis environments in cloud infrastructures.
• Produce crisp exhibits and memos that explain methods, limitations, and uncertainty.
• Facilitate and execute data-driven research by applying sophisticated statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science.
• Create compelling data visualizations and reports that convey complex research findings in a clear and accessible manner to both technical and non-technical stakeholders.
• Support defensible analytics and econometric/causal inference workstreams, translating ambiguous business or legal questions into testable hypotheses and clear, client-ready findings.
• Design and execute rigorous studies (e.g., difference-in-differences, panel models with fixed/random effects, instrumental variables/2SLS, time series/forecasting, etc.) to turn multi-source datasets into documented, auditable results.
• Mentor teammates on best practices.
• Stay updated on the latest academic research and industry advancements in data science, AI, and information systems, and apply relevant findings to ongoing projects
Basic Qualifications:
• Bachelors degree with 8+ years of applied data science experience or a Master’s degree with 6+ years of prior relevant experience.
• Mastery of Python or R, statistical tools such as Stata, SAS and strong SQL.
• Expertise with ML algorithms (e.g. model selection, evaluation, feature engineering, etc.)
• Expertise with application of AI to deliver insights with optimal performance, cost savings, etc. using structured, unstructured data.
• Expertise with data visualization tools (e.g. Tableau, Matplotlib).
• Experience processing large datasets, deploying LLMs in government cloud data platforms (e.g. Azure ADLS/Databricks/Azure ML, or equivalents).
• Comparative understanding of LLMs (e.g. Claude Code, ChatGPT), and tradeoffs in terms of capabilities, cost, and performance.
• Excellent problem-solving skills and the ability to think critically and analytically to address complex research challenges.
• Exceptional verbal and written communication skills and a bias toward rigor, clarity, and defensibility over black-box modeling are essential.
• Familiarity with FISMA/NIST/Zero Trust security frameworks
• Current Principal Data Scientist (PDS) Certification.
Preferred Qualifications:
• Experience with Spark/Databricks.
• PhD preferred...
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