Data Analytics

Data Analytics Jobs

1,126 jobs found

2d ago

Senior Manager, Data Scientist - US Card (Generative AI Systems)

Information Technology Senior Management Forum McLean, VA

McLean, VA

2d ago

$225k - $257k/yr Full time Manager Ai Ml Artificial Intelligence

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Job Description

Senior Manager, Data Scientist - US Card (Generative AI Systems) on the Genesis team focuses on building and operating generative AI based data science solutions and ML driven products across the card business, with cross functional leadership and a broad tech stack.

Responsibilities

Collaborate with a cross functional team of data scientists, software engineers, and product managers to deliver a product customers love
Utilize a broad technology stack including Python, Kubernetes, AWS, H2O, Spark, and more to uncover insights from large volumes of numeric and textual data
Develop machine learning models through all stages of the lifecycle from design through training, evaluation, validation, and deployment
Translate the complexity of technical work into clear, actionable business objectives through strong interpersonal communication

Requirements

Either a Bachelor's degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) with 7+ years of data analytics experience, or a Master's degree in a quantitative field with the degree expected by the start date
At least 2 years of experience using open source programming languages for large scale data analysis
At least 2 years of experience applying machine learning
At least 2 years of experience working with relational databases

Technologies

Python
Kubernetes
AWS
H2O
Spark

Benefits

Health benefits
Financial benefits (incentives, cash bonuses, long-term incentives)
Inclusive set of health, financial and other benefits that support total well-being

Description

Data sits at the core of everything we do. Our early disruption of the credit card market came from personalizing offers through statistical modeling and relational databases, a move that helped launch a Fortune 200 company famed for data-driven decision making. As a Data Scientist on the Genesis team, you will join a group shaping the next wave of disruption at scale, working with cutting edge computing and ML technologies across billions of customer records to unlock opportunities that help people save time and money in their financial lives.

Team

The Generative AI Systems (Genesis) team within Card Data Science builds state-of-the-art generative AI solutions for dialogue, text summarization, reading comprehension, speech recognition, image and document processing, as well as time-series sequencing modeling. We partner with product, technology and design teams to deliver internal tools that improve efficiency for data analytics and business operations, as well as customer-facing applications that enhance the user experience.

Role Description

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, Kubernetes, 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

Qualifications

Basic qualifications

Either a Bachelor's degree in a quantitative field with 7+ years of data analytics experience or a Master's degree in a quantitative field with the degree expected by the start date
At least 2 years of experience using open source programming languages for large-scale data analysis
At least 2 years of experience applying machine learning
At least 2 years of experience working with relational databases

Preferred qualifications

PhD in a STEM field plus 4 years of data analytics experience
At least 1 year of AWS experience
At least 1 year of people management experience
At least 5 years of experience in Python, Scala, or R for large-scale data analysis
At least 5 years of experience with machine learning

Type: Full-time

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2d ago

Senior Data Scientist, Cloud Gaming - Prescriptive Analytics and Optimization

NVIDIA Santa Clara, CA

Santa Clara, CA

2d ago

$184k - $288k/yr Full time Senior Analytics Big Data

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Job Description

This senior data scientist role focuses on prescriptive analytics and optimization for real-time cloud gaming, delivering scalable ML/AI and optimization solutions for routing, scheduling, and capacity management at NVIDIA.

Location

Santa Clara, CA (onsite)

Compensation

USD 184,000 - 287,500 per year

Experience and Education

Minimum 6 years of experience with a BS/MS or equivalent experience, or a PhD in Data Science, Computer Science, Operations Research, Statistics, Applied Mathematics, or a related quantitative field.

Responsibilities

Develop and deploy scalable ML, AI, and optimization models to improve demand forecasting, optimize capacity allocation, and implement user-specific feature engineering for real-time cloud gaming services.
Create reusable framework deployments for data ingestion, processing, and analysis to support dynamic user interventions toward targeted business outcomes.
Apply domain knowledge of the product and software stack to identify data inconsistencies and enhance model performance, especially in the context of optimization results.
Analyze complex datasets to identify trends and patterns using supervised and unsupervised learning to inform prescriptive solutions.
Design and enhance real-time prescriptive scheduling pipelines using linear programming and constraint optimization to improve capacity utilization and user retention.
Increase organizational productivity by mining petabytes of data for actionable insights, often delivered as prescriptive recommendations.
Collaborate with a diverse set of partners to gather requirements, design robust solutions, and guide the team toward impactful results.
Leverage agentic AI to deliver advanced automation and programming solutions for complex analytical problems.

Requirements

BS/MS (or equivalent experience) with 6+ years of experience or PhD in Data Science, Computer Science, Operations Research, Statistics, Applied Mathematics, or related quantitative fields, with a focus on prescriptive analytics and optimization.
Strong foundation in probability, statistics, AI/ML, prescriptive modeling, and optimization methodologies such as linear programming, network flow, decision theory, and multi-armed bandit.
Proficient coding skills, primarily Python, with the ability to write readable, testable, maintainable, and extensible code; experience with optimization libraries such as Google OR-Tools.
Experience with data storage and processing tools and the ability to address issues in running large-scale software across substantial clusters.
Solid experience in data cleaning, aggregation, transformation, and extraction, with an understanding of how data quality affects performance.

Technologies

Python
SQL
Delta Lake
Apache Spark
Databricks
MLflow
Grafana
Elasticsearch
Google OR-Tools
Kubeflow

Benefits

Equity
Benefits

What you will be doing

Develop and deploy scalable ML, AI, and optimization models to improve demand forecasting, optimize capacity allocation, and craft user-specific features for real-time cloud gaming services.
Build reusable data ingestion, processing, and analysis frameworks to support dynamic user interventions for targeted business outcomes.
Apply product and software stack knowledge to resolve data inconsistencies and boost model performance within optimization contexts.
Identify and interpret patterns in complex data using supervised and unsupervised methods to inform prescriptive solutions.
Enhance real-time prescriptive scheduling pipelines through linear programming and constraint optimization to maximize capacity utilization and retention.
Drive organizational productivity by mining vast data stores for actionable insights and prescriptive guidance.
Collaborate with partners to define requirements, craft robust solutions, and lead the team toward meaningful results.
Utilize agentic AI to deliver automation and programming solutions for challenging analytical problems.

What we need to see

BS/MS (or equivalent experience) with 6+ years of experience or PhD in Data Science, Computer Science, Operations Research, Statistics, Applied Mathematics, or related quantitative fields, with a strong emphasis on prescriptive analytics and optimization.
Solid background in probability, statistics, AI/ML, prescriptive modeling, and optimization methods (eg, linear programming, network flow, decision theory, multi-armed bandit).
Strong coding ability in Python with experience in optimization libraries such as Google OR-Tools; ability to write clean, maintainable code.
Experience with data storage and processing tools and handling large-scale distributed software across clusters.
Proficiency in data cleaning, aggregation, transformation, and extraction, with awareness of data quality impacts on performance.

Ways to stand out from the crowd

Strong collaboration and presentation skills for working with multiple partners, with the ability to explain complex analytical solutions and their business implications.
Experience in time series analysis and forecasting for demand prediction in optimization contexts is advantageous.
Experience operating active ML production pipelines (MLflow, Kubeflow) with a focus on deploying and monitoring optimization models is advantageous.

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2d ago

Health Care Analytics and AI Senior Product Owner

Deloitte Dallas, TX

Dallas, TX

2d ago

$116k - $229k/yr Full time Ai Workflows Data Analytics Healthcare

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Job Description

Based in Dallas, TX, this onsite senior product owner role sits within Deloitte's Converge for Health Care portfolio. The position leads the development of healthcare analytics, data, and AI enabled products, translating business priorities into executable requirements and coordinating with engineering and data teams. The role offers a salary range of USD 116,200 to 229,100 annually and requires a bachelor's degree with at least four years of experience.

Responsibilities

Lead the execution of product roadmaps and delivery plans in collaboration with the Product Manager to maintain alignment, momentum, and clarity as priorities progress from concept to delivery.
Turn business goals, practitioner input, and client needs into clear user stories, functional requirements, and acceptance criteria, blending healthcare domain knowledge with technical fluency to bridge business context with engineering and data teams.
Collaborate with engineering, data, and analytics teams to coordinate development, testing, and deployment, ensuring requirements are understood and solutions meet intended use cases and outcomes.
Oversee daily backlog management, including prioritization, grooming, and sprint planning, balancing near-term delivery with long-term product direction.
Participate in agile ceremonies and collaborative sessions to keep development progress aligned with the roadmap, milestones, and stakeholder expectations.
Contribute to research, documentation, and design of new features by engaging with Deloitte leadership, practitioners, and clients to capture insights, validate assumptions, and inform decisions grounded in real-world use.
Support pilot initiatives and early deployments of new analytics capabilities, including GenAI enabled features and emerging agentic workflows, translating early learnings into scalable product improvements.
Develop product collateral, demonstrations, and internal enablement materials to promote adoption across Deloitte Consulting teams and client engagements.
Monitor product usage, performance signals, and feedback to identify opportunities for refinement or future investment, sharing insights with the Product Manager and the broader product team.

Requirements

Proven ability to translate unclear business and domain needs into well-defined product requirements and actionable work items.
Solid healthcare domain knowledge with experience applying analytics or data-driven solutions to healthcare operations and performance improvement.
Technical fluency with analytics platforms and data-driven products, enabling effective collaboration with engineering, data, and analytics teams without requiring hands-on coding.
Strong analytical and problem-solving skills, capable of synthesizing inputs, weighing tradeoffs, and delivering clear implications.
Clear written and verbal communication, capable of engaging product managers, engineers, consultants, and senior stakeholders.
Ability to influence across cross-functional, fast-moving, matrixed teams to drive progress.
Comfort with agile delivery, including backlog tracking, sprint planning, documentation, and collaboration tools to organize work and communicate progress.
Curiosity about emerging technologies such as advanced analytics, automation, GenAI, and agentic systems, and interest in applying them responsibly within healthcare products.
Comfort working in evolving product portfolios where priorities and investments continue to mature over time.

Benefits

Discretionary annual incentive plan

The Team

The role is embedded in Converge for Health Care, Deloitte's industry focused healthcare asset studio, and sits within Deloitte Consulting's Innovation & Delivery Transformation (I&DT) practice.

Product Owners in Converge for Health Care collaborate with Product Managers, engineering and data teams, Deloitte Consulting practitioners, and client stakeholders. The team operates at the intersection of healthcare domain expertise, analytics platforms, and delivery execution, ensuring products address real-world use and are continuously refined based on delivery and market feedback.

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2d ago

Signals Data Analyst, Mid

Booz Allen Hamilton Buckley AFB, CO

Buckley AFB, CO

2d ago

$69k - $158k/yr Full time Analyst Data Analysis Data Analytics

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Job Description

Booz Allen Hamilton is seeking a mid-level Signals Data Analyst to join the team onsite at Buckley AFB in Colorado. This role centers on integrating SIGINT and non-SIGINT data sources to close discovery gaps, optimize client systems, and build solutions for problems of moderate scope, with independence and mentoring opportunities for junior staff.

Responsibilities

Utilize SIGINT and non-SIGINT data sources to close discovery gaps, improve client systems, and enhance the ability to pursue essential data.
Apply functional, working, and general industry knowledge to daily tasks.
Develop or contribute to solutions addressing a range of problems with moderate scope and complexity.
Work independently with some guidance from leadership.
Review or guide the activities of junior staff as needed.

Requirements

2+ years of experience with signal data analysis
Knowledge of foreign instrumentation signals (FIS) or intelligence sources and tools
Knowledge of databases and their role in analysis
Ability to analyze data and produce high-quality analytical reports
TS / SCI clearance
HS diploma or GED

Benefits

Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program

Identity Statement

As part of the hiring process, you will undergo an identity verification process that utilizes advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. Booz Allen reserves the right to take a photograph to verify identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of Booz Allen's daily work, and the company supports the responsible and ethical use of AI tools. Use of artificial intelligence or other tools to assist with interview responses is prohibited unless explicit permission is granted.

Work Model

Onsite: Work will primarily be performed at a Booz Allen office or a customer facility, where collaboration with colleagues and clients occurs as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable law.

Clearance

Applicants selected will undergo a security investigation and may need to meet eligibility requirements for access to classified information. TS/SCI clearance is required.

Compensation

Salary range: The projected compensation range for this position is $69,400.00 to $158,000.00 (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. Salary at Booz Allen is determined by location, the individual’s education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.

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2d ago

Data Engineer

Information Technology Senior Management Forum Bloomington, IL 🇺🇸 Remote

Bloomington, IL

2d ago

$153k - $153k/yr Full time Big Data Claims Data Pipelines Data Analysis

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Job Description

Data Engineer role focused on designing and implementing complex knowledge graph structures to enhance claims investigation and fraud detection through advanced graph analytics, with responsibilities spanning data engineering, ETL, DataOps, and cross-functional collaboration; option to work remotely in the U.S.

Responsibilities

Design and implement complex knowledge graph structures to bolster claims investigations and fraud detection via advanced graph analytics
Collaborate with cross-functional teams to drive data driven decision making and innovation
Apply industry standard languages and frameworks across coding, testing, security, DevOps, DataOps and data engineering practices with graph database technologies
Develop and maintain reusable, scalable, and compliant data solutions across multiple platforms and compute environments
Identify, acquire, cleanse, profile, and ETL data used in analytic discovery and production solution deployment across multiple platforms
Establish business domain knowledge for existing State Farm data sources and evaluate, recommend, and initiate data resource acquisitions, internal or external
Identify and consult on emerging technologies and critical core systems, including techniques, tools, data sources, and platforms in the data engineering field
Be familiar with handling datasets containing mixes of structured and unstructured data
Exhibit a DataOps mindset, ensuring data aligns to enterprise needs and leveraging automation to deliver quality data solutions
Collect and analyze information to identify customers' technical needs, propose solutions and develop implementation and integration plans (eg, technical proposals)
Be responsible for the analysis, design, deployment, support, and security of technology to ensure efficient management of technology and data-related assets in line with market best practices and external regulations
Apply a broad application of complex principles, theories, and concepts in computer science for data engineering solutions

Requirements

Bachelor’s degree or foreign equivalent in Computer Science or a closely related field
5 years of experience in the offered role or as a Specialist Programmer, or similar positions such as Machine Learning Engineer or Graph Data Engineer
5 years of experience with graph database management systems (Neo4j or Amazon Neptune) and knowledge of Cypher
5 years of experience with distributed computing frameworks, including Apache Spark
5 years of experience with programming languages, including Python or Java, and Scala
5 years of experience with containerization and orchestration, including Docker, Kubernetes, leveraging Graph Algorithms Libraries, and Neo4j GDS

Technologies

Neo4j
Amazon Neptune
Cypher
Apache Spark
Python
Java
Scala
Docker
Kubernetes
Graph Algorithms Libraries
Neo4j GDS

Benefits

Get Paid: eligible for annual raise and bonus on top of competitive pay
Stay Well: robust health and wellbeing programs; employer pays most healthcare premiums; multiple plans including high deductible; 100% in-network preventive care; vision, dental, telemedicine, 24/7 mental health support, and more
Develop and Grow: access to industry leading training, tuition assistance, employee resource groups, and mentoring
Plan Ahead: fertility/ IVF/ adoption assistance, college coaching, national discount programs, monthly financial workshops, free financial coaching, and savings account options or credit union access
Take a Little “You” Time: generous time off to plan around holidays, family events, volunteering; up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days
Give Back: Matching Gift Program, Good Neighbor Grant Program, and Employee Assistance Fund
Finish Strong: free financial planning and a 401(k) plan with company contributions up to 7%

Salary

USD 152,734 per year

Type

Full-time

Location

Bloomington, IL (remote)

Job ID

44799

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3d ago

Data Scientist - DIRECT HIRE

US Federal Transit Administration Denver, CO

Denver, CO

3d ago

$85k - $158k/yr Full time Analytics Business Intelligence Data

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Job Description

Join a mission driven team at the U.S. Department of Transportation, Federal Transit Administration. This direct hire Data Scientist role concentrates on leveraging data assets, governance, and analytics including AI to boost mission delivery, streamline operations, and support informed decision making. The position is onsite in Denver, CO with a salary range of USD 85,447 to 158,322 per year, and situational telework may be available pending supervisor approval. This role helps build foundational data science capabilities across FTA for current and future analytics initiatives.

Responsibilities

Collaborate with analysts and internal stakeholders to map business processes, gather requirements, design analysis approaches, and coordinate the development of data products.
Analyze diverse data sources to deliver data driven insights and recommendations that streamline operations and improve program performance; present findings to technical and non technical audiences, including senior leadership.
Develop, document, and apply statistically sound methods and strategies to ensure information used for management decisions is valid and reliable.
Test data quality and compliance with internal policy; perform data wrangling and propose broadly applicable recommendations to address data imperfections.
Contribute to building the scientific and technical capabilities within FTA to support ongoing and future data analytics projects; share knowledge on tools, technologies, and best practices.

Qualifications

Experience interpreting data sets and applying statistical and analytic methods to identify patterns that guide decision making, streamline operations, or improve programs.
Experience with Python, R, SQL or other analytical tools to develop analyses, reports, or data products.
Experience translating business problems into objective, measurable statements and communicating results through clear visuals and stakeholder-facing explanations.
Three years of progressively higher level graduate education leading to a PhD or a PhD or equivalent doctoral degree.
Combination of education and experience: coursework equivalent to a major field of study (30 semester hours) plus additional education or relevant experience.
Experience supporting efforts to enhance data governance, management, and use across an organization, including collaboration with diverse stakeholders.
Experience directing advanced data science and AI initiatives from concept to deployment, including guidance on model classification, developing machine learning algorithms, and evaluating models deployed in production.
Data Analysis and Analytics: ability to manipulate internal and external data sources, structured and unstructured, to achieve organizational goals.
Data Management: knowledge of data management principles, modeling techniques, backups, recovery, dictionaries, warehousing, mining, archiving, disposal, and standardization processes.
Data Visualization and Communications: skills to generate reports or visualizations, communicating findings and limitations in plain language and with supporting diagrams or media.
Service Delivery: focus on meeting internal and external customer needs, incorporating feedback to improve products and services, and committing to continuous improvement.

Technologies

Python
R
SQL

Locations and work setup

1 vacancy across multiple locations: Denver, CO; Washington, DC; Atlanta, GA; Chicago, IL; Cambridge, MA; Kansas City, MO; New York, NY; Fort Worth, TX; Seattle, WA

Work site: Telework may be eligible on a situational basis. If teleworking, a telework agreement will be required in accordance with agency policy.

Eligibility and application details

Open to the public: U.S. Citizens, Nationals or those who owe allegiance to the U.S.
Career transition (CTAP, ICTAP, RPL): Federal employees whose position was eliminated and who are eligible for priority consideration.
Posting deadline: Due by 11:59 p.m. ET on July 21, 2026.
Direct Hire Authority will be used to fill this position; high application volume may limit consideration for all applicants. Veterans' preference and traditional rating and ranking do not apply to this vacancy.

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3d ago

Data Scientist

National Park Service Homestead, FL

Homestead, FL

3d ago

$80k - $103k/yr Full time Analyst Analytics Data Analysis

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Job Description

This role is a Data Scientist position within the National Park Service, stationed onsite in Homestead, Florida at Everglades National Park.

Job Details

Role: Data Scientist, GS-1560-11

Location: Homestead, FL (onsite)

Salary: USD 79,533 - 103,399 per year

Minimum Experience: 1 year

Education: Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science or related field

Responsibilities

Oversee and maintain the SFNRC relational database environment, guiding efforts to improve data access and overall efficiency
Design data management protocols to safeguard data integrity across multiple purpose built databases within the SFNRC framework, and collaborate with relational databases to implement automated data collection, analysis, and visualization workflows
Apply analytical and geostatistical methods to analyze spatial patterns across environmental, biological, and ecological datasets to address natural resource challenges in Everglades National Park
Engage regularly with SFNRC scientists including biologists, ecologists, hydrologists, modelers, and water quality specialists to analyze large-scale data, interpret results, and present findings while advising on data collection methods
Develop and coordinate protocols for data management and integration, oversee publication of data and metadata, and ensure public access to scientific data

Requirements

U.S. citizenship is required
Subject to a background or suitability investigation
Federal payments must be made via Direct Deposit
All required documents and a completed questionnaire must be submitted
Male individuals born after December 31, 1959 must be registered with Selective Service
A one-year probationary period applies to new federal employees or supervisors
Degree: Mathematics, Statistics, Computer Science, Data Science or a closely related field at bachelor's level or higher, or an equivalent combination of education and experience
Specialized Experience: At least one full year of specialized experience equivalent to the GS-09 level in the Federal service
Education note: A combination of education and experience as described, such as graduate-level study toward a PhD or a PhD or equivalent doctoral degree related to the position

Technologies

SQL
MySQL
Python
R
Shell scripting
Oracle
MS Access
Windows
Linux

Additional Information

Reasonable Accommodation Requests: You may request accommodation in your online application for USA Hire assessments; decisions are case by case. If eligible, you will receive an email invitation to complete the USA Hire Competency Based Assessments and must complete all assessments within 48 hours if the link is provided after the announcement closes
Recruitment or relocation incentives: If eligible and qualified, a recruitment or relocation incentive may be offered. The decision is case by case and is not guaranteed
Probation or trial period: A one-year probationary period or two-year trial period may be required to evaluate fitness and continued employment in the public interest
Privacy Act: The application contains information subject to the Privacy Act and is used to determine qualifications for employment; this information is authorized under Title 5, USC, Section 3302 and 3361
Telework: Duties are suitable for telework only during an emergency or natural disaster
Financial Disclosure: A new entrant Confidential Financial Disclosure Report (OGE Form 450) must be completed within 30 days of appointment