Data Science

Data Science Jobs

280 jobs found

13d ago

Senior AI/ Data Scientist - Pricing Promotion

Cargill Atlanta, GA

Atlanta, GA

13d ago

$105k - $160k/yr Full time Ai Ml Analytics Artificial Intelligence

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Job Description

The Senior AI and Data Scientist - Pricing Promotion role at Cargill focuses on leading the development and deployment of AI and ML models to inform pricing and promotions across the supply chain, embedding models into core workflows to drive business impact. This onsite position is based in Atlanta, GA, with a salary range of USD 105,000 to 160,000 per year.

Responsibilities

DATA PREPARATION MANAGEMENT: Conducts extraction and integration of complex data from different data sources, analyses the ways in which datasets may be biased and applies mitigation strategies.
DATA ANALYSIS: Reviews complex data sets for exploratory data analysis to identify trends and patterns that inform business strategies across various areas.
MODEL DEVELOPMENT: Develops and deploys artificial intelligence models, including monitoring and evaluating ongoing performance to solve complex business problems and derive actionable insights.
AI ENGINEERING: Establishes software and artificial intelligence engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied generative artificial intelligence software solutions and incorporates security practices in newly developed and maintained applications.
DOCUMENT & REPORTING: Documents development and code in ways that allow for support and knowledge sharing.
COMMUNICATION: Presents techniques and results to technical and non-technical audiences.
CONTINUOUS LEARNING: Examines existing and emerging artificial intelligence and optimization principles, theories, and techniques to develop and deploy artificial intelligence models into production, improving the organization's analytical capabilities.
STAKEHOLDER MANAGEMENT: Works closely with businesses to understand needs, and collaborates with cross functional teams to develop artificial intelligence models for digital applications.

Requirements

Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.

Benefits

Comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked
Discretionary incentive award
Minnesota Sick and Safe Leave accruals

Short Description

The expected salary for this position is $105,000 - $160,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company perform

Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.

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13d ago

Senior Data Scientist

Embedded Alliance Springfield, VA

Springfield, VA

13d ago

$120k - $140k/yr Full time Python Senior Analytical Skills

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Job Description

The Senior Data Scientist role at Embedded Alliance leads the design and deployment of end-to-end analytical solutions within agile teams. Based onsite in Springfield, VA, this position translates technical findings into actionable client insights and oversees projects from concept to deployment.

Responsibilities

Advanced Analytics Development: Conceptualize, design, develop, and test advanced analytical models and algorithms using Python, R, SQL, VBA, and Excel tailored to complex client problems.
Data Conditioning and Wrangling: Transform messy, unstructured, or disparate datasets into highly structured, analysis-ready assets through advanced data conditioning.
Database Management: Apply deep SQL proficiency to query, manipulate, and extract critical insights from large datasets.
Data Visualization and Decision Support: Create compelling visualizations, dashboards, and decision products that clearly convey analytical findings to stakeholders.
Mission-Critical Communication: Present highly technical and quantitative findings as clear, actionable insights for client decision-makers.
Independent Execution: Own projects from concept to deployment, delivering high-quality, hardened code with limited supervision.

Requirements

Clearance: Active TS/SCI security clearance (Non-negotiable).
Industry Experience: Demonstrated experience supporting GEOINT analysis or intelligence operations.
Data Analytics & Conditioning: Deep expertise in advanced data conditioning, data mining, and statistical analysis.
Technical Stack: Strong proficiency with SQL databases and hands-on coding in Python, R, and/or VBA.
Problem Solving: Exceptional troubleshooting skills and mature judgment in fast-paced, high-stress environments.
Communication: Outstanding ability to translate technical and quantitative findings into clear, actionable insights.
Workload Management: Excellent organizational skills with a track record of prioritizing tasks and meeting tight deadlines in small, cross-functional teams.
Experience: 5 years (Required).
Security clearance: Top Secret (Required).

Technologies

Python
R
SQL
VBA
Excel

Job Type

Full-time

Compensation

USD 120,000 - 140,000 per year

Experience

Relevant: 5 years (Required)

Security Clearance

Top Secret (Required)

Work Location

Springfield, VA (onsite)

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13d ago

Senior Manager, Data Scientist

Capital One New York, NY

New York, NY

13d ago

$246k - $281k/yr Full time Manager Ai Ml Analytics

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Job Description

Senior Manager, Data Scientist on Capital One's Generative AI Systems team within Card Data Science, onsite in New York, NY; salary USD 245,900 - 280,600 per year.

Responsibilities

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

Requirements

Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics
Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
At least 2 years of experience leveraging open source programming languages for large scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases

Technologies

Python
Kubernetes
AWS
H2O
Spark

Team Description

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

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13d ago

Data Scientist - AI/ML (TS/SCI w/ Poly)

Parsons Fort Meade, MD

Fort Meade, MD

13d ago

$112k - $196k/yr Full time Python Ai Ml Analytics

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Job Description

Data Scientist - AI/ML with TS/SCI w/ Poly clearance supports embedded Defensive Cyber operations for USCYBERCOM.

Responsibilities

Apply statistics, machine learning, and analytic methods to answer key intelligence questions, delivering results and reusable products that add value for Intelligence Analysts.
Leverage machine learning to identify data features, uncover hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate process steps.
Evaluate statistical models to validate analyses, deploy vetted models into production in collaboration with software developers, and periodically re-evaluate models in production.
Curate and collect data from traditional and non-traditional sources, including extraction, transformation, integration, and loading into data stores for broad access.
Collaborate with Data Scientists to develop processes and tools for monitoring model performance and data accuracy.
Work with analysts to interpret analytic results and refine analyses as needed.
Communicate results and recommendations clearly to decision makers, analysts, and stakeholders.
Document all processes, models, and activities by developing and implementing a configuration management plan for data sets.
Research the latest data science tradecraft and technologies to inform approach and practices.

Requirements

Active TS/SCI w/ polygraph required.
Bachelor's degree in a relevant field and 8 years of experience; an advanced degree may be considered in lieu of years of experience.
3+ years of Defensive Cyber Operations experience.
3+ years of machine learning techniques and statistical model evaluation.

Technologies

R
Python
SQL
AWS
Big Data Platform (BDP)
Linux
Windows
Ubuntu
CentOS
RHEL
Jupyter Notebooks
Network Analysis Tools
STIGs/IAVA
Cisco
CCNA

Benefits

Financial Wellness
Work Life Harmony
Career Development
Veteran Support
Mind & Body
Health

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13d ago

Senior Data Scientist (TS/SCI cleared)

Johns Hopkins Applied Physics Laboratory (APL) Laurel, MD

Laurel, MD

13d ago

$105k - $290k/yr Full time Senior Analytics Artificial Intelligence

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Job Description

This Senior Data Scientist role at Johns Hopkins Applied Physics Laboratory (APL) sits within the Threat Analytic Systems group. The position centers on applying AI and machine learning, statistical analysis, and software development to tackle data analysis challenges, building prototype software to collect and interpret intelligence data, and communicating findings to technical staff, management, and government decision makers.

Location

Laurel, MD (onsite)

Salary

USD 105,000 - 290,000 per year

Education

Master’s or PhD in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering, or a related engineering field

Responsibilities

Apply expertise in artificial intelligence, machine learning, statistical analysis, and software development to address complex data analysis problems for sponsors
Research, develop, evaluate, and deploy innovative data science and AI techniques and technologies
Develop prototype software to gather, process, and analyze intelligence data from diverse sources
Convey ideas and results through papers and presentations to technical staff, management, and government decision makers

Requirements

Master’s or PhD in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering, or a related engineering field
Experience with artificial intelligence, machine learning, and statistical analysis
Proven track record designing and developing algorithms and implementing systems for interdisciplinary problem solving
Hands-on experience with Python
Ability to work with loosely defined or high-level requirements
Capacity to set priorities and manage multiple dynamic projects, independently or as part of a team, to support evolving national security needs
Strong problem-solving, analytical, and organizational skills, with demonstrated initiative and excellent written and verbal communication
Active TS/SCI security clearance with eligibility for access to classified information; U.S. citizenship is required

Technologies

Python

Benefits

Generous education assistance program
Unparalleled retirement contributions
Healthy work-life balance
Retirement plans
Paid time off
Medical, dental, and vision insurance
Life insurance
Short-term disability
Long-term disability
Flexible spending accounts
Training and development

Nice to have

Experience with project management and/or leading technical teams

About Us

The Johns Hopkins University Applied Physics Laboratory (APL) delivers world-class expertise to address defense, security, space, and science challenges. APL fosters a culture that values diverse perspectives, creativity, and bold ideas, with a welcoming environment that supports growth and collaboration. Located in the Baltimore-Washington metro area, APL offers generous benefits, including education assistance, retirement contributions, and a healthy work-life balance. Applications are accepted on a rolling basis. APL is an equal opportunity employer; accommodations are available for applicants with disabilities. For accessibility needs, please contact Accessibility@jhuapl.edu.

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13d ago

Senior AI Engineer

Deloitte Minneapolis, MN

Minneapolis, MN

13d ago

$128k - $253k/yr Full time Senior Artificial Intelligence Big Data

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Job Description

Senior AI Engineer role with Deloitte in Minneapolis, MN onsite, focusing on designing, deploying, and optimizing AI infrastructure and data architectures for diverse client projects.

Responsibilities

Collaborate with clients to design, develop, and deploy architectures that enable machine learning and automation initiatives.
Apply advanced skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data across cloud or on‑prem environments.
Architect and lead development of scalable, high‑performance data solutions that support client business needs and AI or GenAI use cases.
Refine data architectures, pipelines, and database schemas (Graph, SQL, NoSQL) to enhance algorithm scalability and agile deployment.
Engage in architectural and deployment discussions to ensure solutions scale, are secure, and maintain high availability in cloud or on‑prem setups.
Advance engineering practices in automation, high‑performance computing, and AI/GenAI infrastructure design patterns.
Define and lead technology proofs of concept to validate feasibility of new data and cloud technology solutions.
Demonstrate thought leadership and practical execution toward modern data architecture and technology modernization.
Mentor and coach junior team members on technical best practices and professional development.

Requirements

Bachelor’s degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience.
4+ years in data engineering, data science, software engineering, or MLOps with a focus on AI and machine learning deployment.
4+ years designing cloud solutions and supporting production projects, with hands‑on experience in AWS (or Azure, GCP equivalents).
4+ years programming with Linux Shell/CLI, Python, SQL, PowerShell, or similar languages.
2+ years leading technical delivery teams on complex and critical projects.
2+ years of DevOps experience and working with CI/CD tools such as Puppet, Ansible, Chef, Airflow, Terraform, Jenkins.
2+ years of experience with database development and ETL/ELT pipelines across relational, NoSQL, and graph databases (including Neo4j).
2+ years deploying and optimizing environments using Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, and related tools.
Located within commuting distance to a Deloitte consulting office.
Ability to travel about 10% of the time depending on client engagements.
Limited immigration sponsorship may be available.

Technologies

AWS, Azure, GCP
Linux, Linux Shell/CLI
Python, SQL, PowerShell
Puppet, Ansible, Chef, Airflow, Terraform, Jenkins
Neo4j and graph databases, NoSQL
Kubernetes, Docker
NVIDIA TensorRT, Triton, RAPIDs, Kubeflow, MLflow
Kafka, CUDA, OpenCL

Benefits

Salary: USD 128,000 - 252,500 per year
Discretionary annual incentive program

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14d ago

Data Scientist

Booz Allen Hamilton Washington, DC

Washington, DC

14d ago

$99k - $225k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

This onsite Data Scientist role in Washington, DC offers a comprehensive benefits package and the opportunity to lead algorithm development and advise clients across sectors using data science, NLP, and ML.

Benefits

Health benefits
Life benefits
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care

Location: Washington, DC onsite. Compensation: USD 99,000 - 225,000 per year. Education: Bachelor's degree.

Responsibilities

Work closely with clients to understand their questions and needs, then explore data-rich environments to identify relevant information pieces
Guide teammates and lead the development of algorithms and systems
Use an appropriate mix of tools and frameworks to convert disparate data points into objective answers that inform client decisions
Provide a deep understanding of the data, its meaning, and how it can be used

Requirements

5+ years of experience in data science or analytics
1+ years of experience with natural language processing or text mining
Experience with Excel spreadsheets to include formulas and data structures for data analysis and reporting
Experience in Python programming to support data extraction, data cleaning, data mining, data transformations, and data analysis
Experience analyzing structured and unstructured data sources and with query languages like SQL variants to efficiently query and manage large datasets
Experience with Document Store Databases such as Elasticsearch and ArangoDB and Graph Databases concepts of nodes and edges
Experience with data visualization using Kibana, Tableau, or Power Bi to present data insights clearly through dashboards, charts, and graphs
Experience in producing detailed written intelligence reports and assessments
TS/SCI clearance
Bachelor’s degree