Jobs in the United States

25+ jobs

Added just now
Director of Marketing, Sales and Communications
Seattle Children's Theatre
Seattle, WA
Oversee all aspects of budget planning and forecasting to provide SCT leadership with the data needed for informed business decisions.
Added 1 min ago
Director, People AI Engineering & Innovation
American Bankers Insurance Company of Florida
United States
Establish and maintain clear operating interfaces across AI Innovation, Workday and People Technology, Data and Analytics, ERIN/Unify Experience, the Execution COE, functional teams and…
Added 2 mins ago
K
Junior Systems Engineer (Digital Engineering Process Support)
KBR
Chantilly, VA
- $82,000 to $102,000 USD / year
General awareness of digital industry trends such as Cloud/IaC, Data Analytics, DevSecOps, AWS and/or Azure, Containerization/micro-services
Added 2 mins ago
K
Job Posting Title Jr. Systems Engineer (Digital Engineering Process Support)
KBR
Chantilly, VA
- $82,000 to $102,000 USD / year
General awareness of digital industry trends such as Cloud/IaC, Data Analytics, DevSecOps, AWS and/or Azure, Containerization/micro-services
Added 2 mins ago
K
Job Posting Title Jr. Systems Engineer (Digital Engineering Process Support)
KBR
Chantilly, VA
- $82,000 to $102,000 USD / year
General awareness of digital industry trends such as Cloud/IaC, Data Analytics, DevSecOps, AWS and/or Azure, Containerization/micro-services
Added 2 mins ago
K
Jr. Systems Engineer (Digital Engineering Process Support)
KBR
Chantilly, VA
- $82,000 to $102,000 USD / year
General awareness of digital industry trends such as Cloud/IaC, Data Analytics, DevSecOps, AWS and/or Azure, Containerization/micro-services
Added 2 mins ago
K
Job Posting Title Jr. Systems Engineer (Digital Engineering Process Support)
KBR
Chantilly, VA
- $82,000 to $102,000 USD / year
General awareness of digital industry trends such as Cloud/IaC, Data Analytics, DevSecOps, AWS and/or Azure, Containerization/micro-services
Added 2 mins ago
K
Junior Systems Engineer (Digital Engineering Process Support)
KBR
Chantilly, VA
- $82,000 to $102,000 USD / year
General awareness of digital industry trends such as Cloud/IaC, Data Analytics, DevSecOps, AWS and/or Azure, Containerization/micro-services
Added 2 mins ago
K
Jr. Systems Engineer (Digital Engineering Process Support)
KBR
Chantilly, VA
- $82,000 to $102,000 USD / year
General awareness of digital industry trends such as Cloud/IaC, Data Analytics, DevSecOps, AWS and/or Azure, Containerization/micro-services
Added 2 mins ago
Vice President, Client Success
Visa U.S.A. Inc.
Ashburn, VA · Denver, CO · Atlanta, GA
Use data, analytics, automation, and AI-enabled capabilities to improve decision-making, team effectiveness, and client value.
Added 3 mins ago
Digital Adoption Senior Strategist
Sidley Austin LLP (IL LLP)
United States
Manage integrations between the Firm’s HCM system and digital adoption platforms, including integration design, data validation, synchronization, and troubleshooting to ensure data accuracy…
Added 5 mins ago
Private Client Risk Advisor
Gallagher
New York, NY
In this role, you’ll connect with new and existing clients to understand their personal insurance needs and provide customized solutions. You’ll manage client relationships, ensuring they…
Added 6 mins ago
UG
Infrastructure & Engineering Development Program - Eden Prairie, MN
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United States
- $60,200 to $107,400 USD / year
…cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use…
Added 6 mins ago
Predictive Maintenance Specialist - Power Technical SME
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…for predictive remediation in mission-critical environments, and champion continuous improvement initiatives. Experience with digital platforms for data analysis is highly desirable.…
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UI/UX Designer/Developer
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Marketing Manager
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Hummelstown, PA
The Marketing Manager leads, builds, and scales Flagger Force’s marketing and public relations function. This role owns marketing planning, brand stewardship, demand marketing, sales…
Added 7 mins ago
Manager Product Management Performance Enablement
Highmark Health
Remote, United States
Collaborate with product managers, owners, business stakeholders, and analytics teams to identify and build measurement plans and data requirements while ensure data availability, while…
Added 7 mins ago
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Senior Forward Deployed Industry Consultant, Pharma
SAS
UNAVAILABLE, NJ
- $136,948 to $167,380 USD / year
In this role, you will operate as an embedded consultant and forward‑deployed engineer, working closely with business, data science, engineering, and IT teams at the customer site in New…
Added 7 mins ago
Sr. Specialist, Manufacturing Engineering (Industrial Engineer)
L3Harris Technologies
Palm Bay, FL
We are seeking an innovative and analytically driven Senior Industrial Engineer to join our dynamic Industrial Engineering team. In this high‑impact role, you will blend classical…
Added 7 mins ago
Specialist, Manufacturing Engineering (Industrial Engineer)
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Palm Bay, FL
We are seeking a highly motivated Industrial Engineer to join our Space and Mission Systems Industrial Engineering team in support of manufacturing operations for mission‑critical products.…
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Data Engineer
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Lead the architecture, design, development, and operation of scalable data pipelines and ETL/ELT processes for analytics, reporting, and mission operations
Added 7 mins ago
Associate SAP Business Analyst
ADB SAFEGATE
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…business alignment, architecture, program management, governance and information management. Upcoming initiatives include marketing and lead automation, pipeline and quotation management,…
Added 8 mins ago
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Senior Specialist, Java/Angular Full-Stack Engineer
BNY
Boston, MA · Westborough, MA
- $71,000 to $123,000 USD / year
…to join our Performance & Compliance Team in the development and enhancement of Investment Analytics applications and capabilities. This role is located in Boston, MA Or Westborough,…
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Senior MBS Portfolio Manager (Senior Portfolio Officer)
World Bank Group
Washington, DC
At the World Bank Group (WBG), you’ll join a diverse, global community working across cultures, disciplines, and borders to address the world’s most pressing development challenges. With…
Added 9 mins ago
KW
Jr. Systems Engineer (Digital Engineering Process Support)
KBR Wyle Services, LLC
Chantilly, VA
- $82,000 to $102,000 USD / year
General awareness of digital industry trends such as Cloud/IaC, Data Analytics, DevSecOps, AWS and/or Azure, Containerization/micro-services

Senior Data Scientist

United States

Compensation for this role is based upon experience, qualifications, location, and education and typically ranges from $140,000 to $160,000.

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Job details

Pay: Compensation for this role is based upon experience, qualifications, location, and education and typically ranges from $140,000 to $160,000.
Apply by: Dec 3, 2026
Experience: Experience: 4+ years of professional experience in Data Science, Machine Learning, Applied Statistics, Advanced Analytics, or a closely related field.
Posting language: English
Posted: Nov 4, 2026

Original job description

At SOM, we are a collective committed to shaping a better future for our clients, communities and planet. We aspire to create the most sustainable, impactful work through creative, interdisciplinary teams with all the resources and diversity of a global firm. We value those who are passionate about excellence, innovation, integrity, inclusivity, and collaboration. Together we can achieve great things.

Success at SOM Means

Ideas: We believe in a meritocracy of ideas. We look to everyone to actively contribute to the discourse in the firm.
Knowledge: We believe that expertise is the result of lifelong learning. We are not expected to know everything, but rather to passionately pursue answers, develop new skills and deepen our knowledge.
Product: We strive for excellence in the concept, quality, and delivery of our work.
Individual: We value individuals who bring the highest standards of professionalism and personal integrity in the way they work. Each person can develop and contribute their wealth of attributes, skills and knowledge to support the overall health of the firm.
Team: We value the power of interdisciplinary integration. A positive team culture in which everyone collaborates openly towards common goals is essential.
Firm: We have a history of making transformative contributions to the profession and our communities. We are constantly innovating and attempting to bring new approaches, solutions and processes to our work.

Position Responsibilities

Advanced Analytics & Machine Learning: Develop and implement statistical, predictive, optimization, machine learning, and AI solutions that address meaningful business and design challenges. Select methods based on the problem and available data rather than applying technology for its own sake.
End-to-End Project Ownership: Independently drive data science projects from problem discovery and data exploration through modeling, validation, deployment, and adoption. Work effectively through ambiguity, identify missing information, and determine practical next steps with limited day-to-day direction.
Project Management & Problem Solving: Define scope, identify risks and dependencies, break ambiguous problems into concrete deliverables, and communicate progress and blockers clearly. Use documentation, experimentation, available tools, and targeted collaboration to independently investigate unfamiliar problems.
Predictive Modeling & Experimentation: Build, validate, and evaluate predictive and statistical models using rigorous analytical methods. Establish appropriate baselines, design experiments, select meaningful evaluation metrics, and communicate assumptions, limitations, and uncertainty.
Production Machine Learning: Develop analytical and machine learning solutions with production use in mind, including reproducibility, testing, versioning, deployment, monitoring, and maintainability. Work within shared engineering standards and contribute to improving those standards over time.
Data Analysis & Quality: Mine, interrogate, and combine data from multiple systems. Perform exploratory analysis, feature engineering, QA/QC, and validation to determine whether available data is reliable and appropriate for analytical use.
Data Products & Visualization: Translate analytical work into usable applications, APIs, datasets, reports, dashboards, or other decision-support tools. Communicate findings clearly to both technical and non-technical audiences.
Cross-Functional Collaboration: Work closely with Data Engineering, DevOps, technology teams, and business stakeholders to support secure, sustainable deployment and integration of data science solutions.
Business & Industry Understanding: Develop expertise in SOM’s business, architecture and design practices, project delivery, and operational processes in order to identify increasingly valuable applications of data science.
Data Governance & Documentation: Follow established security, governance, privacy, and documentation standards. Maintain clear documentation for models, analytical workflows, assumptions, dependencies, and production processes.
Ownership: Take responsibility for outcomes, not just assigned tasks. Proactively identify problems, recommend solutions, and follow work through implementation and adoption.
Technical Judgment: Develop and communicate informed technical opinions while remaining open to feedback, alternative approaches, and new evidence.
Mentorship & Knowledge Sharing: Share analytical techniques and best practices with colleagues and contribute to increasing data and AI literacy across the firm.
Continuous Improvement: Stay current with developments in data science, machine learning, AI, and analytical engineering, and help improve SOM’s tools, practices, and development standards over time.

Leadership

Inspires and leads others by example, participates in staff mentoring and training, clearly defines team member expectations and responsibilities, empowers others, and delegates where appropriate based on team members’ recognized abilities and potential.
Develops and/or manages, in collaboration with team members, a clear and consistent work plan to achieve the project budget, deliverables, and schedule.
Actively engages in internal and external professional development opportunities.
Contributes to the implementation of sustainable strategies in all project assignments and the associated development of staff knowledge.
Contributes to the development of standards, policies, and procedures.

Minimum Qualifications

Experience: 4+ years of professional experience in Data Science, Machine Learning, Applied Statistics, Advanced Analytics, or a closely related field. Demonstrated ownership and complexity of work are more important than years of experience alone.
Applied Modeling: Experience developing and evaluating statistical or machine learning models that solve real-world problems and support measurable business or operational outcomes.
Production Experience: Experience moving analytical or machine learning work beyond experimentation into production or regular business use. Familiarity with testing, reproducibility, deployment, monitoring, or related ML engineering practices.
Programming: Strong proficiency in Python and SQL, with experience working with common data science and machine learning libraries and large datasets.
Data Platforms: Experience working with modern cloud data platforms or analytical environments such as Databricks, Snowflake, AWS, Azure, or comparable technologies.
Statistics & Machine Learning: Strong grounding in statistical reasoning, model evaluation, feature engineering, experimentation, predictive modeling, and appropriate machine learning techniques.
Initiative & Resourcefulness: Demonstrated ability to work independently, investigate unfamiliar problems, learn new tools and techniques, and make progress without requiring detailed step-by-step direction.
Judgment: Ability to evaluate multiple technical approaches and recognize when a simpler analytical or rules-based solution is more appropriate than machine learning.
Communication: Clear and direct communicator who can collaborate effectively across technical teams and non-technical leadership.
Collaboration & Growth: Comfortable working in a collaborative environment, receiving feedback, working within shared engineering standards, and progressively taking greater ownership as the team’s data science capability matures.
Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or a related quantitative field, or equivalent professional experience.

Other Preferred Qualifications

Experience with Databricks, Spark/PySpark, MLflow, or similar machine learning and distributed data platforms.
Familiarity with modern analytics engineering and development practices, including dbt, Git, automated testing, and CI/CD.
Experience building analytical applications or internal data products using tools such as Streamlit or similar frameworks.
Experience with optimization, forecasting, experimentation, causal inference, NLP, or generative AI.
Experience working closely with Data Engineering or ML Engineering teams to productionize models.
Experience with cloud platforms such as AWS or Azure.
Interest in architecture, engineering, design, sustainability, or the built environment.

Compensation for this role is based upon experience, qualifications, location, and education and typically ranges from $140,000 to $160,000.

For more about SOM: www.som.com

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More about this job

Skills

Project management
Problem solving
Documentation
Data analysis
Work analytically
Data engineering
Production processes
Process improvement
Coaching
Machine learning
Statistics
ML
Python
SQL
Databricks
Snowflake
AWS
Microsoft Azure
Work independently
Communication skills
Leadership
Collaboration
Computer science
Apache Spark
PySpark
Mlflow
dbt
Git
Test automation
CI/CD
Forecasting
Natural language processing

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