Senior Data Scientist & Product Engineer - AI & MLOps

Kearney

Washington (District of Columbia)

On-site

USD 100,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Retirement contributions
Medical insurance
Gym discounts
Equity-based awards
Learning and development
Talent mobility & externships

Job summary

Kearney Activate is seeking a Senior Data Scientist / Product Engineer in the Washington, DC area to deliver secure, cloud-hosted data and analytics solutions for mobility, defense, and advanced industrial clients. You will translate business questions into analytical plans, build models, deploy via APIs, and monitor performance while mentoring junior teammates.

You will work at the intersection of business, product, and technology, collaborating with stakeholders and leading delivery in

Qualifications

  • Experience owning end-to-end data science solutions and taking them into production.

Responsibilities

  • Translate ambiguous business questions into an analytical approach and select techniques.
  • Conduct exploratory data analysis to understand data quality and opportunity.
  • Design, build, and evaluate analytical and ML solutions including LLM-based approaches.
  • Deploy models via APIs or batch pipelines with basic monitoring for performance and drift.
  • Collaborate with data architecture on pipelines, data quality, and schema decisions.
  • Apply MLOps fundamentals and CI/CD discipline to models and analytical code.
  • Document assumptions and communicate results to technical and business audiences.
  • Lead solution definition with client stakeholders and mentor junior staff.
  • Utilize modern AI and GenAI tools in daily workflows.

Skills

Python for data science
SQL
EDA & ML modeling
LLMs / RAG / prompts
Model deployment APIs
Git & CI/CD
Data visualization

Education

Bachelor's degree or equivalent
Advanced degree a plus

Tools

Docker
Spark
React
Power BI
Tableau

Job description

Kearney Activate is seeking a Senior Data Scientist / Product Engineer in the Washington, DC area to deliver secure, cloud-hosted data and analytics solutions for mobility, defense, and advanced industrial clients. You will translate business questions into analytical plans, build models, deploy via APIs, and monitor performance while mentoring junior teammates.

You will work at the intersection of business, product, and technology, collaborating with stakeholders and leading delivery in

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