Kearney Activate- Senior Data Scientist & Product Engineer

Kearney
United States
Workplace: OnsiteFull timeUSD 100,000 - 150,000 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Client-facing delivery","Communication","Mentoring","Problem-solving","Ownership"]

Deliver secure, cloud-hosted data and analytics solutions from problem framing through exploratory analysis, modeling, deployment, and ongoing monitoring. Build and evaluate traditional ML and LLM/RAG pipelines, deploy models via APIs or batch pipelines, and add tests and monitoring for performance and drift. Partner with client stakeholders and a data architecture team, apply MLOps and CI/CD discipline, document results, and mentor junior technical teammates.

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FursaFursa
Kearney
Kearney
1 month ago

Kearney Activate- Senior Data Scientist & Product Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Deliver secure, cloud-hosted data and analytics solutions from problem framing through exploratory analysis, modeling, deployment, and ongoing monitoring. Build and evaluate traditional ML and LLM/RAG pipelines, deploy models via APIs or batch pipelines, and add tests and monitoring for performance and drift. Partner with client stakeholders and a data architecture team, apply MLOps and CI/CD discipline, document results, and mentor junior technical teammates.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Translate ambiguous business questions into clear analytical approaches and select appropriate techniques.
  • •Perform exploratory data analysis to assess data quality, structure, and modeling opportunities.
  • •Design, build, and evaluate ML and LLM/RAG solutions using rigorous metrics and testing.
  • •Deploy models through APIs or batch pipelines, write tests, and monitor performance and drift.
  • •Collaborate with data architecture on pipeline, data quality, and schema decisions; document and communicate results to technical and business audiences.

Pay and Benefits

Salary: USD 100,000 - 150,000 annually
Equity and Bonus:Equity
Perks:401kPensionHealth InsuranceDentalVisionGym MembershipHsaHome OfficeProfit SharingPaid Leave

Key Requirements

  • •Own end-to-end data/ML solutions through production deployment and monitoring.
  • •Strong generalist capability across business framing, exploratory data analysis, modeling, deployment, and monitoring.
  • •Fluent with prompt engineering, RAG, and core LLM concepts (context, evaluation, temperature).
  • •Credible in data engineering conversations around pipelines and data quality.
  • •Experience building production-grade model deployments (APIs or batch pipelines) with testing and basic monitoring; plus strong communication and mentoring skills.
Experience:ConsultingAerospace and defenseManufacturingSupply chainSales and operations planning
Education:Bachelor's
Skills:Client-facing deliveryCommunicationMentoringProblem-solvingOwnership
Tech Stack:PythonSQLPower BITableauGitCI/CDAPIsMachine learningLLMsRAGPrompt engineeringDockerSparkJavaScriptReact

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.
Security Clearance:U.S. Secret

Company Brief

Kearney
Global management consulting firm advising businesses, governments, and institutions on strategy, operations, technology, and transformation to drive growth and performance across industries worldwide.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Chicago, United States
Founded: 1926
WebsiteLinkedIn