Kearney

5 days ago

Kearney Activate- Senior Data Scientist & Product Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 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

Website LinkedIn

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Kearney

5 days ago

Kearney Activate- Senior Data Scientist & Product Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

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

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Chicago, United States

Founded: 1926

Website LinkedIn