Kearney Activate - Data Scientist

Kearney
Washington
Workplace: OnsiteFull timeUSD 90,000 - 130,000 annuallyFunction: Data Science & Machine Learning0Education: bachelorsSkills: ["Problem-solving","Communication","Client-facing skills","Inquisitiveness","Quality mindset"]

Build hands-on data science end-to-end across the CRISP-DM lifecycle, using strong SQL and Python to perform exploratory data analysis, feature engineering, and statistical/machine learning modeling. Validate data and models with rigor by writing UAT test cases and automated validation scripts (e.g., pytest, RTF). Collaborate with a data architecture team, discuss work with clients, and use modern AI/GenAI tools for practical EDA support.

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FursaFursa
Kearney
Kearney
1 month ago

Kearney Activate - Data Scientist

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build hands-on data science end-to-end across the CRISP-DM lifecycle, using strong SQL and Python to perform exploratory data analysis, feature engineering, and statistical/machine learning modeling. Validate data and models with rigor by writing UAT test cases and automated validation scripts (e.g., pytest, RTF). Collaborate with a data architecture team, discuss work with clients, and use modern AI/GenAI tools for practical EDA support.
Location: Washington
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Work hands-on across CRISP-DM: business understanding, data understanding, feature engineering, and statistical modeling.
  • •Apply SQL and Python to perform exploratory data analysis, data preparation, and model building.
  • •Build and evaluate statistical and machine learning models under guidance from senior technical staff.
  • •Validate models and data rigorously by writing UAT test cases and owning data/model validation and automated validation scripts.
  • •Participate in client-facing discussions and collaborate with the data architecture team on data understanding and feature engineering.
Travel: Low travel

Pay and Benefits

Salary: USD 90,000 - 130,000 annually
Equity and Bonus:Equity
Perks:Paid Leave401kHealth InsuranceDentalVisionGym Membership

Key Requirements

  • •0-3 years of experience in data science, analytics, or a related hands-on modeling role (school/project ML/EDA acceptable).
  • •Strong, demonstrated SQL and Python with exposure to statistical modeling and exploratory data analysis.
  • •Comfortable across the CRISP-DM lifecycle (business understanding through feature engineering and modeling).
  • •A quality mindset for model and data validation, with attention to detail and double-checking.
  • •Ability to discuss work with clients and translate business questions into concrete modeling tasks.
Experience:0Aerospace & defenseLarge-scale constructionManufacturingSupply chainS&OP
Education:Bachelor's
Skills:Problem-solvingCommunicationClient-facing skillsInquisitivenessQuality mindset
Languages:English
Tech Stack:CRISP-DMSQLPythonPytestRTFAWSAzureGoogle CloudGitLLM-assisted EDAGenAI

Eligibility

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