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Data Scientist

Job in Auburn Hills, Oakland County, Michigan, 48326, USA
Listing for: VOLTO Consulting
Full Time position
Listed on 2026-06-20
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Role:
Data Scientist Must Have Skills

Deep hands‑on experience with Palantir Foundry (Pipelines, Code Repos, Ontology, Workshop, Quiver)

Strong experience with Palantir AIP including AI workflows, agents, and decision intelligence & AI‑enabled use cases (preferred)

Experience integrating LLMs within Palantir AIP for enterprise use cases

Experience operationalizing ML models within Foundry

Strong hands‑on experience in Exploratory Data Analysis (EDA) and Root Cause Analysis (RCA)

Expertise in Machine Learning techniques: classification, regression, clustering, and time‑series forecasting

Proficiency in Python and SQL

Experience with ML libraries such as Scikit‑learn, XGBoost, Tensor Flow, or Py Torch

Solid foundation in statistics, probability, hypothesis testing, and experimental design

Experience working with large‑scale enterprise datasets

Roles & Responsibilities Data Science & Analytics

Perform EDA to identify trends, patterns, anomalies, and key business drivers in complex datasets

Conduct RCA to diagnose operational, business, and performance issues using data‑driven techniques

Design, build, and deploy machine learning models for predictive and prescriptive analytics

Apply statistical modeling, causal analysis, and hypothesis testing to validate insights and outcomes

Execute feature engineering, model evaluation, and performance tuning to ensure robust solutions

Design and analyze experiments and A/B tests to measure business impact

Implement Retrieval‑Augmented Generation (RAG) patterns where applicable

Troubleshoot data quality, model behavior, and workflow issues

Stakeholder & Delivery Engagement

Work closely with stakeholders in customer‑facing and consulting environments

Clearly articulate analytical logic, assumptions, and limitations to business and technical audiences

Support adoption and value realization of analytics and AI solutions

Managerial Skills

Strong analytical and problem‑solving skills

Excellent communication and stakeholder management capabilities

Ability to work independently and collaboratively in cross‑functional teams

Structured thinking and outcome‑oriented mindset

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