Data Scientist

VOLTO Consulting; Auburn Hills (MI); On-site; USD 110,000 - 170,000; Full time

Job summary

VOLTO Consulting in Auburn Hills, MI is seeking a Data Scientist to lead data-driven initiatives across enterprise datasets. The role emphasizes hands-on Palantir Foundry development, AI workflow design, and ML model deployment to deliver predictive and prescriptive insights.

The ideal candidate will expertly perform EDA, RCA, and advanced ML techniques using Python/SQL and libraries such as Scikit-learn, TensorFlow, or PyTorch.

Qualifications

• 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
• 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, TensorFlow, or PyTorch
• Solid foundation in statistics, probability, hypothesis testing, and experimental design
• Experience working with large-scale enterprise datasets

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

Skills

Palantir Foundry

Python

SQL

Machine Learning

Statistics

EDA

RCA

A/B Testing

LLM integration

Tools

Palantir Foundry

Palantir AIP

Scikit-learn

TensorFlow

PyTorch

XGBoost

Job description

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 and 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, TensorFlow, or PyTorch

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