Data Scientist
Posted 3 hours ago USD 50.00 - 52.00 / hour
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
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
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