Data Scientist

Data Scientist I–II | Statistical Analysis & ExperimentationLocation: Greenwood Village, CO (4 days onsite / 1 day remote)Contract: W2, 6-month rolling (long-term)Pay: $35–$50/hour (depending on experience; strong candidates with 3–4 years of experience will be targeted near the top of the range)Start: Interviewing nowOverview:Our Fortune 75 client is seeking a Data Scientist to join their Applied AI & Data Science team supporting GPT-related initiatives through statistical experimentation and model validation. This role blends data science, applied statistics, and experimentation — ideal for professionals with 1–4 years of experience, or strong recent master’s graduates with proven modeling, SQL, and statistical breadth eager to grow in an enterprise AI environment.Key ResponsibilitiesDesign and execute experiments (A/B testing, regression, causal inference) to measure GPT and AI model performance.Build and validate statistical models to ensure accuracy and consistency in AI-driven outputs.Conduct exploratory data analysis (EDA) and perform ad hoc SQL investigations (SQL required, not daily use).Collaborate with cross-functional partners (data engineering, ML, product) to interpret results and influence model development.Visualize and present experimental findings to technical and non-technical stakeholders.Required Skills & ExperienceBachelor’s or Master’s in Statistics, Data Science, Computer Science, or a related quantitative field.1–4 years of experience in data science, statistical analysis, or experimentation.Recent master’s graduates will be considered if they demonstrate strong modeling skills, SQL proficiency, and a broad understanding of statistics.Proficiency in Python (pandas, numpy, scikit-learn) and SQL.Experience with statistical programming languages such as R or Scala is a plus.Solid understanding of hypothesis testing, regression, and model evaluation.Excellent analytical and communication skills.PreferredExperience with A/B testing frameworks or experimentation platforms.Familiarity with Databricks, Spark, or Snowflake (experience with big data tools and environments preferred).Exposure to LLM/GPT evaluation (accuracy, bias, hallucination rate).Experience with visualization tools such as Tableau, Power BI, or similar.Understanding of geospatial or visualization platforms (e.g., ArcGIS Pro) is a plus.Why You’ll Love ItYou’ll join a collaborative data science team driving the company's innovation in applied AI. This role offers hands-on experimentation work, visibility across multiple technical teams, and long-term growth potential within one of the most advanced enterprise AI environments in the country.