Lead Data Scientist
New
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New RelicData Analytics
Atlanta, Georgia, USA; Chicago, Illinois, USA; Houston, Texas, USA; Portland, Oregon, USAFull-TimeLead
Salary163,000 - 204,000 USD per year
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLGitMachine LearningdbtMLOpsGenerative AI
Requirements
- 7+ years of experience in DS, Statistics, or a related field
- Expert-level proficiency in Python for data manipulation, statistical analysis, and model development
- Advanced knowledge of SQL for complex data querying and performance optimization
- Experience with supervised learning (Regression, Random Forests, Gradient Boosting like XGBoost/LightGBM)
- Experience with unsupervised learning (Clustering, Dimensionality Reduction)
- Experience with time series forecasting (ARIMA, Prophet)
- Experience with dbt for data transformation
- Ability to deploy models into production and familiarity with MLOps concepts
- Familiarity with software engineering practices (CI/CD, version control with Git, Jira)
- Expertise in developing or integrating GenAI models or AI agents
Responsibilities
- Lead the design, development, and deployment of advanced ML models and predictive algorithms to solve critical business problems.
- Serve as a technical subject matter expert, guiding the team on best practices in statistical analysis, experimentation design, and code quality.
- Partner with PMs and Engineers to translate ambiguous business questions into rigorous data science projects with actionable outcomes.
- Drive the adoption of MLOps best practices, ensuring models are scalable, reproducible, and monitored effectively in production.
- Perform deep-dive analyses on user behavior and product performance to identify opportunities for optimization and growth.
- Mentor and coach other data scientists and analysts, fostering a culture of continuous technical learning and innovation.
- Communicate complex technical findings to non-technical stakeholders through compelling data storytelling and visualization.
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