data scientist sr

Key Skills

Databricks, DevOps, Java Programming, KPIs, Machine learning techniques, MLOps tools, Python Programming, R Programming, Scala Programming, SPARK Programming

Job Description

As a senior data scientist, you will… 

• Lead the design and development of scalable data science solutions from the start to the finish by utilizing optimization, time series modeling, machine learning, and statistical analysis. Build scalable processes for cleaning, aggregating, and loading data.
• Understanding business initiatives, challenges, questions, concerns, or ideas, transforming them into successful data science solutions, and monitor data science metrics and KPIs
• Mentor data analysts & data scientists on best practices, processes, frameworks, and KPIs
• Contribute to project planning, and assist the team with estimations, timelines, and prioritization. Assists in developing the analytical roadmap, data, and technology strategy.

We’d love to hear from people with:

• Education: BS+ with a concentration in a quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline. Masters preferred
• Minimum of 5+ years of industry experience in data and analytics work
• Strong problem-solving skills with the ability to influence leadership teams at different levels
• Experience working with optimization techniques (linear, integer and mixed integer programming, etc.) and tools (Gurobi, CPLEX, XPRESS, AIMMS, etc.)
• Operations research experience (local search, network optimization, related heuristics, etc.)
• Significant experience working with predictive and statistical modeling, machine learning, and strong expertise in all phases of the modeling pipeline
• Strong SQL, databases, and ETL / ELT skills required including cleaning and managing data.
• Advanced competency and expertise in Python, R, or some combination
• Experience working with distributed data processing frameworks such as Spark and Databricks, and languages such as Java, PySpark, or Scala
• Experience working with Dev Ops and/or ML Ops, preferred

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.