Senior Data Scientist

4 weeks ago

New York, New York, United States BlueCross BlueShield of North Carolina Full time
Job Title: Senior Machine Learning Engineer

Blue Cross and Blue Shield of North Carolina is seeking a highly skilled Senior Machine Learning Engineer to join our team.

About the Role

We are looking for a talented engineer to work closely with our Data Science team to deliver on our enterprise's Data Science MLOps strategy and capabilities.

The successful candidate will be responsible for designing and developing scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation.

They will also be responsible for ensuring performance and reliability of data processes, documenting and testing data processes, and collaborating with cross-functional teams to resolve data quality and operational issues.

Key Responsibilities
  • Define and extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes.
  • Document, and test complex data systems that bring together data from disparate sources, making it available to data scientists, and other users using scripting and/or programming languages.
  • Improve, deploy, and maintain models prepared by Data Scientists into production-grade cloud systems using scalable, efficient machine learning operations pipelines.
  • Write and refine code to ensure performance and reliability of data extraction and processing.
  • Lead requirements gathering sessions with business and technical staff to distill technical requirement from business requests.
  • Develop advanced SQL queries to extract data for analysis and model construction.
  • Own delivery of large, complex data and ML engineering projects.
  • Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation required to provide access to prepared data sets to analysts and data scientists.
  • Ensure performance and reliability of data processes.
  • Document and test data processes including performance of through data validation and verification.
  • Collaborate with cross functional team to resolve data quality and operational issues and ensure timely delivery of products.
  • Develop and implement scripts for database and data process maintenance, monitoring, and performance tuning.
  • Analyze and evaluate databases in order to identify and recommend improvements and optimization.
  • Design advanced eye-catching visualizations to convey information to users.
Requirements
  • Bachelor's degree and 5 years of experience with Data Warehouses and Data Lakes, Big Data platforms and programming in Python, R or other related language.
  • Understanding of ML Algorithms, experience creating & executing efficient MLOps pipelines, and tuning ML models.
  • Familiarity with large language models and with implementation of AI solutions in a cloud environment.
  • In lieu of degree, 7 years of the experience as stated above.
What We Offer

We offer a competitive salary range of $100,000 to $182,700.00, as well as a comprehensive benefits package, including health insurance, bonus plans based on performance, 401(k) with employer match, paid time off, and a variety of career development and wellness programs.

We are an equal opportunity employer and welcome applications from diverse candidates.

Please note that we use E-verify to confirm authorization to work in the United States.

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