Senior Data Scientist Role

2 days ago


Raleigh, North Carolina, United States BitSight Technologies Full time

As a Senior Data Engineer at Bitsight Technologies, you'll play a key role in driving business impacts through data engineering challenges. Our team is passionate about leveraging data to make informed decisions, and we're looking for someone who shares our enthusiasm.

About Us

Bitsight Technologies is a cyber risk management leader transforming how companies manage exposure, performance, and risk for themselves and their third parties. We're proud to be an equal opportunity employer, committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.

Job Responsibilities

You'll be responsible for optimizing data flows and collection, implementing processes and systems to monitor data quality, developing scalable data pipelines and infrastructure, adding new sources, coding business rules, and producing new metrics that support data science and security research. You'll also create and implement code, along with unit/integration tests, and adhere to coding patterns, guidelines, styles, and best practices.

Requirements

The ideal candidate will have more than 5 years of experience as a Software/Data Engineer, with significant experience working on SaaS products. A strong academic background in a quantitative field (Computer Science, Engineering, or Applied Mathematics) is required. The candidate should be proficient in managing and developing scalable data pipelines and automation of data workflows using Python & Spark/Scala.

  • In-depth knowledge of AWS infrastructure and technology stacks for handling large datasets and table formats in a data lake environment
  • Experience in data models, data warehousing, building and optimizing ETL pipelines
  • Deep understanding and experience of orchestration tools, CI/CD paradigms, and SDLC best practices
  • Proven experience with SQL/NoSQL data warehouses
  • Skilled at optimizing large datasets and developing operational processes that improve data quality

The estimated salary range for this position is $140,000 to $160,000 annually.



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