Senior Manager, Data Science

Remote $115k–$196k senior 2 months ago full-time quality 9/10

Role in brief

Chess.com is seeking a Senior Manager, Data Science to lead data science initiatives, develop algorithms, and improve user experience. This role involves managing a small team and collaborating across departments. Candidates with strong Python, SQL, and machine learning skills, along with management experience and a deep understanding of chess, should consider applying.

PythonSQLBigQueryGCPmachine learning

About the role

This role involves leading significant data science projects that span product development and fair play initiatives. The Senior Manager will be responsible for creating and implementing new algorithms, models, and data-driven features that directly enhance the user experience on the platform. Success in this position means delivering innovative solutions that improve the chess experience for users.

A key aspect of this role is developing novel algorithms and models. This includes designing and deploying creative heuristics, algorithms, and models that contribute to the platform's functionality. The individual will also collaborate with various teams across the company to align data science efforts with the overall product vision and execution strategy.

The Senior Manager will manage a small team of data scientists, providing guidance and oversight to their work. Effective communication is essential, particularly within the company's fully remote work environment. This position requires someone who can clearly articulate findings and ensure team efforts are well-coordinated.

The salary for this full-time role ranges from $115,000 to $195,500 USD.

Skills that matter here

  • Python: This role requires strong proficiency in Python for developing and implementing data science solutions and algorithms.
  • SQL: Strong SQL skills are necessary for querying and manipulating data to support data science projects.
  • BigQuery: Experience with BigQuery is expected for handling and analyzing large datasets within the company's infrastructure.
  • GCP: Familiarity with Google Cloud Platform (GCP) is relevant for deploying and managing data science models and services.
  • machine learning: Solid fundamentals in machine learning are crucial for creating and deploying predictive models and data-powered features.

Who this role suits

  • A person who thrives on leading data science projects and developing innovative algorithms.
  • Someone with a background in managing or mentoring data scientists.
  • An individual who communicates complex findings clearly and effectively in a remote setting.
  • A candidate with a deep personal familiarity and understanding of chess.

From the employer

What you'll do

  • Own high-impact data science work across product data science and fair play.
  • Create and build novel algorithms, models, and data-powered features.
  • Partner across the company on product vision and execution.
  • Design and deploy creative heuristics, algorithms, and models.
  • Manage a lean team of data scientists.
  • Communicate early and often in a fully remote culture.

Required Skills

  • 5+ years of data science experience.
  • Strong Python and SQL skills.
  • Comfortable with agentic workflows and tools.
  • Solid machine learning fundamentals.
  • Proven ability to communicate findings clearly.
  • Experience managing or mentoring other data scientists.
  • Deep familiarity with chess.

About the Opportunity

  • This is a full-time opportunity.
  • We are 100% remote (work from anywhere!).
  • Good overlap between Eastern time through Pacific Time zones.

Questions about this role

What is the remote work policy for this position?

This is a fully remote position, allowing the successful candidate to work from anywhere, with an emphasis on good overlap with Eastern through Pacific Time zones.

What level of seniority is expected for this role?

This is a senior-level position, requiring at least 5 years of data science experience.

What are the core technical skills required?

The core technical skills include strong Python and SQL, familiarity with BigQuery and GCP, and solid machine learning fundamentals.

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Before you apply

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