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Data Scientist

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Remote

Data Scientist

Datafold

Data Scientist

Skills

SQL QueriesPythonData ScienceData AnalysisMachine LearningAI

24 days ago

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Important information


Salary:

$155,000 / year

Location:

United States

Work mode:

Remote

Published on:

8 October 2026

What they need


Who you are

  • Master's Degree in Data Science, Applied Mathematics, or a closely related quantitative field
  • At least 2 years of previous experience in Data Science, Technology Evaluation, or Applied Analytical roles. Experience must include performance assessment of AI/ML technologies

What the job involves

  • Evaluate third-party tools, platforms, and emerging technologies relevant to data migration, data infrastructure, and AI-assisted workflows, including technical benchmarking and integration feasibility analysis, and build-versus-buy assessment
  • Develop and apply quantitative models and analytical frameworks to assess migration risk, predict data quality issues, and validate data consistency across source and target database environments throughout migration project delivery
  • Coordinate end-to-end delivery of customer data migration projects, including scoping, sequencing, milestone planning, risk identification, dependency management, and cross-functional execution across internal teams, customers, and external partners
  • Design, build, and maintain internal data pipelines and supporting infrastructure that integrate diverse structured and unstructured data sources for analytics and reporting and operational use cases
  • Develop repeatable analytical playbooks, migration frameworks, and data-driven operational accelerators based on hands-on project delivery experience
  • Implement data quality monitoring, automated regression validation, and lineage analysis workflows using Python and SQL to support platform development and customer migration engagements
  • Evaluate cloud and multi-cloud data environments for cost efficiency, reliability, and integration risk, producing analytical recommendations that inform architectural and sourcing decisions
  • Implement data models, dashboards, and internal reporting structures that unify multiple sources of information into actionable insights for product, sales, and operational teams
  • Support technology partnerships and external cooperation efforts by assessing integration opportunities and coordinating the technically sound implementation of partner solutions
  • Act as an internal subject matter resource for data pipeline evaluation and migration methodologies, validating analytical workflows on internal data and translating operational findings into structured product feedback

Benefits

  • Unlimited PTO
  • Co-working budget
  • Home office budget
  • Flexible working hours
  • Parental leave

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