Remote Data Scientist: Insights & ML for Growth

Pioneering Pathways LLC

Boston (MA)

Hybrid

USD 110,000 - 165,000

Full time

7 days ago
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Benefits offered by this job

Competitive salary
Remote options
Access to cutting-edge tools

Job summary

Starter in Boston is seeking a Data Scientist to analyze large datasets and extract actionable insights that drive business decisions. You’ll work with product, engineering and business teams to identify opportunities for data‑driven optimization.

Responsibilities include developing statistical models and machine learning algorithms, creating clear visualizations and dashboards, defining KPIs, and communicating findings to both technical and non‑technical stakeholders.

Qualifications

  • Master’s degree or PhD in statistics, CS, or related field.
  • 3+ years of professional data science experience.
  • Strong programming skills and experience with data analysis libraries.
  • Ability to explain complex concepts to diverse audiences.

Responsibilities

  • Analyze large, complex datasets to identify patterns and trends.
  • Develop and implement statistical models and machine learning algorithms.
  • Create clear data visualizations and dashboards.
  • Collaborate with cross-functional teams to define metrics and KPIs.
  • Communicate findings and recommendations to technical and non-technical stakeholders.
  • Stay current with the latest developments in data science and ML.

Skills

Programming
Data analysis
Communication
Insights delivery

Education

Master’s or PhD in Statistics/CS

Job description

Starter in Boston is seeking a Data Scientist to analyze large datasets and extract actionable insights that drive business decisions. You’ll work with product, engineering and business teams to identify opportunities for data‑driven optimization.

Responsibilities include developing statistical models and machine learning algorithms, creating clear visualizations and dashboards, defining KPIs, and communicating findings to both technical and non‑technical stakeholders.

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