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Data Science & Analytics 🏢 Full Time ⭐️ Verified

Senior Statistician

Insight Data Analytics Inc.
Boston
Salary Estimate
USD 110.000 – USD 140.000
Posting Time
4 Mei 2026
Deadline
4 Mei 2027

Job description

Join Insight Data Analytics Inc. as a Senior Statistician and play a pivotal role in transforming complex datasets into actionable insights for Fortune 500 companies. If you are driven by the pursuit of data-driven excellence and long to work alongside leaders shaping tomorrow's industries, this is your opportunity to make meaningful impact in an innovative and collaborative environment based in Boston, MA.

Responsibility

  • Design, implement, and validate advanced statistical models to support decision-making processes.
  • Analyze large, complex datasets to identify trends, patterns, and opportunities for business growth.
  • Collaborate with data scientists, engineers, and business stakeholders to translate analytical findings into strategic initiatives.
  • Ensure data integrity and compliance with industry standards throughout all project stages.
  • Develop reports and visualizations to effectively communicate results to technical and non-technical audiences.
  • Mentor junior statisticians and provide technical guidance on best practices and methodologies.
  • Evaluate emerging statistical tools and recommend adoption as appropriate.

Qualification

  • Master’s or Ph.D. in Statistics, Mathematics, Data Science, or related field.
  • Minimum 5 years of professional experience in applied statistics or data analysis roles.
  • Proficiency in R, Python, and SQL for statistical computing and data management.
  • Strong background in predictive modeling, experimental design, and inferential statistics.
  • Exceptional analytical, problem-solving, and critical thinking skills.
  • Outstanding communication skills and ability to convey complex concepts clearly.
  • Demonstrated experience delivering actionable business insights from large datasets.
  • Experience collaborating in cross-functional teams in a fast-paced environment.

Required Skills

statistics R Python SQL predictive modeling data analysis data visualization experimental design statistical modeling communication

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