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Data Science & Analytics 🏢 Full Time ⭐️ Verified

Senior Applied Statistician

Quantify Analytics
Boston
Salary Estimate
USD 120.000 – USD 150.000
Posting Time
1 Mei 2026
Deadline
1 Mei 2027

Job description

Are you passionate about driving impactful decisions through advanced statistics? Join Quantify Analytics in Boston and transform complex data into actionable insights as a Senior Applied Statistician. Collaborate with leading data scientists, contribute to groundbreaking projects, and make a measurable difference in business outcomes.

As part of an innovative analytics team, you will design and implement cutting-edge statistical models, ensuring our clients remain at the forefront of data-driven strategies. Grow your career in a dynamic, supportive environment that values expertise and vision.

Responsibility

  • Develop, validate, and implement advanced statistical models to solve real-world business problems.
  • Collaborate with cross-functional teams to interpret data and provide actionable recommendations.
  • Design experiments and perform rigorous statistical analyses to support key business initiatives.
  • Present complex findings to stakeholders in a clear and compelling manner.
  • Conduct exploratory data analysis to identify trends, patterns, and anomalies.
  • Advise on best practices in statistical methodologies and data quality improvement.
  • Mentor junior statisticians and contribute to their professional growth.
  • Stay current with new statistical techniques, tools, and industry developments.

Qualification

  • Master’s degree or Ph.D. in Statistics, Applied Mathematics, or related field.
  • 5+ years of hands-on experience in applied statistics or a related discipline.
  • Advanced proficiency in statistical programming languages (R, Python, or SAS).
  • Strong background in predictive modeling, Bayesian inference, and experimental design.
  • Excellent analytical, problem-solving, and communication skills.
  • Track record of delivering impactful analyses in a business or research environment.
  • Experience with large datasets and cloud-based analytics platforms (e.g., AWS, GCP) is a plus.
  • Ability to manage multiple projects and priorities in a fast-paced setting.

Required Skills

applied statistics statistical modeling R Python SAS experimental design data analysis business analytics cloud analytics mentoring

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