Senior Data Scientist Boston, Ma category: Data Sciences

Takeda

Cambridge, MA, United States
Base: $162,000 to $260,000 py; bonus/equity: not s...
On-site
Translate business problems into analytical solutions
Lead data science projects
Communicate results and limitations
Collaborate with a diverse set of users and partners across multiple functions to translate unstructured, complex business problems into appropriate data, modelling and analytical solutions

Job Summary

  • Collaborate with a diverse set of users and partners across multiple functions to translate unstructured, complex business problems into appropriate data, modelling and analytical solutions.
  • Lead data science projects through the data, analytics & machine learning lifecycle, clearly and objectively communicate results, as well as their associated limitations.
  • U.S. based employees may be eligible for short-term and/or long-term incentives and a comprehensive benefits package including medical, dental, vision insurance, a 401(k) plan and company match.

Matching Summary

Collaborate with a diverse set of users and partners across multiple functions to translate unstructured, complex business problems into appropriate data, modelling and analytical solutions.

Salary

Base: $162,000 to $260,000 per year; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • translate business problems into analytical solutions
  • lead data science projects
  • communicate results and limitations
  • apply and maintain analytics methods
  • develop and review working practices

Nice-to-have

  • mentor and support other data scientists
  • drive data science capability development

Key Requirements

  • Master’s degree in Data Science, Analytics, Business Analytics, Computer Science, Engineering, or related field
  • 4 years of related experience
  • 4 years of data and analytics experience in life science, pharma, biotech, technology companies or relevant regulated industries
  • experience with SQL queries across multiple database systems
  • experience leveraging Python, R, and other programming languages
  • experience implementing version control practices using Git
  • experience leveraging cloud computing infrastructure like AWS
  • experience designing and implementing data visualization solutions using tools like Tableau, Power BI, or similar platforms
  • experience presenting data-driven insights and recommendations to senior leadership

Work Rights

Not specified

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