Senior Data Scientist

Takeda

Cambridge, MA, USA
Base: $162,000 to $260,000 py; bonus/equity: u.s. ...
Hybrid
Translate business problems into data 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 and 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: U.S. based employees may be eligible for short-term and/or long-term incentives; Benefits: U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and/or long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others.

Skills & Requirements

Must-have

  • Translate business problems into data solutions
  • Lead data science projects
  • Communicate results and limitations
  • Apply analytics and data science methods
  • Develop and review working practices
  • Data processing using SQL
  • Develop analytical solutions using Python/R
  • Implement version control with Git
  • Leverage cloud computing infrastructure (AWS)
  • Design data visualization solutions
  • Present data-driven insights

Nice-to-have

  • Collaborate with diverse users and partners
  • Mentor and support other data scientists
  • Drive development of data science capability
  • Ensure robust quality standards

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 collaborating with cross-functional teams
  • Experience with end-to-end data processing
  • Experience with Python, R, and other programming languages
  • Experience with Git
  • Experience with cloud computing infrastructure like AWS
  • Experience with Tableau, Power BI, or similar platforms
  • Experience presenting to senior leadership

Work Rights

Not specified

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