Senior Data Scientist

Takeda • Boston, MA

19h • Hybrid

About The Position

Takeda Development Center Americas, Inc. is seeking a Senior Data Scientist with the following duties: 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; apply and maintain methods, techniques and developments in analytics and data science; mentor and support other data scientists across multiple projects to drive the development of data science as a capability; develop and review working practices to ensure that data science work is delivered to robust quality standards. Up to 25% domestic travel required for hybrid requirements for onsite meetings and department events. Up to 75% remote work allowed. The estimated salary range reflects an anticipated range for this position. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

Requirements

• Master’s degree in Data Science, Analytics, Business Analytics, Computer Science, Engineering, or related field plus 4 years of related experience.
• 4 years of data and analytics experience in life science, pharma, biotech, technology companies or relevant regulated industries
• collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
• perform end-to-end data processing including extraction, cleaning, transformation, and analysis using SQL queries across multiple database systems
• develop advanced analytical solutions leveraging Python, R, and other programming languages to support data-driven decision making
• implement version control practices using Git to manage code repositories and leverage cloud computing infrastructure like AWS
• design and implement data visualization solutions using tools like Tableau, Power BI, or similar platforms and enable self-service analytics
• present data-driven insights and recommendations to senior leadership and key stakeholders

Responsibilities

• 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
• apply and maintain methods, techniques and developments in analytics and data science
• mentor and support other data scientists across multiple projects to drive the development of data science as a capability
• develop and review working practices to ensure that data science work is delivered to robust quality standards

Benefits

• U.S. based employees may be eligible for short-term and/or long-term incentives.
• U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others.
• U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees