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Job Description

People Analytics Data Scientist

Takeda Pharmaceutical

USA Lexington, MA

About the role:

Join Takeda as a People Analytics Data Scientist, a Senior Manager level role, where you will use data science tools to generate new understanding to support our employees, partner across the organization to elevate our data and analytical capabilities and be champion for data privacy and ethics.  As part of the People Analytics team, you will report to the Head of Global People Analytics and work closely with our technology partners and Talent Management organization.

How you will contribute:

• Develop and implement statistical models and machine learning algorithms to predict employee outcomes such as behavior, performance, and attrition and to understand the factors that impact the outcome of interest with an understanding of the specific complexities working with people data entails.
• Analyze and interpret data related to employee demographics, performance, engagement, and retention to identify trends and patterns.
• Responsibly leverage Generative AI, Large Language models and deep learning to pull insights from large pools of people data.
• Stay current with industry trends and best practices in people analytics and data science, and contribute to the development of new methodologies and tools.
• Partner with the HR technology team, IT, and various other stakeholders to ensure that our data environment meets the organization’s needs, that we are leveraging the best tools available for our work and partnering with other parts of the organization where that is the best path.
• Efficiently surface critical information to HR and the broader organization to enable self-service insights and monitor for changes in our workforce.
• Be a champion for the power of data science in the People Analytics team, and help upskill to better leverage new methodologies to drive people insights.
• Make connections between business questions, HR expertise and analytical possibilities to prioritize work and get organization buy-in on solutions.
• Be a strong advocate and defender of Data Privacy and partner with stakeholders in HR, Ethics & Compliance, Data Privacy, Legal, etc.… to ensure that we are compliant, respectful, and transparent about the work that we do.

Minimum Requirements/Qualifications:

• Technical (Computer Science, Engineering, etc.) or Quantitative (Mathematics, Physics, Economics, etc.) Degree with strong understanding of data science.
• 3+ years’ experience working with People and Business data, building dashboard, developing models, and generating insights for decision making
• Expertise in multivariate statistics, (e.g., machine learning, multiple regression, structural equation modeling, trend analyses).
• Expertise in statistical software package(s) (e.g., data query tools, SQL, Python, R, Data Bricks).
• Experience in data acquisition and transformation, with an ability to both partner with technology teams and self-serve.
• Agile and able to work in ambiguous situations; experience in leading self and others to resolve issues with higher levels of management; Identify and resolve complex, technical operational and organizational problems.
• Strong written and oral communication skills with the ability to distill and articulate key messages to executives, stakeholders and customers.
• Understanding of multiple functions of HR (e.g. Compensation, Benefits, Talent Management, Employee Relations, Learning and Development, HR Operations and Technology, Organizational Development, and/or Change Management).