Data Scientist in Clinical Operations creating analytics and insights that enhance R&D productivity and patient centricity. Collaborating closely with stakeholders to support business needs through advanced analytics and decision support.
NU
Hybrid Manager II, Data Science – HR Analytics
Posted 5 days ago
About the role
- Manager II, Data Science leading HR Analytics and developing predictive models for decision-making. Collaborating with cross-functional teams to implement data-driven solutions across the organization.
Responsibilities
- Lead and mentor data scientists and analysts in developing advanced statistical models, algorithms, and data mining techniques translating business problems into advanced modeling approaches in support business initiatives
- Drive the evolution of our data science practices by implementing best practices in model development, validation, and deployment across various business units
- Collaborate with senior leadership and cross-functional teams to define strategic objectives, establish key performance indicators (KPIs), and prioritize projects that deliver actionable insights to the organization
- Communicate complex data-driven insights in a clear and concise manner to diverse audiences, fostering understanding and buy-in from stakeholders at all levels
- Manage the team including resource planning, ensuring the execution of complex modeling initiatives; partner with leaders in analytics, engineering, and business domains to integrate models into workflows
- Guide the team in analyzing large complex datasets to extract actionable insights and present findings to stakeholders, using effective visualization and storytelling techniques
- Review complex code and analyses to ensure accuracy, scalability, and ethical alignment
- Ensure the continuous improvement of data quality and governance processes by collaborating with relevant stakeholders and partners across the organization
- Ensure appropriate use of advanced statistical techniques and manage model lifecycle governance
- Support planning and forecasting for initiatives, ensuring effective resource utilization and alignment with organizational goals
- Coach teams on cutting-edge data science methods and foster a culture of experimentation and curiosity
- Research, evaluate, and integrate new data science technologies and methodologies to enhance the team's capabilities and drive innovation
Requirements
- Bachelor’s degree in related field or equivalent combination of training, education and experience
- College/university degree and 7+ years work experience; 3+ years of management experience
- Strong ability to create an environment that emphasizes data-driven decision-making across an organization, empowering teams to leverage analytical insights effectively
- In-depth knowledge of data science tools and technologies (e.g., Python, R, TensorFlow, SQL) to guide team workflows and methodologies
- Strong presentation and storytelling skills to distill complex models and predictions into understandable insights for diverse audiences, including non-technical stakeholders
- Skill in establishing clear metrics and performance indicators to monitor the effectiveness of data science projects and ensure alignment with business outcomes
- Strong ability to manage multiple teams, ensuring alignment and cohesion in achieving objectives
- Expertise in managing projects from conception to execution, ensuring adherence to timelines and budgets
- Ability to analyze diverse data and identify trends to inform decision-making and strategic planning
- Excellent communication skills, able to convey complex ideas and strategies to various audiences
- Flexibility to adapt strategies and processes in response to evolving business conditions or challenges
- Commitment to fostering team growth through training, feedback, and recognizing achievements
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
- Career growth opportunities
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