Manager II, Data Science – HR Analytics

Role Overview

• 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

Tech Stack

• Python
• SQL
• Tensorflow

Benefits

• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Professional development opportunities
• Career growth opportunities