Job Title: Sr. Manager, Data Science

Location: Greater Chicago, IL (hybrid)

Our client is a global leader in access solutions, dedicated to creating innovative and secure technologies that enhance lives. They are committed to fostering a culture of innovation, collaboration, and excellence, making us an ideal place for forward-thinking professionals to thrive.

Job Summary

We are seeking a Sr. Manager, Data Science to join our IT Advanced Analytics and Data team. The ideal candidate is a hands-on leader who will collaborate with business partners to leverage innovative data science techniques, transforming key business opportunities into measurable success. This role involves leading and mentoring a team of data scientists to develop and deploy impactful data-driven solutions.

Key Responsibilities

• Build relationships with business leaders to align data science initiatives with strategic goals.
• Lead, manage, and mentor a team of data scientists, including recruitment and onboarding.
• Develop and execute data science methodologies and best practices.
• Spearhead technical engagements with senior leaders and key business units.
• Advocate for and drive the adoption of advanced analytics across the organization.
• Educate stakeholders on data science applications and insights.
• Develop, implement, and manage predictive and prescriptive analytics models.
• Collaborate with cross-functional teams to integrate analytics into business operations.
• Identify and manage external data science partnerships and vendors.
• Ensure compliance with company policies, data privacy standards, and best practices.
  
  

Requirements

• Education: Master’s degree in Data Science, Statistics, Mathematics, Econometrics, Engineering, or a related quantitative field.
• Experience: 8+ years of relevant experience, including at least 2 years managing data scientists.
• Skills:
• Expertise in statistical modeling, forecasting, and machine learning techniques.
• Strong ability to translate business problems into actionable data science solutions.
• Experience with Python, R, SQL, and data science tools (e.g., Databricks).
• Cloud computing experience, preferably in Azure.
• Excellent problem-solving, communication, and leadership skills.
  

Preferred Qualifications

• PhD in a related field.
• Experience leading end-to-end data science projects within Agile frameworks.
• Background in analytical consulting.