C.H Robinson is seeking a Senior Director Data Science to lead the strategic direction and advanced capabilities in the domain of algorithm design and development to cross-functionally support all product initiatives in their 50+ member data science team, solving tough data science problems and overseeing the delivery, implementation, and strategy of impactful solutions.
Requirements
- Masters or graduate degree in a quantitative discipline or bachelor's degree in a quantitative discipline and 2 years of equivalent work experience
- Minimum 10+ years of experience in the field of data science
- Minimum 4 years of leading and managing teams
- Experience in programming & modeling: R and Python
- Experience with Advanced Algorithm & Optimization Techniques
- Proficiency with Linux Operating Systems & Containerization
- Recognized expert in your field of study
Responsibilities
- Drive a philosophy/culture of continual improvement.
- Develop the strategy of how to determine what projects should go through R&D in partnership with other senior leaders.
- Communicate complex data science concepts and findings to non-technical stakeholders in a clear and concise manner, influencing decision-making at all levels of the organization.
- Develop strategic relationships with Senior leaders in the business and service lines to understand multiyear goals and initiatives to help influence and bring data strategies to life
- Provide guidance and mentorship to the data science leadership team, fostering their professional growth and ensuring high-quality deliverables.
- Be the voice of expertise in algorithm design/architecture and data science knowledge and know-how
- Evaluate and understand current & nascent modeling methods in the Data Science space
Other
- Masters or graduate degree in a quantitative discipline or bachelor's degree in a quantitative discipline and 2 years of equivalent work experience
- Minimum 10+ years of experience in the field of data science
- Minimum 4 years of leading and managing teams
- Responsible for annual workforce planning process, including forecasting resource needs, and partners with Talent Acquisition to establish a pipeline, recruit, select, and onboard qualified and diverse talent
- Manages annual merit and equity programs for Data Science function to align compensation with performance results
