Strategic Data Science Lead
Cox EnterprisesAbout the role
Company
Cox Automotive - USAJob Family Group
Data Intelligence & ScienceJob Profile
Lead Data ScientistManagement Level
Manager - Non People LeaderFlexible Work Option
Hybrid - Ability to work remotely part of the weekTravel %
Yes, 5% of the timeWork Shift
DayCompensation
Compensation includes a base salary of $117,300.00 - $195,500.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.Job Description
The Strategic Data Science Lead will be responsible for driving innovative initiatives and strategic planning for the organization through data-driven approaches and the application of data science methodologies.
What You’ll Do
Responsibilities
Data Collection and Preprocessing
- Identify data gaps that need to be closed to support go-to-market strategies
- Gather customer and market data from various sources
- Integrate and preprocess data for analysis
Exploratory Data Analysis
- Conduct competitive landscape analysis to understand industry trends and potential disruptors
- Assess the organization's internal capabilities, resources, and areas for improvement
- Perform exploratory data analysis to identify patterns and insights
Ideation and Feasibility Analysis
- Develop a list of ideas and potential experiments based on data insights
- Build a business case and quantify the value proposition for each idea
- Conduct feasibility analysis and experiments to determine what will or won't work
Model Development and Deployment
- Development of AI/ML Models and Proof of Concepts to support Strategic Initiatives
- Collaborate with cross-functional teams to build an AI/ML strategy for the organization
- Leverage technical expertise in AI/ML to advise on potential use cases and implementation
Strategic Planning and Decision Support
- Perform financial and risk analysis for proposed strategic initiatives
- Develop scenario plans and contingency strategies to address potential challenges
- Gather customer and market insights to identify growth opportunities
- Engage key stakeholders to align on strategic priorities and secure buy-in
- Create a detailed implementation plan with clear milestones and change management strategies
Stakeholder Engagement and Initiative Coordination
- Collaborate effectively with cross-functional teams and key stakeholders across the organization
- Provide regular reports and presentations to update on project progress, findings, and recommendations
- Coordinate and drive data science initiatives, ensuring alignment with organizational goals and timely delivery
Who You Are
Minimum
Data Collection and Preprocessing
- Identify data gaps that need to be closed to support go-to-market strategies
- Gather customer and market data from various sources
- Integrate and preprocess data for analysis
Exploratory Data Analysis
- Conduct competitive landscape analysis to understand industry trends and potential disruptors
- Assess the organization's internal capabilities, resources, and areas for improvement
- Perform exploratory data analysis to identify patterns and insights
Ideation and Feasibility Analysis
- Develop a list of ideas and potential experiments based on data insights
- Build a business case and quantify the value proposition for each idea
- Conduct feasibility analysis and experiments to determine what will or won't work
Model Development and Deployment
- Development of AI/ML Models and Proof of Concepts to support Strategic Initiatives
- Collaborate with cross-functional teams to build an AI/ML strategy for the organization
- Leverage technical expertise in AI/ML to advise on potential use cases and implementation
Stra
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