Senior Manager Machine Learning
Senior Manager Machine Learning
Stellantis
Poissy, France
Description of the mission
The Global Analytics and Data Products Team is looking for a Machine Learning/Data Science expert. As a thought leader within the team, your mission is to put science into decision making. Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to the following responsibilities:
- Serve as the trusted expert charged with evolving our data science roadmap for all software and engineering analytics;
- Develop novel research to qualitatively deduce and draw conclusions from behavioral data to direct influence feature design, business models, UX and customer heuristics;
- Design and implement predictive models and simulations to optimize business decisions and product development;
- Build and design ML systems -- collaborative filtering, reinforcement learning - to power onboard and IOT features;
- Create an experimentation platform and methodology to allow for the agile, but safe, testing of all software features;
- Provide technical leadership and mentorship to data scientists with a wide range of backgrounds;
- Democratize and socialize learning by acting as editor of a centralized learning repository and external blog;
- Understand stakeholder needs and educate partners on the formulation of research questions and methodologies;
- Evangelize our data science practice outside the company to increase visibility, attract data portal customers, and recruit new talent.
Top Performers will be able to:
- Demonstrate successful advocacy, coaching, thought leadership and development opportunities for managers and direct reports;
- Consistently demonstrate the ability to identify and meet the needs of others in their team and across the company;
- Successfully influence non-technical peers and senior leadership to deliver substantive change;
- Measurable consumer engagement impact through analysis, statistical models or products built;
- Measurable revenue impact through analysis, statistical models or products built;
- Measurable consumer experience impact through analysis, statistical models or products built;
- Qualitative and quantitative deductions from experimentation that lead to product optimization;
- Deep product sense, with a solid understanding of user engagement and monetization strategies for Software.
Profile
Basic Qualifications:
- Bachelor's degree with technical focus (e.g. Statistics, Computer Science, Physics, Engineering, etc.);
- 10 years of total experience in analytics/data science;
- Exceptional technical skills with SQL, R/Python for data analysis and experience in ML driven products;
- Demonstrated programming skills either in data science or software development settings a plus;
- Expert at deriving narrative from data and communicate the results effectively;
- Expert in experimentation and causal inference methodologies;
- Comprehensive experience with predictive and prescriptive modeling/machine learning.
Preferred Qualifications:
- Master's degree.
- Be active in the industry, recognized for the application of science within your industry;
- Exemplifies multidimensional skill sets - data science, experimentation, analysis, engineering, etc.;
- Serve as a renowned champion for best practices within the analytics, data, and engineering teams;
- Provide context, not control, remaining highlight aligned but loosely coupled to your team.
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