Head Of Data Science & Analytics - Mobilisights

Exponential growth in adoption and deployment of connected cars and devices is bringing previously unavailable datasets to market – at scale and in real-time. Stellantis, one of the largest global car makers and the parent company of dozens of iconic brands including Jeep, Fiat, Maserati, Peugeots, and more, has created a new Data BU to harness sensor and other data from 10s of millions of connected vehicles as well as that from IoT/connected devices from external sources to build data products and services that can power hundreds of brand-new b2b and b2c applications, services, and decision-making across industries.
Stellantis Data BU is looking for an accomplished and highly experienced Data Science & Analytics leader. As the leader of the team of data analysts and scientists, your mission is to put data into decision making – both for Data BU executives/teams as well as for external customers.
A truly global company, we have headquarters in Amsterdam, Paris, Turin, and Auburn Hills. We also have technology hubs on the east and west coast of the United States, in South America and India. These locations are the nerve center of our company, where the best ideas combine with unrivaled rigor to create the biggest and best automotive experiences in the world.
Responsibilities
Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to the following responsibilities

• In partnership with data engineering, design and optimize data pipelines to support descriptive analytics, data science and ML
• Work closely with partner managers to build data assessment processes and tools to analyze partner data.
• Working closely with business planning & operations team build the internal analytics and OKR/KPI tracking infrastructure and UX including dashboards as well integrations with 3rd party BI and visualization tools.
• Work closely with product management and data engineering to design and develop a new portfolio of differentiated revenue driving ‘insights’ data products and services that provide actionable insights to customers
• Build and design ML systems and develop novel research to build ‘actionable insights’ from sensor data coming from vehicles as well as data from other internal/external sources that can influence a customer’s decision making
• Evangelize our data science practice outside the company to increase visibility, attract data portal customers, and recruit new talent
• Together with product, UX, and data engineering teams build the reporting & analytics infrastructure and UX for customer including integrations with 3rd party BI and visualization tools
• Provide technical leadership and mentorship to data scientists with a wide range of backgrounds

Great mobility solutions start with great people! This is an exciting time to join us!
Stellantis is a leading global mobility player guided by a clear mission: to provide freedom of movement for all through distinctive, appealing, affordable and sustainable mobility solutions. Our Company’s strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our 300,000 people, and our deep roots in the communities in which we operate.
In this new era of mobility, our portfolio of brands is uniquely positioned to offer distinctive and sustainable solutions to meet the evolving needs of customers, as they embrace electrification, connectivity, autonomous driving and shared ownership. Founded by visionaries who infused them with passion and competitive spirit, these brands have made automotive history for more than a century and continue to speak to customers and inspire our employees today.
The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate, and our people live and work.
At Mobilisights, we assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation, and disability.
Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.
EOE/Disability/Veteran
Basic Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or related degree field
• 12 years of total experience in analytics/ data science
• Strong product sense, with a solid understanding of user engagement and monetization strategies for data
• Expert in experimentation and causal inference methodologies
• Expert at deriving narrative from data and communicate the results effectively
• Experience with distributed analytics processing technologies (Spark, Presto, Hive)
• Demonstrated programming skills either in data science or software development settings a plus
• Entrepreneurial spirit and demonstrable experience of starting at ground zero and building sophisticated data science and analytics platforms and products
• Industry/peer recognition for the application of science within your industry a plus
• Comprehensive experience with predictive and prescriptive modeling/ machine learning
• 5 years of hands-on experience building and managing customer facing, preferably revenue driving data products
• 5 years of team building and people management experience and demonstrable leadership skills
• Exceptional technical skills with SQL, R/ Python for data analysis and experience in ML driven products
• Demonstrated ability to create measurable impact on revenue, product adoption, customer engagement

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.
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