Principal Data Scientist

Posted 2 Days Ago
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Pune, Maharashtra
Senior level
Automotive • Retail
The Role
The Principal Data Scientist will define and share the data vision, address complex data questions, innovate by implementing technologies, and manage external partnerships to create value for the company. The role involves building strategic algorithms, extracting insights from big data, and evolving target information systems to enhance data quality.
Summary Generated by Built In

Principal Data Scientist

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KEY EXPECTED ACHIEVEMENTS

  • The data métier vision is defined and shared

  • Complex and strategic data topics/questions are addressed and create more value.

  • Evolutions of the  métier (technologies, norms, competencies …) are anticipated  and knowledge passed throughout the company  (training, network management and influence).

Management of expertise

  • Deliver high-level expertise in the necessary fields and help to solve complex or strategic problems more quickly and appropriately.

  • Manage and transmit knowledge and know-how.

  • Anticipate the impact of external changes (technology, standards, social behaviors, competencies needs, etc.) on the Company.

  • Innovate and/or identify new scopes by implementing existing technologies on the market or through methodological approaches (marketing, supply chain, manufacturing, RDI, etc.).

  • Be the ad-hoc contact person for specialized external partners or service providers to propose relevant analyses and create value for the Company.

Strategy et Big Data Management

  • Provides a vision and/or scenarios in the field or elsewhere to influence the company's ambitions by ensuring that the top management understands the idea, technology, concept, tool, recognizes the benefit, and puts it in perspective in relation to the business.

  • Positions his/her field's areas of focus in relation to those in other fields/métiers to bring them into line with the company's areas of focus.

  • Build complex or strategic algorythms including predictive models

  • Advises new technologies (statistics, text mining, behavioural, geolocation, etc.) for extracting and analysing information, to obtain more value from datasets (Big Data)

  • Builds mathematics, statistics or specialized software tools to extract and analyze data and designs datamarts and even data warehouses (data warehouses).

  • Guarantees the development of skills in extracting, modeling, analyzing and visualizing data

  • Evolves  target information systems to increase data quality and richness

  • Promotes new models or calculation methods and anticipates pros and cons according to a specific environment.

Market Watch

  • Benchmarks other companies and stays aware of the latest trends and new technologies around big data

  • Ensures the sharing of good practices (internally and externally)

Top Skills

Data Analysis
Geolocation
Predictive Modeling
Statistics
The Company
HQ: Greenville, SC
111,200 Employees
On-site Workplace
Year Founded: 1889

What We Do

Michelin, the leading tire company, is dedicated to sustainably improving the mobility of goods and people by manufacturing and marketing tires and services for every type of vehicle, including airplanes, automobiles, bicycles/motorcycles, earthmovers, farm equipment and trucks.
It also offers digital mobility support services and publishes travel guides, hotel and restaurant guides, maps and road atlases.

Headquartered in Clermont-Ferrand, France, Michelin is present in more than 170 countries, has 111,200 employees and operates 67 production plants in 17 different countries.
Michelin has a Technology Center in charge of research and development, with operations in Europe, North America and Asia.

In short, whether you look at our mission, our products or our people, Michelin is a company that truly helps you to move forward....

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