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Ford: 17688 Data Scientist – Connectivity Analytics Supervisor


Intellectual curiosity and ability to mine hidden gems in large sets of structured, semi-structured and unstructured data; ability to use mathematics, statistics, visualization and a healthy sense of exploration.



Ford At: Ford
Location: Dearborn, MI
Web: www.ford.com


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Data Scientist - Connectivity Analytics Supervisor, Job 17688BR

Position Duties:
We are looking for someone with intellectual curiosity, and the ability to mine hidden gems located within large sets of structured, semi-structured and unstructured data and the ability to leverage a heavy dose of mathematics and applied statistics with visualization and a healthy sense of exploration.
  • Strategic Thinking: Able to influence the strategic direction of the company by identifying opportunities in large, rich data sets and creating and implementing data driven strategies that fuel growth including cost savings, revenue and profits.
  • Modeling: Experience with creating ETL processes to source and link data, feature design and selection design and implement statistical / predictive models using edge algorithms on diverse sources of data and testing and validation of models.
  • Analytics: Utilize analytical applications like R to identify trends and relationships between different pieces of data, draw appropriate conclusions and translate analytical findings into business strategies.
  • Visualization: Create visualizations to connect disparate data, find patterns and tell engaging stories. This includes both scientific visualization as well as geographic.
  • Communications and Project Management: Capable of turning dry analysis into an exciting story that influences the direction of the business and communicating with diverse teams to take a project from start to finish. Collaborate with product teams to develop and support our internal data platform and to support ongoing analyses.

 
Minimum Requirements:
  • BS science-based program with an emphasis on data analysis (e.g., Statistics, Computer Science, Mathematics, Physics, etc.)
  • Data storage experience with at least one of the following tools: traditional SQL, NoSQL data stores
  • General-purpose programming experience with at least one of the following tools Java, Python, Ruby on Rails, JSON, Javascript, REST-APIs

 
Preferred Skills/Experience:
  • M.S./ Ph.D. in a science-based program with an emphasis on data analysis (e.g., Statistics, Computer Science, Mathematics, Physics, etc.)
  • Big Data experience with the following tools: Hadoop, MapReduce, PIG, HIVE,
  • Machine Learning experience with the following tools: R, Weka, Mahout, scikit-learn
  • Visualization experience with the following tools: Tableau, Spotfire, ARC Gis
  • Supervisory experience - at least 5 years' experience with data analytics and prior supervisory experience desirable.

 
The distance between imagination and .... Creation. It can be measured in years of innovation, or in moments of brilliance. And, it can be a road you start traveling right now. When you join Ford Motor Company, your journey begins. You become part of a team that is already leading the way, with ingenious solutions and attainable products - and it is always ready to go further.

At Ford Motor Company, the distance between you and an amazing career has never been shorter. Join the Ford team today, and discover the benefits, rewards and development opportunities you'd expect from a diverse global leader.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. Ford Motor Company also is committed to take affirmative action to employ and advance in employment such persons.

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