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Lead Data Scientist

extra holidays - extra parental leave - fully flexible
Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Master's Degree in Statistics, Data Science or related field, 8+ years of experience with large datasets, 8+ years of experience in statistical programming (preferably Spark, Python), 8+ years of experience with database software (SQL, RedShift, Hive), Experience with cloud-based ML Ops systems and AWS tools is a plus.

Key responsabilities:

  • Analyze automotive industry data daily
  • Create models for production impacting core products
  • Document machine learning processes and visualize findings
  • Collaborate with technology teams to enhance processes
  • Lead quarterly planning for developmental projects
J.D. Power logo
J.D. Power Large https://www.jdpower.com/
501 - 1000 Employees
HQ: Troy
See more J.D. Power offers

Job description

 

Title: Lead Data Scientist

Location: US(Remote)

Reports to: Managing Director, Data Science

 

The Role: 

As part of the Valuation Services division of JD Power, you will work to understand what features drive a vehicle's price and predict future values. Our data science team is accountable for every data point we output and provides industry-leading, accurate, transparent analytics. We are looking for a Data Scientist who will be free to utilize the latest technologies to solve challenging problems, create innovative machine learning processes from the ground up, deploy them into production on our AWS server, and develop the tools for monitoring them. We are a mature and tight-knit data science team looking to add another top-shelf team member ready to make a difference in the automotive industry. Join us!  

 

The Impact:

We make data products and every new data product we output will solve a problem in the auto industry. Every Data Scientist will build models that go into production and directly impact our core products.

About the Job:

  • Daily immersion in automotive industry data
  • Involved in strategic planning and decision-making for data science initiatives.
  • Independently create decks to make highly technical predictions relatable to the automotive industry
  • Documentation of machine learning processes
  • Deep expertise in advanced feature engineering and AI/ML model building.
  • Mastery of SQL, Python/R, Advanced Excel, AWS SageMaker, Palantir Data Science Integrations or other Machine Learning frameworks.
  • Collaborate closely with technology and engineering teams to improve existing processes and build out new ones
  • Work with the product team to develop the analytics that will power new products
  • Leads PI (Program Increment) planning for activities to be conducted in the next quarter, with limited supervision, for major developmental modules or projects.
  • Create visual reports in Tableau for internal and external clients that summarize findings
  • Team environment that encourages the sharing of ideas to build the best predictive algorithms
  • Ad-hoc data analysis and reporting

 

What you Need:

  • Ability to communicate technical processes to a lay audience
  • Presentation experience
  • Curiosity and passion for solving problems with data
  • 8+ years of professional experience working with large datasets
  • 8+ years of professional experience with statistical programming software (Spark, Python preferred)
  • 8+ years of professional experience with database software (RedShift, Hive, SQL, MYSQL)
  • Master’s Degree in Statistics, Data Science, Economics, or a related field

 

Nice to Have:

  • Experience with automotive market data
  • Professional expertise deploying cloud-based ML Ops systems
  • Experience working with AWS tools (Sagemaker, Glue, Batch, Lamdba…)
  • Some shareable examples of data visualizations you have created
  • Experience deploying machine learning models into production with an API
  • PhD in Statistics, Data Science, Economics, or related field

The Career Opportunity: 

Grow as a full-stack data scientist in a medium-sized team. You will pipeline data, build models, deploy them in the cloud, and build monitoring suites.

 

The Way We Work:  

  • Leader Led 
  • Remote First 
  • Foster Flexibility  
  • Reward Performance 
  • Time off Matters 

 

 

Company Mission   

J.D. Power is clear about what we do to ensure our success into the future. We unite industry leading data and insights with world-class technology to solve our clients’ toughest challenges.    

  

Our Values   

At J.D. Power, we strive to be Truth Finders, Change Makers and Team Driven - the distinct behaviors that, together, define our unique culture.    

  

Truth Finders - At J.D. Power, we are proud of the unbiased data and findings we provide. As individuals, each and every member of our team is dedicated to living this same objectivity and embodying the highest ethical and professional standards – the only ‘favorite’ we have is the truth.    

  

Change Makers - At J.D. Power, we never stand still. We constantly seek better ways – innovating and evolving in everything we do to support our colleagues and our clients alike – and all in service of delivering data and insights that drive meaningful business impact.    

  

Team Driven -At J.D. Power, we are one team and we are activated. Regardless of individual role, every member of our team is dedicated to supporting their immediate colleagues and our broader J.D. Power team to deliver on our collective purpose and make us greater than the sum of our parts. At J.D. Power, these values are more than words.

    

J.D. Power is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. 

Should you require accommodations during the recruitment and selection process, please reach out to tarecruitment@jdpa.com.

 

   

To all recruitment agencies: J.D. Power does not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes.   

 

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Marketing & Advertising
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills
  • Problem Solving
  • Microsoft Excel
  • Curiosity

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