Lead Data Scientist
Remote United States
J.D. Power
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.
- Expert in 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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Data analysis Economics Engineering Excel Feature engineering Machine Learning ML models MySQL PhD Python R Redshift SageMaker Spark SQL Statistics Tableau
Perks/benefits: Team events
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.