Data Scientist

Job Description: Title: Data Scientist Location: Remote – Canada Reports to: Director, Data Insights – Product & Technology Vacancy: Existing vacancy 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 run processes to 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 use the latest technologies to solve challenging problems, create innovative 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. The Impact You Will Have in This Role: We make data products and every new data product we output will solve a problem in the auto industry. Every Data Scientist will participate in developing and deploying processes and pipelines that go into production and directly impact our core products. What You’ll Be Doing in This Role: Daily immersion in automotive industry data Development and documentation of multiple critical production processes Maintain and iterate on production algorithms, optimizing ETLs and troubleshooting as necessary to handle changing data and valuation requirements Collaborate closely with technology and engineering teams to build out new processes and improve existing ones Create visual reports in Tableau for data review and validation that will be used by internal and external clients to summarize findings Perform extensive QA on internally developed automotive industry forecasts and the resulting vehicle values Team environment that encourages the sharing of ideas to build the best predictive algorithms Work directly with internal stakeholders to help them understand our predictive products and methodology Create decks to make highly technical predictions relatable to the automotive industry Ad-hoc data analysis and reporting Qualifications of this Role: Curiosity and passion for solving problems with data Great attention to detail and a focus on organization, logic, and data and code quality 2+ years of professional experience working with large datasets 2+ years of professional experience with statistical programming software (Python/Pandas required, Spark preferred) 2+ years of professional experience with database software (SQL, RedShift, Hive, MYSQL) Experience working with AWS tools (S3, Sagemaker, Glue, Lambda…) Ability to communicate technical processes to both peers and a lay audience Master’s Degree in Statistics, Data Science, Economics, or a related field Nice to Have: Experience with automotive market data Expertise deploying CI/CD with cloud-based systems, managing code in Git Experience with Tableau for data visualizations Experience with prompting and implementing generative AI output into workstreams Some shareable examples of production data pipelines, product deployments, or data visualizations you have created Experience deploying machine learning models into production with an API The Hiring Manager says: We want data science candidates who can think through a customer journey and an industry thoroughly, creatively and intuitively to understand, explain, and predict issues that have not yet been resolved (in large part because they are only emerging). We need the capability to leverage the right data sets from an impressive set of data assets and to collaborate with others to plan process improvements, optimizations, and data QA. This position has a starting salary range of $85,000 -$90,000 CAD per year. This is the range we reasonably and in good faith expect to pay for the role at the time of posting. An employee’s pay within the range is determined by a number of factors, including relevant skills, education, qualifications, experience, performance, business or organizational needs, and geographic location. Our Values We POWER Our Customer’s Success We are Innovative, Collaborative and Grounded and in Data We Make Things Easy We Get It Done We Start with Trust & Prove it Everyday JD 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 [email protected]. JD Power does not disclose your personal data to unauthorized third parties. However, as a global corporation consisting of multiple affiliated companies in various countries, JD Power has international sites and JD Power uses resources located throughout the world. JD Power may from time to time also use third parties to act on JD Power’s behalf. You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within JD Power group of companies as well as to third parties acting on JD Power’s behalf, including also transfers to servers and databases outside the country where you provided JD Power with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and in the United States of America. If you are a California or United Kingdom resident, additional disclosures about the information we collect and how we use that information can be found by clicking here. To all recruitment agencies: JD Power does not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. Company Mission Our mission in the market we serve is clear. To power every auto-related decision through proprietary data, advanced analytics, deep industry expertise, and seamless workflows that connect insight to action. Our Values We POWER Our Customer's Success We are Innovative, Collaborative and Grounded in Data We Make Things Easy We Get It Done We Start with Trust & Prove it Everyday JD 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 [email protected]. JD Power does not disclose your personal data to unauthorized third parties. However, as a global corporation consisting of multiple affiliated companies in various countries, JD Power has international sites and JD Power uses resources located throughout the world. JD Power may from time to time also use third parties to act on JD Power’s behalf. You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within JD Power group of companies as well as to third parties acting on JD Power’s behalf, including also transfers to servers and databases outside the country where you provided JD Power with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and in the United States of America. If you are a California or United Kingdom resident, additional disclosures about the information we collect and how we use that information can be found by clicking here. To all recruitment agencies: JD Power does not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes.

The Data Scientist will develop and deploy predictive algorithms and production pipelines to analyze automotive industry data. They will collaborate with engineering teams to optimize ETL processes and create visual reports to communicate findings to stakeholders.

Candidates must have at least 2 years of professional experience with large datasets, statistical programming, and database software. A Master's degree in Statistics, Data Science, Economics, or a related field is required.

• MySQLPreferred
• SQLPreferred
• TableauPreferred
• Data analysisPreferred
• Machine learningPreferred
• Amazon Web ServicesPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Python
• Pandas
• Spark
• SQL
• RedShift
• Hive
• MYSQL
• AWS
• S3
• Sagemaker
• Glue
• Lambda
• Tableau
• Machine Learning
• Data Analysis
• Predictive Modeling
• Database Software
• Statistical Programming
• AWS SageMaker
• Pipelines
• Customer Success Management
• Generative Artificial Intelligence
• CI/CD
• Workflow Management
• Curiosity
• Go (Programming Language)
• Git (Version Control System)
• Advanced Analytics
• AWS Tools
• Application Programming Interface (API)
• Algorithms
• Amazon Web Services
• Automotive Industry
• Communication
• Data Visualization
• Economics
• Forecasting
• Apache Hive
• Innovation
• Python (Programming Language)
• Market Data
• MySQL
• Operational Databases
• Production Process
• Safety Assurance
• Software Quality (SQA/SQC)
• SQL (Programming Language)
• Statistics
• Tableau (Business Intelligence Software)
• Troubleshooting (Problem Solving)

• Data & Analytics
• Technology
• Software
• Science & Research
• Engineering
• Data Scientist
• Generative Artificial Intelligence Engineer
• Software Developers
• Computer and Information Research Scientists

Minimum education

Master’s degree

Minimum experience

2+ years

Posting language

English

Working hours

40 hours per week