Data Scientist

Description

You will support the Sales, Brand and Dealer team as an L6 Data Scientist.

You will lead one or more workstreams in an AI, machine learning or data science product. You will deepen your technical skills under the product's lead scientist while helping shape product decisions and analytical methods.

Responsibilities

• Take assigned AI, machine learning or data science workstreams from method design through to delivery.
• Help generate ideas for, design and build analytical methods and solutions, and weigh in on product decisions.
• Write code that is sound in method, easy to maintain, able to scale and reliable in operation.
• Test new methods, tools and approaches that can extend what the product can do.
• Deliver on schedule while managing risk and keeping methods and operations up to standard.
• Work with data engineering, software delivery, product delivery, business units and other stakeholders to move the product and business goals forward.
• Turn complex technical ideas, tradeoffs, assumptions and risks into clear insights and advice for stakeholders and leaders.
• Present workstream progress, findings and business impact to both technical and business audiences.

Requirements

• 3+ years of work in advanced analytics, AI/ML and/or operations research, building analytical methods into software products.
• A record of using new methods to solve business problems with real business impact.
• Experience across several AI/ML and analytics areas, such as LLMs, forecasting, deep learning, operations research, and prescriptive and predictive methods.
• Strong Python skills and experience with cloud-based data science platforms, plus working SQL. Databricks experience is preferred.
• Experience with generative AI tools such as Cursor, GitHub and/or Microsoft Copilot, Glean and Databricks Genie.
• Strong presentation and communication skills.
• An M.S. or Ph.D. in operations research, engineering, computer science, applied statistics, economics, physics or a related field. Equivalent additional experience may replace the advanced degree.
• Preferred: Experience taking AI, machine learning or data science products from concept to production.
• Preferred: Experience shaping product decisions and methodological direction.
• Preferred: Broad knowledge of modern data science methods, tools and technologies, and a clear drive to keep growing technically.
• Preferred: Experience building solutions that are reliable, maintainable, scalable and ready for operations.
• Preferred: Experience working across multidisciplinary teams that include data engineering, software engineering, product delivery and business stakeholders.
• Preferred: A track record of linking technical work to measurable business impact. Publications, conference talks, patents or other intellectual property, committed open-source work, or other external technical recognition are also preferred.
• Preferred: Experience presenting complex analytical results and technical tradeoffs to senior leaders and varied audiences.

Conditions

The role is hybrid: you are expected to work from a specific location at least 3 times a week, or as often as your manager sets.

The company does not provide immigration sponsorship for this role, now or in the future. Do not apply if you will need company sponsorship, the company as employer of record on a government form, or any work authorization that needs a written submission or other immigration support from the company, such as H-1B, OPT, STEM OPT, CPT, TN or J-1.

The company is committed to equal employment opportunity and to an inclusive workplace free of unlawful discrimination.

Candidates may need to pass a role-related assessment and/or a pre-employment screening before starting.

Benefits

• Well-being support at work and at home is available from your first day.
• Details of the total rewards package are available through the company's Total Rewards resources.