SSM Global COE - Cadillac Data Scientist

Description

Sponsorship : GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.)
NOW OR IN THE FUTURE.

Work Arrangement: This position is categorized as hybrid on NIGHT SHIFT . This means the successful candidate is expected to report to the office three times per week (or other frequency) as dictated by the
business.

The Role
The Global Ops Coe in Manila is a developing team about world class delivery, customer support, driving a disruptive shift in strategy, structure, systems, processes, and technology across the enterprise under GM Sales Services and Marketing (SSM) function.

This SSM Global COE – Cadillac Data Scientist would work as an integral member of the Cadillac Retail Planning team to develop and apply advanced data science solutions that improve retail performance. The resource will lead the end-to-end development, maintenance, and continuous improvement of the Cadillac Sales Forecasting Machine Learning Model to help inform production and incentive decisions. Python, SQL, PBI, Databricks and Tableau skills are critical for this role.

What You’ll Do
The Data Scientist’s role revolves around owning the Cadillac sales forecasting ML model and various PBI/Tableau dashboards for use by the Cadillac HQ and field teams and provide data- driven solutions to drive Cadillac’s retail performance.

Data Science: run Machine Learning models and maintain dashboards. The ML model helps inform Cadillac’s production and incentive decisions and the dashboards provide our HQ and field teams with actionable tools and insights for use by senior leadership or in dealer consultations

Data Modeling & Cleansing: Create consistent, validated data models for tracking operational KPIs, and customer metrics and program forecasting.

Dashboard Development: Design interactive Power BI dashboards for operational tracking/metrics, and leadership executive summary.

Advanced Analytics: Conduct trend, predictive, and segmentation analysis (e.g., which services drive subscription renewals or regional adoption).

Collaborate closely with partners across Cadillac Sales Ops, Marketing, Finance, the Cadillac Field team, and GM IT to achieve shared objectives

Solve complex problems and present expert advice to leadership in a clear and thoughtful way with a focus on actionable solutions that can be understood by a non-technical audience.

Leverage state-of-the art data science and predictive statistical methodologies to enhance retail performance

Enabling scenario planning (what-if analysis): e.g., what if rollout accelerates to X number of vans; what is cost/benefit per region; what subscriber conversion assumptions make the business case viable.

Operational Insights: Identify efficiency opportunities and insights derived from statistical models

This role combines data engineering, analytics, and visualization—ensuring data accuracy, faster insights, and scalable reporting.

Your Skills & Abilities (Required Qualifications)

Bachelor’s degree in a Data Science, Statistics, Computer Science, Mathematics, Economics, or Computer Science preferred (Master’s degree preferred)

8-10 Years in Data Analytics / Data Science or related field

Professional experience using data science techniques to improve business results

Technical proficiency using Python and other analytical programming languages

Strong SQL and Big Data skills and proficiency in data warehouse environments such as Databricks

Data Visualization - Proficiency in Microsoft Power BI/Tableau – building dashboards, data models, and DAX measures.

Data Modeling & Integration- Experience designing data models, relationships, hierarchies, and calculated measures. Knowledge of Dataflows, Azure Synapse, or Dataverse integration (for GM’s enterprise systems) a plus.

Database & Querying - Strong SQL skills; ability to query large datasets from relational databases (e.g., SQL Server, Oracle). Familiarity with Data Bricks a plus.

Data Preparation - Proficient in Power Query (M) and data transformation for reporting accuracy. Experience with Python or R for advanced analytics or predictive modeling a plus

Reporting Automation - Ability to automate refresh schedules, pipelines, and alerts for Power BI reports. Experience with Power Automate and API integrations a plus

Statistical & Analytical Skills - Strong understanding of KPIs, variance analysis, forecasting, and trend detection. Predictive modeling and demand forecasting a plus

Excellent interpersonal skills, as well as excellent communication skills, verbal and written

Proven proficiency in analytical tools such as PBI, Power Automate and Knime

Strong computer software skills, especially Microsoft Office, including familiarity with MS Excel and MS PowerPoint

What Will Give You A Competitive Edge (Preferred Qualifications)

Working knowledge of statistical and machine learning techniques such as regression, time series forecasting, clustering, optimization, etc.

Strong interpersonal skills, including the ability to communicate the business benefits of analytics

Ability to apply multiple solutions to business problems

Ability to quickly comprehend the functions and capabilities of new technologies

Ability to explore, comprehend, and transform raw, unstructured data

Ability to identify areas of opportunity for automation in day-to-day reporting for the

retail incentives team

Ability to think critically, solve problems, make decisions and build trust across the organization

Ability to guide team on multiple tasks and deliver results with aggressive timelines

Demonstrate self-motivation and the ability to grasp concepts quickly

Embrace data driven & customer insights to inform plans, launches, and iterations

Background on emerging technological advancements such as AI

Strong organizational skills with proven track record of efficiently executing complex projects to completion at a high level of quality

Demonstrated high level of interpersonal skills required to effectively collaborate, motivate, and facilitate others in group situations

Desire to work in a complex and evolving environment and to bring an innovation mindset

Comfort working in a fast-paced start-up technology environment is essential

About GM

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Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

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Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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