Data Science Manager, Marketing Applied Sciences Team - General Motors

**Job Description** **The Role** The Data Science Manager in Marketing Applied Sciences, Activation, will lead a talented team of data scientists who will drive solution design, development, and deployment of statistical and AI/ML models to solve complex business problems and improve decision making. The ideal candidate will be an expert in data science, statistical modeling, and machine learning, along with proven leadership skills to inspire innovation and excellence across the team. In addition to being able to coach and mentor the team, this role also requires the candidate to have good business acumen, business consulting skills, strategic thinking, and planning skills. As a leader with a strong technical background, you will lead a team of hands-on data science practitioners who are focused on scaling data science work and accelerating time-to-delivery in personalization/recommendation systems, propensity models, and anomaly detection. You have balance - you can strike the right chord of technical mastery, leadership and coaching, humbly elevating and advocating for your team - with an equilibrium of storytelling, showing influence and strategic focus for peers and leaders of supporting functions, enabling them to drive revenue growth and efficiency. Our team is focused on delivering future-focused, consumer-centric, prescriptive solutions that allow GM to stay proactive and nimble in our exciting transition to EVs. **What You'll Do** + Lead and manage a team of data scientists, providing guidance, coaching, and mentorship to ensure successful project delivery and professional growth + Develop scalable data science solutions that speed time-to-delivery and have significant business value for our Marketing team + Develop and oversee the execution of data science projects from ideation to deployment, ensuring they meet quality, scope, and timeline objectives + Collaborate across the Marketing Applied Sciences team, along with business stakeholders, to identify, frame, develop, and execute high-impact analytics projects successfully + Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team + Foster a culture of collaboration, experimentation, continuous learning, and knowledge sharing within the data science team and broader community + Manage and allocate team resources effectively to support project needs and team growth **Your Skills & Abilities (Required Qualifications)** + 7+ years of experience in Data Science in a corporate setting + 2+ years of experience successfully leading data science technical teams or work + Master's Degree or Ph.D. in Data Science, Statistics, Computer Science, Analytics, Operations Research, Engineering, Economics, Applied Mathematics, Marketing, Physics, or other quantitative field + Strong expertise in statistical modeling, machine learning and/or deep learning techniques, including one or more of the following analytical methodologies: experimentation, personalization/recommendation systems, propensity models, pricing, forecasting, anomaly detection + Proficiency in data science programming languages such as Python or R and data science packages such as numpy, pandas, and TensorFlow + Prior experience with Cloud platforms such as Databricks /Azure or AWS + Experience with data visualization tools and techniques + Proven track record of managing data science projects from concept to implementation, delivering impactful business outcomes + Excellent communication and interpersonal skills, with ability to engage effectively with technical and non-technical stakeholders + Strong business consulting skills; ability to evaluate the big picture and solve strategic business problems + Demonstrated ability to lead, mentor, develop, and evaluate high-performing talent **Additional Job Description** This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. + The salary range for this role is $137,000and $214,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. 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. \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We aspire to be the most inclusive company in the world. 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. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. **Benefits Overview** The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: - Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; - Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; - Company and matching contributions to 401K savings plan to help you save for retirement; - Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; - Tuition assistance and student loan refinancing; - Discount on GM vehicles for you, your family and friends. **Diversity Information** General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. **Equal Employment Opportunity Statements** GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. 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