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Data Scientist

AT General Motors
General Motors

Data Scientist

Shanghai, China

Description

Work Arrangement

  • This role requires an employee to be onsite on a full time basis.

The Role

We are seeking a highly skilled Data Scientist to amplify our data analytics initiatives. The ideal candidate will have extensive experience in handling complex business data, conducting insightful performance reviews, and generating comprehensive reports that drive strategic decisions. A knack for building innovative data products is highly desirable.

What You'll Do

  • Analyze and interpret complex sales and marketing data to identify trends, patterns, and opportunities, translating findings into actionable business insights.
  • Conduct thorough evaluations of business performance metrics and provide recommendations to enhance sales strategies and processes.
  • Develop dynamic dashboards and reports for stakeholders using advanced visualization tools, ensuring clarity and accessibility of information across departments.
  • Collaborate with cross-functional teams to design and implement cutting-edge data products, driving innovation by leveraging the latest data science methodologies.
  • Maintain the highest standards of data accuracy and integrity, implementing best practices for data governance and security.
  • Present analytical findings to senior management in a clear and compelling manner, acting as a trusted advisor on data-driven decision-making.
  • Stay abreast of industry trends and emerging technologies in data science, incorporating new tools and techniques to enhance analytical capabilities.
  • Work independently and collaboratively within diverse teams, demonstrating strong organizational, communication, and problem-solving skills.

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Additional Description

Your Skills & Abilities (Required Qualifications)

  • Educational Background: Bachelor's or Master's degree in Data Science, Statistics, Economics or a related field.
  • Experience: Minimum of 5 years of industry experience as a Data Scientist; experience in the automotive sector is a plus.
  • Technical Proficiency: Strong programming skills in Python/R, and SQL; experience with data visualization tools like Tableau or Power BI; familiarity with machine learning frameworks and statistical modeling.
  • Product Development Skills: Demonstrated ability to build and deploy data products and analytical solutions that drive business value.
  • Soft Skills: Exceptional organizational and time-management abilities; excellent communication and presentation skills; strategic thinker with a proactive approach to problem-solving.
  • Team Collaboration: Ability to work effectively both independently and within diverse teams; strong interpersonal skills to liaise effectively with various stakeholders.
  • Adaptability: Eagerness to learn and adapt to new technologies and methodologies in a fast-paced environment.
  • Attention to Detail: A meticulous approach to ensuring data accuracy and delivering high-quality analytical outputs.

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. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Diversity Information

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 workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. 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

Equal Employment Opportunity Statement (U.S.)

General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Accommodations (U.S. and Canada)

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Client-provided location(s): Shanghai, China
Job ID: General_Motors-JR-202421669
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • HSA With Employer Contribution
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Happy Hours
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Performance Bonus
    • Relocation Assistance
    • Stock Purchase Program
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Woman founded/led
    • Employee Resource Groups (ERG)

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