Shanghai, China, China
2 days ago
Data Scientist
Job 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.

Additional Job 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. 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.

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. 

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

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