Data Scientist Hybrid Apply
We have urgent requirement of Data Scientist | Hybrid. Please revert if you are interested to apply.
Job Title: Data Scientist Special Administration
Work Location: Warren, MI ( Hybrid ) with traditional office schedule with Tuesday-Thursday in office required
Candidate Location: Michigan local candidates preferred
Job Description
We are seeking a highly skilled and motivated Data Scientist to join the Cadillac Strategic Innovation and Analytics Team. In this role, you will be integral to developing data-driven solutions that enhance business results and support the growth of retail strategy. With 4+ years of experience, a strong technical skill set, and exceptional communication abilities, you will collaborate effectively with cross-functional teams, including Cadillac Sales Operations and leadership, to analyze complex data sets, build predictive models, and deliver actionable insights.
Key Responsibilities
- Maintain Demand Forecasting Models: Enhance and maintain machine learning models used for demand forecasting, ensuring the latest projections are shared with Cadillac leadership.
- Voice of the Customer (VoC) Experience: Leverage VoC data to understand customer needs, analyze feedback, and incorporate these insights into retail strategy and decision-making.
- Incentive Tactics Analysis: Manage and improve the Offer Intelligence Python program that aggregates data to provide insights into various incentive tactics.
- Tableau Dashboard Management: Regularly update and maintain Tableau dashboards to ensure key data is easily accessible for decision-making.
- Ad-hoc Reporting: Address ad-hoc analysis requests, providing valuable insights and actionable recommendations to support strategic initiatives.
- Cross-functional Collaboration: Work closely with various teams within Cadillac Sales Operations and across GM to gather requirements, solve problems, and present findings in a clear and effective manner.
- Insights & Strategic Direction: Drive valuable data insights, identifying opportunities to optimize retail strategy and improve business performance.
Required Skills and Qualifications
- 4+ years of experience using data to solve problems, create visualizations, and build predictive models.
- Python is a MUST: Expertise in Python is essential for maintaining machine learning models, developing automation processes, and analyzing large datasets.
- Proficiency in Tableau and other data visualization tools to create actionable insights and reports.
- Strong experience with SQL and data architecture.
- Advanced analytical skills with a deep understanding of Big Data technologies such as Hadoop/Hive/Spark.
- Exceptional communication and presentation skills, with the ability to effectively present complex data to both technical and non-technical stakeholders.
- Bachelor's or Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
Key Attributes for Success
- Analytical Mindset: Ability to approach business challenges with data-driven solutions and provide impactful recommendations.
- Collaboration: Strong team player who thrives in cross-functional environments and is capable of working closely with multiple departments.
- Independence: Comfortable exploring data and pursuing insights autonomously while maintaining alignment with organizational goals.
- Adaptability: Willingness to respond to the evolving needs of the business and adjust solutions as required.
Thanks & Regards
Avnish Rao
Technical Recruiter
321-335-1706