Data Scientist

Skills

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.

Description

We are looking for data science, good business skills, and storytelling to translate complex data analyses into clear, actionable insights for global strategy, research, innovation, and operations projects.
Our team is NOT focused on AWS which is more suitable for IT and cloud implementation
The role requires a Data Scientist with strong experience in data science, analytics, and specifically in working with the Voice of the Customer (VoC) data.

The ideal candidate should be skilled in advanced analytics, sentiment analysis, and customer segmentation. They should also have expertise in using predictive modeling techniques to forecast customer behavior, as well as the ability to automate data analysis processes to support data-driven decision-making. This individual will be integral to unlocking actionable insights from customer feedback, which will drive business strategies and improvements.
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.

Responsibilities

• 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.