Data Scientist Special Administration

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Company: Tech Tammina

Location: Warren, MI 48089

Description:

Role: Data Scientist - Special Administration
Location: Warren, MI

Rate: Market

Duration: Long term

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.