Data Scientist
Horizontal Talent

Job Info

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TOP SKILLS:
Ability to build relationships with team and business partners
Work in agile environment

Preferred Experience: 
Marketing and Customer Relationship Management or Channel Development / Network Optimization data science preferred, not required

POSITION SUMMARY:  
The Data Science team works with business leaders across the enterprise to drive optimized strategy using data.  The Data Scientist is responsible for creating recommendations for complex business decisions using predictive analytics. In addition to advanced analytics skills, this role is also proficient at integrating and preparing large, varied datasets, designing and implementing production algorithm scoring, and communicating results.  Your focus will be on the front-end of the business, optimizing decisions related to marketing spend, promotional strategy, dealer inventory, and customer retention, among others.  You are primarily a data scientist but are passionate about developing advanced end-to-end analytics and technology solutions that drive value for our business.

RESPONSIBILITIES:
Develop analytical approaches to strategic business decisions
Extract, cleanse, and combine data from multiple sources and systems
Perform exploratory and targeted analyses, with a wide variety of statistical methods including: cluster, regression, decision tree/random forest, time series, neural network and others
Collaborate cross-functionally to arrive at actionable insights
Synthesize analytic results with business input to drive measurable change
Effectively communicate technical analyses and results to business management
Develop and continually improve multi-source data architecture and analytics procedures, systems, workflows
Contribute to the development of end-to-end data driven solutions
Integrate and productionalize model results into both cloud and edge compute hardware platforms

QUALIFICATIONS:
3+ years of work experience in a predictive analytics-focused role
Masters degree in Applied Statistics/Mathematics, Data or Computer Science, or work experience equivalent
Strong knowledge of statistical methods and predictive/analytical modeling techniques and practices
Experience with data preparation, rationalization, and processing in a cloud environment, Azure a plus
Highly proficient with one or more data mining/predictive modeling tools: SQL, Snowflake, R, Python
Highly proficient with one or more data visualization tools: Tableau, Power BI
Practical understanding of mechanical systems and diverse hardware integration methods both a plus

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