Data scientist Principal

Duties & Responsibilities

• Provides technical guidance and industry knowledge to members of the Data Analytics team
• Responsible for development of analytics product packages as driven by Epicor product roadmap or customer contracts with key a focus on matching the final user experience to a business user case
• Performs research, analysis, and modeling on organizational data and has primary responsibility for the front-end analytics user experience
• Participates in cross functional analytics product teams including DW engineers, ETL software engineers, data sciences engineers, data production staff, aftermarket industry SMEs, and also directly engages customers to orchestrate the final analytics solution
• Investigates and integrates analytics technology and new data sources to keep our analytics solutions current in the fast evolving analytics market space
• Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions
• Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making
• Partners with product operations managers and staff in developing and delivering high analytics availability and performance to meet or exceed customer contract service levels

Knowledge, Skills & Abilities

• Oral and written communication skills
• Problem/situation analysis on the most complex issues
• Ability to identify and seek needed information/research skills
• Analytical thinking skills, statistical knowledge, technical expertise and mathematical skills
• Experience using SQL and/or Python to analyze large datasets
• Advanced knowledge in one or more analytics front end toolsets such as such as Microstrategy, PowerBI, or Tableau
• Background and experience in medium to large IT initiatives leveraging formalized requirements, agile/iterative development methods, and formalized change management processes
• Creative, flexible, and collaborative in approach to technical problem solving and data driven design
• Experience using SQL to analyze large datasets
• Exposure to database modeling and data warehousing principles
• Experience implementing data science routines in R and/or Python
• Experience using data visualization and high-volume BI tools such as Tableau and MicroStrategy

Qualifications

• 9+ years experience and demonstrated success/knowledge in building, deploying, and supporting large scale analytics solutions
• 3+ years of Applied analytics experience
• Bachelor’s degree computer science/statistics or related field (or equivalent experience)

Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs.

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