Sr. Data Scientist - Customer Lifetime Value Modeling

• Lead initiatives to develop new products and solutions that provide advanced consumer insights and predictive analytics for brands.
• Focus on product development for partnerships, enhancing the capability of brands to understand and engage with their consumers effectively.
• Utilize data mining and statistical analysis to generate insights from consumer profiles, contributing to the Company’s innovative consumer insights platform.
• Leverage third-party data sources, including Shopify, to enhance the breadth and depth of our consumer insights.
• Collaborate with sales and product teams to identify opportunities for growth and innovation in the consumer insights domain.
• Engage in high-stakes presentations, requiring strong presentation skills to convey complex data in a clear and impactful manner., Our expertise spans the entire project lifecycle from assessments and strategy to the architecture, design and development of solutions that allow our clients to grow and operate their businesses more efficiently. We have capabilities across numerous technologies including Business Intelligence, CRM, and ERP systems.

• ETL experience or SQL (needs to be able to move data)
• Customer Lifetime Value Modeling
• Minimum 4 years as a Data Scientist, with at least 8 years of work experience in analytics or consumer insights.
• Demonstrated expertise in manipulating large data sets and building statistical models, with a focus on consumer insights.
• Proficiency in Python, SQL, and experience with third-party data sources like Shopify.
• Strong background in statistical analysis and problem-solving, with a specific focus on product development and consumer behavior insights.
• Excellent written and verbal communication skills, particularly in presentation contexts.
• An entrepreneurial, self-motivated, detail-oriented, and organized approach to work.
• Bachelor’s or higher degree in Computer Science, Engineering, Economics, Mathematics, Statistics, Data Science, or a relevant quantitative field.

About Spartan Technologies

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