5-7 years of experience in analytics or consumer insights, with 4+ years specifically as a Data Scientist.
Strong expertise in Customer Lifetime Value modeling.
Proficient in SQL and ETL processes for data management.
Experience manipulating large data sets and building statistical models.
Skilled in Python programming and familiar with third-party data sources such as Shopify.
Excellent presentation and communication skills for conveying complex insights.
Responsibilities
Lead product development initiatives focused on consumer insights and predictive analytics.
Enhance brand capabilities by developing solutions for effective consumer engagement.
Utilize data mining and statistical analysis to derive insights from consumer profiles.
Leverage third-party data to enrich the consumer insights platform.
Collaborate with cross-functional teams to identify growth opportunities in consumer insights.
Deliver high-stakes presentations that clearly convey complex data.
Benefits
Hybrid or Remote working options.
Full-time direct hire opportunity.
Competitive salary with bonus plan.
Work in a dynamic and innovative environment focused on consumer insights.
Full Job Description
We have an immediate need for a Senior Data Scientist with Customer Lifetime value modeling and can function without the aid of a BI team to get their data. This position is located in New York (Hybrid or Remote). This is a full-time / direct hire opportunity with a competitive salary and bonus plan. You must be a US Citizen or Green Card holder to be considered. No sponsorship or visa transfers are available for this role.
What You'll Do
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.
What You Need
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.
