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Senior Data Scientist, Data Modeling

Senior Data Scientist, Data Modeling

Affinity SolutionsNew York, NY, United States
21 hours ago
Job type
  • Full-time
Job description

Affinity Solutions (Affinity) is the leading consumer purchase insights company. We provide a complete view of U.S. and U.K. consumer spending, across and between brands, via exclusive access to fully permissioned data from over 140 million debit and credit cards. This data is transformed into privacy-compliant, actionable intelligence for marketers, consultancies, and financial services companies to drive strategic growth and lasting customer relationships. Visit us at www.affinitysolutions.com to discover how we're shaping the future of consumer purchase insights.

About Your Role :

Affinity Solutions seeks a smart, curious, technically savvy Senior Data Scientist to join our Data Science team. The Data Science team at Affinity Solutions builds statistical and machine learning models that help clean, normalize, and transform credit card transaction data from semi-structured into structured form. Then, we build panels, cohorts, balancing, and calibration methodologies to make the data easier to use and power our ad-tech / mar-tech products at scale. In this role, you will be leading our "plug and play data" initiatives to make our data more representative, stable, and easy to use, while also improving cost effectiveness.

Your Responsibilities :

  • Engage in R&D to research, evaluate, and implement new modeling methods and technology, including but not limited to areas of data balancing and projection, cross-sectional analysis, panel / cohort generation, data anonymization, and synthetic data generation
  • Mine large consumer datasets in the cloud environment to support ad hoc business and statistical analysis, identifying consumer category trends and work with specific large retailers on uncovering insights into their customer behavior and inform their strategy against competition
  • Provide analytical / statistical support, such as marketing test design, projection, campaign measurement, and market insights to clients and stakeholders
  • Communicate methodologies and results to management, clients, and other non-technical stakeholders

Your Qualifications :

  • 5+ years of industry experience
  • Advanced degree in Statistics, Mathematics, Computer Science, Economics, or other field that provides advanced training in data modeling and analytics
  • Deep knowledge of the fundamentals of statistical reasoning and data modeling; proven ability to conceptualize business problems and craft sound and practical modeling and analytical solutions
  • Experience in classification, time series and survival modeling, statistical tests, generative AI to solve business problems such as KPI projection and performance measurement, churn analysis, targeting, data perturbation and anonymization, and synthetic data generation
  • Strong software engineering and data engineering experience; solid knowledge and experience with Python and SQL
  • Experience working with cloud data warehouses such as Amazon Redshift and Snowflake, as well as data lakes such as Amazon S3
  • Experience writing production-quality code and building data pipelines on cloud platforms for efficient data processing
  • Background in retail industry, experience working with retail purchase data, and exposure to large consumer and / or demographic data sets are all highly preferred
  • Salary Range : $150,000 - $165,000

    Office Hours : 9am - 5 : 30pm

    Benefits :

    As a full-time member of our team, your benefits will include generous company contributions for medical, dental, and vision. In addition to company-paid holidays, wellness time off, and other wellness benefits, you will also receive company-paid life insurance and the option to enroll in a 401K Plan with employer match. We encourage work / life balance with unlimited vacation days, available after 90 days of employment, as well as employee discounts and professional development opportunities

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    Senior Data Scientist • New York, NY, United States

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