About Appriss Retail

Appriss Retail provides real-time decisions and active risk monitoring to enable our customers to maximize profitability while managing risk.  Our solutions are continually adapting to changing market conditions. 

We bring 20+ years of retail data science expertise and experience.  We serve a global base of leading commerce partners, representing 1/3 of all US omnichannel retail sales activity across 150,000 retail locations across specialty, apparel, department store, hard goods, big box, grocery, pharmacy, and hospitality businesses in 45 countries on six continents.

The company provides compelling, relevant, and profitable collective intelligence to operations, finance, marketing, and loss prevention. Appriss Retail’s performance-improvement solutions yield measurable results with significant return on investment.

About the role

We’re seeking a Senior Data Scientist and natural storyteller to work within the Data Science team, serving as a critical link between technical analytics output and client-facing communication. This role is ideal for someone who enjoys exploring data, uncovering insights, and creating clear, compelling narratives around advanced analytics and machine learning model behavior. You’ll be responsible for translating model results, trends, and anomalies into client-friendly presentations, while also working hands-on with data at scale. 

What you'll do

• Analyze consumer data and machine learning model decisions to uncover patterns, trends, and anomalies relevant to client business outcomes. 

• Work with large datasets using SQL to extract, clean, and analyze data to support custom analyses. 

• Build automated analyses using Python and SQL that can be shared internally and feed production reporting endpoints. 

• Partner with the Revenue Organization to create and deliver PowerPoint presentations that effectively communicate insights to non-technical stakeholders. 

• Collaborate with other members of the Data Science team to ensure analysis is technically accurate and aligned with business needs. 

• Translate complex machine learning concepts into understandable business narratives and visualizations. 

• Leverage software development best practices when working with data pipelines, code repositories, and version control. 

Qualifications

• Exceptional communication skills with a strong client-facing presence; able to lead conversations with external stakeholders. 

• Excellent storytelling ability – especially translating data, statistics, and machine learning insights into easy-to-understand narratives. 

• Proficient to excellent at writing SQL queries, especially for large datasets and complex analyses. 

• Proficient to excellent using Python for data analysis and automation. 

• Familiarity with software development principles and working with data/code repositories (e.g., Git). 

• Strong data analysis skills using spreadsheets (e.g., Excel) or BI tools (e.g., Tableau, Power BI, Looker). 

• Proven ability to identify patterns, outliers, and anomalies in data and explain their significance. 

• Good working understanding of machine learning concepts and model behavior interpretation. 

Preferred Qualifications

• Experience with Python or R for advanced analytics tasks. 

• Experience working in cloud environments (e.g., Azure, AWS, GCP), Azure. 

• Familiarity with the retail analytics domain and fraud / risk modeling. 

Benefits

At Appriss Retail, we offer a competitive and comprehensive benefits package designed to support your well-being at work and beyond. Benefits begin on your first day and include multiple medical plan options, dental and vision coverage, health savings and flexible spending accounts, paid parental leave, and supplemental coverage for life’s unexpected moments. We offer generous paid time off, a 401(k) with immediate vesting and company match, short- and long-term disability, and free access to health and wellbeing resources such as Calm and Rocket Lawyer. You’ll also have access to learning and development opportunities to help you grow your career. Our benefits support your well-being so you can perform your best in every part of life.