Appriss Retail

Senior Data Scientist

Appriss Retail

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $140,000 - $160,000 per year

Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonSQLTableau

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. 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.

Requirements

  • 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.