Senior Data Scientist

Infiniti Research; United States; Remote; USD 80,000 - 110,000; Full time

Job summary

An established industry player is seeking a Data Scientist with a strong background in retail and consumer packaged goods. This role requires a deep understanding of data analysis, machine learning, and geospatial analytics. You will leverage your expertise to analyze sales data, identify trends, and support new store openings. The ideal candidate will possess storytelling skills to effectively communicate complex data insights to non-technical teams. Join a dynamic environment where your contributions will drive impactful business decisions and enhance customer experiences.

Qualifications

• 5-7 years of experience in Analytics, particularly in retail/CPG.
• Strong knowledge of data science tools and methodologies.

Responsibilities

• Analyze sales trends and forecast performance to identify key drivers.
• Conduct category and product analytics for new product launches.

Skills

Data Analysis

Machine Learning

Statistics

Python

R

SQL

Geo-Spatial Analytics

Sales Data Analysis

Storytelling Skills

Tools

Azure Databricks

ArcGIS

QGIS

Power BI

Spotfire

Job description

• Role Description:
• Retail / CPG domain experience is a must have. Quick commerce (optional)
• Prior experience in using datasets such as - Geo data, share of wallet data, demographic data, geospatial analytics
• Candidate who has very specifically worked on projects where new stores / outlets were opened using below skill sets.
• Functional Knowledge Required:
• Category / Product Analytics (Must have): Product Assortment Analysis, identifying trends and patterns in category performance, new product launches
• Geo-Spatial Analytics (Must have): GIS tools (ArcGIS or QGIS), Location-based analysis (spatial matching, trade area analysis), Spatial data visualization
• Customer Analytics (Good to have): Using Loyalty and Customer data for direct marketing campaigns and campaign measurement
• Sales Data Analysis (Must have): Analysing sales trends, forecasting performance and identifying key sales drivers
• Should have strong story telling skills: Ability to explain complex data to non-technical / business teams
• Skills:
• Proven experience as a Data Scientist or similar role.
• Strong knowledge of Data Analysis, Statistics, Machine Learning, Model Evaluation Techniques and Model Interpretation.
• Proficiency in data science tools and programming languages such as Python, R, Azure Databricks, SQL, etc.
• Familiarity with supervised and unsupervised learning techniques, deep learning, reinforcement learning, evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI
• Power BI, Spotfire or other visualization tools (optional)

Years of experience: 5 to 7 years relevant experience in Analytics