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Lead Data Scientist - Job Opportunity at Circana, LLC.

Chicago, United States
Full-time
Senior
Posted: March 12, 2025
Remote
USD 138,715 per year

Benefits

Competitive base salary at industry standard
Remote work flexibility across U.S. locations
Professional development in advanced analytics
Opportunity to work with enterprise-scale retail data

Key Responsibilities

Design and implement sophisticated algorithms for retail and supply chain data analysis
Lead advanced analyses of large-scale retail sales and operations datasets
Create and optimize parameters for complex analytic applications
Collaborate with cross-functional teams including product management and R&D
Drive data-driven solution development for customer business challenges

Requirements

Education

Master's degree in Statistics or Data Analysis

Experience

5 years as Data Scientist

Required Skills

Statistical modeling Data mining Machine learning Retail and supply chain business requirements Regression analysis Algorithm design A/B testing Time series Neural network Programming in Python, R, SQL, Scala, and PySpark Windows and Linux environments Experimental design for statistical analysis
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Sauge AI Market Intelligence

Industry Trends

Retail analytics is experiencing rapid transformation with increased focus on real-time decision making and predictive capabilities Integration of supply chain and retail data analytics is becoming critical for competitive advantage Growing demand for sophisticated time series analysis in retail forecasting Increased adoption of neural networks for complex retail pattern recognition

Salary Evaluation

The offered salary of $138,715 is slightly below market average for senior data science roles in retail analytics, where similar positions typically range from $145,000 to $180,000 in major markets

Role Significance

Typically leads a team of 3-5 data scientists with matrix management of engineering resources
Senior technical leadership position with significant influence on analytical strategy and solution architecture

Key Projects

Enterprise-scale retail analytics platform development Supply chain optimization algorithms Customer behavior prediction models Real-time retail performance analytics

Success Factors

Deep expertise in both statistical modeling and business domain knowledge Ability to translate complex business requirements into algorithmic solutions Strong cross-functional leadership and communication skills Experience with large-scale retail data architecture

Market Demand

Very high demand, particularly in retail analytics sector with projected 25% growth in similar roles over next 2 years

Important Skills

Critical Skills

Advanced statistical modeling expertise essential for developing sophisticated retail analytics solutions Machine learning and neural network experience crucial for predictive modeling Strong Python and distributed computing skills necessary for large-scale data processing

Beneficial Skills

Cloud computing platforms knowledge Deep learning frameworks Retail merchandising knowledge Data visualization expertise

Unique Aspects

Rare opportunity to work with comprehensive retail and supply chain data sets
Combination of statistical expertise with retail domain knowledge
Position influences strategic decision-making for major retail clients

Career Growth

2-3 years in role typically required before advancement to next level

Potential Next Roles

Principal Data Scientist Analytics Director Chief Data Officer Head of Data Science

Company Overview

Circana, LLC.

Circana is a major player in retail analytics and market research, formed from the merger of IRI and NPD

Leading position in retail data analytics with significant market share in consumer behavior analysis
Strong U.S. presence with growing international operations
Technology-driven environment with emphasis on innovation and analytical excellence
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