Data Scientist

About Perry Ellis International

Perry Ellis International, Inc. is a leading designer, distributor and licensor of a broad line of high quality men's and women's apparel, accessories and fragrances. The company's collection of dress and casual shirts, golf sportswear, sweaters, dress pants, casual pants and shorts, jeans wear, active wear, dresses and men's and women's swimwear is available through all major levels of retail distribution. The company, through its wholly owned subsidiaries, owns a portfolio of nationally and internationally recognized brands, including: Perry Ellis, An Original Penguin by Munsingwear, Laundry by Shelli Segal, Rafaella, Cubavera, Ben Hogan, Savane, Grand Slam, John Henry, Manhattan, Axist and Farah. The company enhances its roster of brands by licensing trademarks from third parties, including: Nike for swimwear, and Callaway, PGA TOUR and Jack Nicklaus for golf apparel. Additional information on the company is available at

Summary

The Data Science Analyst will play a crucial role in driving data-driven decision-making at our wholesale and direct-to-consumer (DTC) business which also includes licensing. This individual will be responsible for collecting, analyzing, and interpreting data to uncover insights that will help optimize our supply chain operations and improve overall business performance.

Duties And Responsibilities

• Data Analysis: Utilize statistical techniques and data mining tools to analyze large datasets within Snowflake and identify trends, patterns, and correlations.
• Business Intelligence: Support strategic decision-making by providing data-driven insights into customer behavior, market trends, and financial performance using Snowflake and Business Objects.
• Data Visualization: Create clear and effective visualizations (e.g., charts, graphs) using Business Objects to communicate findings to both technical and non-technical audiences.
• Collaboration: Work closely with cross-functional teams (e.g., sales, marketing, operations) to understand their data needs and provide relevant analysis.
• Supply Chain Optimization: Analyze supply chain data using Snowflake to identify areas for improvement, such as inventory management, order fulfillment, and procurement.
• Customer and Marketing Analytics: Conduct market basket analysis, RFM analysis, customer LTV prediction, customer churn prediction, order fill rate prediction, e-commerce marketing analysis, acquisition and conversion analysis to optimize customer retention, acquisition, and overall business performance.
• Data Collection and Cleaning: Gather data from various sources, including our ERP system, CRM, and other relevant systems. Clean and prepare data for analysis, ensuring accuracy and consistency within our Snowflake data platform.
• Model Development and Evaluation: Develop, train, and evaluate statistical and machine learning models using appropriate algorithms. Conduct feature engineering to optimize model performance and ensure model explainability to foster trust in decision-making. Demonstrate familiarity with various machine learning algorithms.
• AI/ML Integration: Leverage Snowflake's capabilities to integrate AI/ML models into data analysis workflows, such as predictive modeling and anomaly detection.
• Generative AI Exploration: Demonstrate knowledge and interest in exploring the potential of LLMs like Google Vertex AI and Snowflake Cortex AI to enhance data analysis and insights.

Skills, Knowledge, And Abilities

• Technical Skills:
• Proficiency in data analysis tools (e.g., SQL, Python, R)
• Experience with databases like Oracle, SQL*Server, MYSQL & Snowflake
• Expertise in working with Snowflake data platform
• Knowledge of data visualization tools (e.g., Business Objects)
• Familiarity with statistical concepts and methods
• Understanding of AI/ML principles and applications
• Experience with model building, feature engineering, and model training techniques
• Knowledge of various machine learning algorithms
• Analytical Skills:
• Strong problem-solving and analytical thinking abilities
• Ability to identify patterns and trends in data
• Communication Skills:
• Excellent written and verbal communication skills
• Ability to explain complex data concepts to non-technical audiences
• Business Acumen:
• Understand the intricacies of wholesale, retail, and e-commerce operations, including supply chain management, financial metrics, customer behavior, and industry regulations.
• Attention to Detail:
• Meticulous approach to data accuracy and quality

Minimum Requirements

• Bachelor's degree in a quantitative field such as statistics, mathematics, economics, or computer science.
• 2-3 years of experience in a data analysis role, preferably within a supply chain or logistics environment.
• Demonstrated ability to work independently and as part of a team.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Experience working with Snowflake data platform.
• Knowledge of Business Objects or similar reporting tools.
• Familiarity with AI/ML concepts and their applications in data analysis.
• Experience with model building, feature engineering, and model training techniques.
• Knowledge of various machine learning algorithms.
• Knowledge of Generative AI using LLM.
• Understanding of data warehouse concepts, including dimensional modeling, ETL processes, and performance optimization.
• Experience in conducting market basket analysis, RFM analysis, customer LTV prediction, customer churn prediction, order fill rate prediction, e-commerce marketing analysis, acquisition analysis, conversion analysis, whitespace analysis and statistical modeling.

Legal Disclaimer

Perry Ellis International is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other legally protected status. All qualified applicants will receive consideration for employment without regard to their individual background and characteristics. We are committed to providing a workplace free of any discrimination or harassment. This commitment extends to all aspects of employment, including hiring, promotion, transfer, compensation, and termination. By submitting your application, you acknowledge and agree to the company's commitment to equal employment opportunities.

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