Senior Analyst, Personalization Data Science

Employer Industry: Retail and E-commerce

• Salary up to $205,196 per year
• Opportunity for career advancement and growth within the organization
• Flexibility to work from home anywhere in the United States
• Engage in innovative analytical solutions and work alongside product and engineering teams
• Chance to contribute to the development of cutting‑edge data solutions

• Develop and implement techniques and analytics to transform raw data into meaningful information
• Design and implement innovative analytical solutions in collaboration with product and engineering teams
• Apply data mining, advanced feature engineering techniques, and natural language processing to analyze large datasets
• Evaluate new features and architecture for innovative data solutions
• Build comprehensive analytics views of predictive drivers to forecast growth and perform opportunity sizing

• Master’s degree in Data Science, Engineering, or a related field
• Minimum of 2 years of experience in the position offered, Data Scientist, Intern, or related occupation
• Proficiency in Python, R, SQL, and big data technologies
• Experience with machine learning algorithms, forecasting, and predictive analytics
• Familiarity with A/B testing, deep learning using Tensor Flow and PyTorch, and statistical modeling using Stats models

• Experience with cloud services such as Google or Microsoft
• Skills in optimization algorithms using the Sci Py python package
• Knowledge of data manipulation using Pandas and numerical computations with Num Py
• Proficiency in web scraping using Beautiful Soup
• Experience with association calculations using FP growth and Prefix Span

#Retail #Data Science #Career Opportunity #Remote Work #Analytics

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