Sephora

Senior Analyst, Personalization Data Science

4 days ago

Pay$40.00 / hour
LocationMyrtle Point/Oregon
Employment typeFull-Time
  • Job Description

      Req#: 280379
      Employer Industry: Retail and E-commerce

      Why consider this job opportunity:
      - 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

      What to Expect (Job Responsibilities):
      - 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

      What is Required (Qualifications):
      - 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 TensorFlow and PyTorch, and statistical modeling using Statsmodels

      How to Stand Out (Preferred Qualifications):
      - Experience with cloud services such as Google or Microsoft
      - Skills in optimization algorithms using the SciPy python package
      - Knowledge of data manipulation using Pandas and numerical computations with NumPy
      - Proficiency in web scraping using Beautiful Soup
      - Experience with association calculations using FP growth and Prefix Span

      #Retail #DataScience #CareerOpportunity #RemoteWork #Analytics

      We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
      We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
  • About the company

      Sephora is a French multinational retailer of personal care and beauty products.

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