Remote Jobs

Senior Analyst, Personalization Data Science


Pay$40.00 / hour
LocationCalifornia
Employment typeFull-Time
  • Job Description

      Req#: 280379
      Employer Industry: Retail and E-commerce (Beauty Industry)

      Why consider this job opportunity:
      - Salary up to $205,196 per year
      - Opportunity for career advancement and growth within the organization
      - Work from home in the United States permitted
      - Engage in innovative analytical solutions alongside product and engineering teams
      - Chance to work with cutting-edge technologies and data science methodologies

      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 advanced feature engineering techniques and natural language processing on large datasets
      - Evaluate new features and architecture to create innovative data solutions
      - Build comprehensive analytics views 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 a Data Scientist position, internship, or related occupation
      - Proficiency in Python, R, SQL, and cloud services such as Google or Microsoft
      - Experience with big data, machine learning algorithms, and predictive analytics
      - Familiarity with deep learning using TensorFlow and PyTorch, as well as statistical modeling using Statsmodels

      How to Stand Out (Preferred Qualifications):
      - Experience with A/B testing and optimization algorithms using SciPy
      - Proficiency in data manipulation using Pandas and numerical computations with NumPy
      - Knowledge of web scraping using Beautiful Soup and association calculations using FP growth and Prefix Span

      #DataScience #Analytics #RemoteWork #CareerGrowth #MachineLearning

      "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

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