Sorry, this listing is no longer accepting applications. Don’t worry, we have more awesome opportunities and internships for you.

Data Scientist, Sr.

Enterprise Solutions Inc

Data Scientist, Sr.

San Francisco, CA
Full Time
Paid
  • Responsibilities

    Job Description

    Senior Data Scientist Product Analytics Bill Rate: $130 - $150 Primary Responsibilities include: Python/SQL programming to create, update, and measure analytical capabilities that support the movement of inventory for Gap Inc. Use of methods from Operations Research, Machine Learning, and Statistics on a day-to-day basis Areas of focus include forecasting product demand, store clustering, price optimization, assortment optimization, inventory optimization Data Analysis: Compile and analyze data from different sources to check completeness and filtering criteria as needed for data science initiatives Data Cleansing: Develop/Edit SQL and Python scripts to pull and clean datasets Data Science: Building advanced data science models Looking for people with: Strong quantitative training in either of Operations Research or Machine learning (or both) Substantial experience in data manipulation Operations/supply chain domain experience Savviness with building and validating models Business acumen and great communication Some experience with measurement a plus, such as A/B testing or back-testing Qualifications: 5+ years related professional experience Proven achievements resulting from data analysis Experiencing building at scale complex and sophisticated Data science or operations research models Degree in operations research, industrial engineering, computer science, applied math, physics, economics, or other quantitative science (graduate degree a plus) Experience with languages used for querying (e.g. SQL/Hive), and statistical analysis (e.g. SAS/R/Matlab/python Proven ability to succeed in both collaborative and independent work environments. Ability to leverage experience to scale and validate models Experience working with business partners to validate the output of analytical models