Sr Analyst, Data Science

Reposted 17 Hours Ago
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Hyderabad, Telangana, IND
In-Office
Senior level
eCommerce • Fashion
The Role
The Sr Analyst, Data Science will develop software and algorithms for data analysis, build AI models, collaborate on data projects, and provide actionable insights to drive business goals.
Summary Generated by Built In
About the RoleThe Customer Analytics Team at Gap Inc. applies data analysis and machine learning techniques to drive business benefits for Gap Inc. and its brands.  The team’s focus is on creating analytical capabilities to support customer acquisition and retention, personalization and marketing at Gap Inc. Areas of expertise include segmentation, targeting, forecasting, marketing effectiveness measurement and optimizations, customer behaviors, site analytics and business growth initiatives. You will support the team to build and deploy Data and Analytics capabilities, in partnership with GapTech, PDM, Central Marketing & business partners across our brands.What You'll Do
  • Develop software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources

  • Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare data pipelines for various modeling protocols

  • Build, validate, and maintain AI (Machine Learning (ML) /Deep learning) models, diagnose and optimize performance and develop statistical models and analysis for ad hoc business focused analysis

  • Communicate meaningful, actionable insights from large data and metadata sources to stakeholders

  • Responsible for quality of services and advice in meeting business partner needs

  • Responsible for end results of team and shares responsibility over resources, budget and adherence to policies

Who You Are
  • Advanced proficiency in R, Python, Spark, Hive (or other MR), and common scripting languages for E2E pipeline Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments, such as Azure environments

  • Experience with ML and classical predictive techniques such as logistic regression, decision trees, non linear regressions, ANN/CNN, boosted trees, SVM, Tensorflow, visualization packages, and a track record for creating business impact with these methods

  • Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change

  • Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building

  • Ability to assess relatively complex situations and analyze data to make judgments and recommend solutions

Am I A Good Fit?
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The Company
Bristol
11,000 Employees
Year Founded: 1969

What We Do

In 1969, Don and Doris Fisher opened the first Gap store on Ocean Avenue in San Francisco. They wanted to make it easier to find a great pair of jeans, and they did. Their denim and records store was a hit, and it grew to become one of the world’s most iconic brands. Today we’re represented in more than 1400 stores in over 40 countries, and online. We have headquarters in New York, London, Shanghai, Tokyo, and, of course, San Francisco. Our unique aesthetic is optimistic cool, elevated American style. Our clothes are crafted with care, with focused attention to thoughtful design. We believe in staying true to our heritage while creating what’s next. Don and Doris Fisher always wanted to “do more than sell clothes.” They wanted to support the people who ran their company, to be active in their communities, and to have a positive impact on the world. Their vision helped transform retail, and we’re still following their lead. We stand for freedom and possibility for all; we champion diverse ideas that transcend generations, geographies and genders.

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