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Data Scientist
CluztersOps1

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Data Scientist

Job Details

  • Job Posting Type Managed on Cluzters.ai

Company Details

Full Time Job Requirement Details

  • Designation Data Scientist
  • Required Skills R Programming, Python Programming, Statistical Analysis, Machine Learning, Predictive Modeling, Advanced Visualization
  • Position Level Manager Level
  • Years of Experience 7-10 years
  • Indicative Package Range Not Disclosed
  • Domain Expertise Retail
  • Highest Qualification M.C.A, M.B.A, B.E / B.Tech, Any Post Graduation

JOB DESCRIPTION




Key Qualifications:-





  • 5-7 years leading sophisticated data science projects as an individual contributor.

  • Expert knowledge in developing econometric models, frameworks and solutions that help drive decision making and business strategy.

  • Expert level knowledge of applied regression techniques including, but not limited to: Linear, Logistic, Mixed models, Distributed Lags, Time Series, GLM & Simultaneous Equations.

  • Understanding of Experimental design, causal impact and Bayesian techniques to tackle complex business problems.

  • Demonstrated proficiency in synthesizing sophisticated analysis into simple, meaningful and measurable insights for leadership consumption whilst building tools for practical applications.

  • Hands on Python/R experience across both structured and distributed data environments with expertise across machine learning and data science libraries (e.g., scikit-learn, pandas, matplotlib, seaborn, tidyverse, etc.).

  • Excellent written and oral communications skills to prepare, present and explain sophisticated analyses to key partners including senior leadership.









Description:-




The Retail-Online Analytics team is responsible for providing insights and analytical solutions to Digital Marketing and Marcom, Online Merchandising and eCommerce commercial teams, Online Product Management, Retail Real Estate as well as Finance partners.

We are seeking an experienced Data Scientist within the Decision Support COE to drive and execute strategic data science projects for Apple Retail. This role will primarily focus on:

-Developing sophisticated econometric models that help understand efficiency and returns on future investment decisions

- Drive strategic insights by diving deep into the data to uncover trends and patterns that support larger business objectives

- Connect the dots between multiple complex sources of data within Apple to stitch a cohesive story backed by data driven approach

- Proactiveness in exploring complex data, systems, tools whist working collaboratively across teams in driving projects forward

Education & Experience:-

Master’s Degree in Statistics, GIS, Applied Economics, or related disciplines with 5 or more of related work experience





Bachelor’s Degree considered with at least 7+ years of relevant work experience


ABOUT COMPANY

We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.

Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.

Location

Location Information

  • Location: California, USA - Get Directions
  • Formatted Address: California, USA
  • State: California
  • Country: United States