Job Location: Bangalore
Summary
Posted: Apr 6, 2022
Weekly Hours: 40
Role Number:200362939
The people here at Apple donโt just build products โ they build the kind of wonder thatโs revolutionized entire industries. Itโs the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imagine what you could do here! The AppleCare Digital team is looking for an outstanding data engineer who is interested in designing, developing and identifying data mining solutions that have direct and measurable impact to AppleCareโs digital operations. AppleCare has a tremendous amount of data, and we have just begun the exploration of data in the areas of NLP, pattern detection, predictive modelling and optimization. T he person in this position will work with various digital business managers to help identify viable analytical opportunities and then implement an end to end analytical solution. The role requires both a broad knowledge of existing data mining algorithms and creativity to invent and customize when necessary. The job is located in Bangalore, India
Key Qualifications
- 5+ years of experience in a Data Engineering role with experience working in a global analytics team.
- Expertise in recommending BI/Analytics solutions to partners.
- Proficiency with SQL for data analysis; ability to write queries and understanding of database concepts.
- Experience designing scalable data pipeline with data transformations & aggregations for reporting and analytics use cases.
- Working knowledge on visualization tools like Tableau.
- Experience with programming languages like Python & Shell.
- Strong analytical problem solving skills and a curiosity about learning quickly.
- Outstanding communication, collaboration & presentation skills
- Knowledge about machine learning algorithms, statistical concepts is a plus
Description
Develop and maintain clear, concise reporting on KPIs measuring digital performance. Analyze data to identify patterns and correlations among the various data points. Engage with business functions and data scientists to build an analytics roadmap for each of the functions. Design, create and deliver data reports, dashboards, extract and/or deliver presentations to strategic questions.
Education & Experience
Ph.D. in Data Science, Machine Learning, Statistics, Operations Research or related field or B.Tech/M.Tech/M.S. in related field with 5+ years experience applying machine learning techniques to real business problems
Additional Requirements
- Bachelors or masters in the field of โ Computer Science, Mathematics, Operations Research, Statistics, Econometrics, Management Science and related fields.
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