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Senior Data Scientist

10.00 to 12.00 Years   Hyderabad   25 Feb, 2021
Apple Inc
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryAutomobile / Auto Ancillaries
Functional AreaBio Tech / R&D / Scientist
EmploymentTypeFull-time

Job Description

DescriptionDescriptionYou will play a key role improving the AMP commerce & payments platform. As a member of this team you will help optimize the platform by developing new data products and tuning existing features. A few areas your work will influence include account and payment creation flows, transaction efficiency and authorizations, and subscription management and renewals. Your day to day activities will include: Deep dives in large-scale data to identify key insights that inform product improvements and business strategy. Supervised and unsupervised learning, A/B testing and causal modeling. Define how best to measure and supervise commerce products and features. Engage with business, engineering, product management teams as a partner. Build and maintain positive relationships with key partners across the company to successfully deliver significant insights. Partner with other Apple organizations on data gathering, data governance, democratizing data with reporting tools and evangelizing critical metrics., Key QualificationsKey Qualifications

  • 10+ years of professional experience in a data science or product analytics, preferably in payments or commerce
  • Strong passion for empirical analytics, data mining, and predictive analytics to develop impactful insights.
  • Experience in measuring UX impact, customer engagement, planning and analyzing A/B experiments.
  • Ability to partner with the data engineering and BI teams to provide requirements and to create project roadmaps for consistent data availability, quality, and accessibility.
  • Excellent collaboration and communication skills for communicating sophisticated quantitative analyses in a clear and detailed manner to senior business executives.
  • Be a self-starter, driven, accountable, and a high-energy teammate.
  • Train, mentor and provide critical feedback to junior data scientists to attain team-mandate.
  • TECHNICAL SKILLS
  • Strong hands-on experience in ensuring data operations for large-scale data science and machine learning work.
  • Expert-level SQL skills with the ability to mine both structured/unstructured data. Ability to conceive and execute end-to-end scripted analytics solutions using SQL/TeraData and at least one large-scale data languages such as Scala or PySpark
  • Proven proficiency in data architecture covering scalable schema design, relational and non-relational database technologies, data warehousing principles, modern ETL, aggregation/ projection strategy, code management, and performance optimization.
  • Experience in data visualization tools such as Tableau for dashboard building.
  • Expertise in statistical data analysis for unsupervised & supervised learning algorithms, multivariate techniques and applied regression techniques.
  • Prior experience in working on payment products or large multinational marketplaces/e-commerce businesses.
  • Excellent communication and presentation skills with meticulous attention to detail and ability to communicate optimally between business and analytic teams.

Keyskills :
analyticsdata engineeringdata miningalgorithmsdata architecturedata sciencestatistical data analysissqlmachine learningdata governancereporting toolsoracle dbadata warehousingdata analysisab testing

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