Data Scientist - Product Analytics
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
As a data scientist at Apple youll be instrumental in measuring launch initiatives and unlocking optimization ideas. You will be collaborating with a team of data engineers visualization specialists instrumentation engineers and play a significant role in building data sets and data products that empower you to deliver relevant recommendations. Your primary responsibility will be to drive innovation embrace new technologies and ensure that data science aligns with Apples evolving business needs. Youll present your analysis in multiple forums and also to leadership to optimally communicate your powerful insights and make data-driven recommendations.
- Minimum of 3 years of experience as a Data Scientist or Analyst in commerce payments product or tech environments with a proven track record of optimization
- Understanding of relational databases including SQL and large-scale distributed systems such as Hadoop
- Ability to implement data science pipelines and applications in a programming language such as Python or Scala
- Prior experience in machine learning algorithms such as classification regression clustering and anomaly detection.
- Ability to extract significant business insights from data and identify relevant patterns
- Ability to break down complex data for the senior business executives
- Bachelors degree in a quantitative field (e.g. Computer Science Statistics Economics Engineering) or related quantitative field or relevant professional experience
- Experience in a large-scale e-commerce business.
- Advanced degree or equivalent experience in Applied Econometrics Statistics Machine Learning Analytics Mathematics Operations Research Industrial Engineering or related field.
- Deep understanding of ML algorithm and prior AI development experience.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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