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 Senior Data Scientist - Cambridge, Massachusetts, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Programming Languages
Computers - Platforms
Computers - Networks
Computers - Software Engineer
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200310221 / Latpro-3839732 
Date posted: Nov-10-2021
State, Zip: Massachusetts, 02139


Senior Data Scientist

Cambridge , Massachusetts , United States

Software and Services


Posted: Nov 8, 2021

Weekly Hours: 40

Role Number: 200310221

We're idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But we reward forward-thinking, creative minds and hard work. And none of us here would have it any other way. Does an exciting, dynamic, and fast-paced environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining our team! The App & Services Engineering team is looking for an outstanding Data Scientist. We seek someone able to focus on modeling pipeline, applied research, and development of innovative components to improve overall experience.

Key Qualifications

  • Superb coding skills and hands-on experience with Big Data
  • Proficient in writing code in one of the following languages: C++, R, Java, Python, Perl, in addition to Hadoop experience (MapReduce, Hive, Spark SQL), and SQL
  • Strong product intuition, data analysis skills, as well as business presentation skills to share your findings
  • Work comfortably with large sets of data using groundbreaking tools
  • Familiar with data structure and algorithms fundamentals and bash scripting for data manipulation
  • Deep understanding of predictive modeling and algorithms for classification, regression, clustering, and anomaly detection
  • Knowledge and experience in implementing and developing machine learning models, data structures and interactive tools to improve product
  • Practical experience solving real-world problems using creative methods and researching state-of-the art
  • Ability to lead and complete modeling efforts from start to finish
  • Above all, we are seeking a phenomenal teammate with excellent interpersonal skills, and a self starter
  • Preferred: Experience working with geospatial & time series data, algorithms and innovative libraries


You will face various tasks and be challenged to solve them. You will be equipped with strong analytical and quantitative skills to take on these of challenges in sophisticated environments. Your creativity and critical thinking skills will be put to good use, deconstructing problems and redefining your insights into data backed recommendations. In this role, you will perform the following: Work with large volumes of data; extract and manipulate large datasets using tools such as Spark SQL, command line and scripting languages. Analyze data covering a wide range of information from user profile to user behavior signals and identify new engagement patterns through data mining Conduct hypothesis driven exploratory analysis, build feature engineering, design the best structure, and select the most appropriate modeling techniques from machine learning models. Design, develop, validate and maintain big data-driven predictive models, tools and pipelines to improve user engagement using latest technologies in machine learning, user pattern recognition, and data modeling based on user lifecycle events. Research and prototype supervised and unsupervised machine learning solutions to a variety of problems using both structured and unstructured data Collaborate with product, engineering, business groups to translate a business question to a data science problem and formulate innovative solutions to experiment and implement sophisticated data mining techniques. Communicate complex concepts and the results of the analyses in a clear and effective manner to senior management. Location: Cambridge, MA. Alternative locations: NYC, NY; San Diego, CA; Vancouver, WA

Education & Experience

Minimum of Masters degree in the field of Computer Science, Statistics, Predictive Analytics, or Applied Mathematics, PhD preferred. Minimum of 3 years of Data Science experience is required.


See job description


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