Head of Data Science & Applied Machine Learning job

AppleCupertino, CA
Apple jobs

Company

Salary

Skills

Job Description

Head of Data Science & Applied Machine Learning Santa Clara Valley (Cupertino), California, United States Software and Services + You have expert level knowledge of applied regression techniques including, but not limited to: Linear, Logistic, Mixed models, Distributed Lags, Time Series, General Linear Models & Simultaneous Equations. You will also have experience in the use of Neural Network models for sales forecasting and GAM models. + You are also an expert in application of Multivariate techniques like - Random Coefficient models, Canonical Discriminant models, Exploratory and Confirmatory Factor Analysis, Canonical Correlations. + Conceive and coach the design of end to end scripted analytics solutions using SAS, SQL/TeraData as well as modern analytical systems in Spark + Hadoop with Python or R. + Expertise in statistical data analysis and mathematical physics methodologies for unsupervised & supervised learning algorithms. Expertise in a wide variety of techniques including neural nets, deep neural nets, boosted trees, support vector machines. Algorithm development in graph mining and social network analysis also highly desired. + Demonstrated mastery of all aspects of the data pipeline including data storage systems (both relational and noSQL), modern ETL, aggregation/projection strategy, SDLC in a data engineering, and performance optimization **Description** - You are a top-tier data scientist with 10+ years of experience in forming teams, organizing analytical processes and workflows, and mentoring junior team members - You are a hands-on leader who can develop high performing teams to meet the needs of a highly dynamic and complex business. - You have a passion for applied empirical analytics and answering hard questions with data, and the demonstrated ability to conceptualize, promote and implement business insights - You will have the ability to use advanced machine learning techniques for driving highly applied analyses and tools to directly drive revenue. - Have a strong passion for conceptualizing, documenting and deploying complex analytical plans to take on business problems. - Confirmed collaboration, communication and story telling skills with ability to adapt and connect across a variety of audiences. This includes strong writing, and data visualization skills with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to senior executives. - Partner with senior leaders across the three focus areas to understand business goals, consult on data strategies and produce repeatable outcomes - Handle econometric analytics projects through all phases, including data quality, data modeling, statistical analysis, data visualization and presentation of results and deliverables. - Leading ongoing and ad-hoc analyses and predictive analytics to provide leadership with actionable insights at tactical and strategic levels. - Partner with the data engineering and BI team to Run workflows, requirements and project roadmap with Apple's IT organization to ensure consistent data availability, data quality and data accessibility for your projects. - Be a self-starter, driven, accountable and a highly high-energy leader. - Background in payments and/or physical retailing/merchandising analytics experience highly preferred. **Education & Experience** Advanced degree in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field. Ph.D is highly preferred. **Additional Requirements** **Apple Footer** Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf (Opens in a new window) at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. at https://www.dol.gov/ofccp/PayTransparencyNondiscrimination.html Learn more at https://www.dol.gov/ofccp/PayTransparencyNondiscrimination.html (Opens in a new window) at https://www.dol.gov/ofccp/PayTransparencyNondiscrimination.html . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance at https://sfgov.org/olse/sites/default/files/Document/FCO%20Poster%20Set%20All%20Languages%2010%2001%2018.pdf guidelines at https://sfgov.org/olse/sites/default/files/Document/FCO%20Poster%20Set%20All%20Languages%2010%2001%2018.pdf (opens in a new window) at https://sfgov.org/olse/sites/default/files/Document/FCO%20Poster%20Set%20All%20Languages%2010%2001%2018.pdf applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program at https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf (Opens in a new window) at https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy at https://www.apple.com/jobs/us/accommodation_drugfree.html Learn more at https://www.apple.com/jobs/us/accommodation_drugfree.html (Opens in a new window) at https://www.apple.com/jobs/us/accommodation_drugfree.html .
Estimated annual salary
$158,617
average
Minimum
$140,212
Maximum
$174,546

TASKS

  • Develop and interpret organizational goals, policies, and procedures.
  • Analyze problems to develop solutions involving computer hardware and software.
  • Assign or schedule tasks to meet work priorities and goals.
  • Evaluate project plans and proposals to assess feasibility issues.

SKILLS

  • Reading ComprehensionUnderstanding written sentences and paragraphs in work related documents.
  • Active ListeningGiving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
  • WritingCommunicating effectively in writing as appropriate for the needs of the audience.
  • SpeakingTalking to others to convey information effectively.

KNOWLEDGE

  • Administration and ManagementKnowledge of business and management principles involved in strategic planning, resource allocation, human resources modeling, leadership technique, production methods, and coordination of people and resources.
  • ClericalKnowledge of administrative and clerical procedures and systems such as word processing, managing files and records, stenography and transcription, designing forms, and other office procedures and terminology.
  • Economics and AccountingKnowledge of economic and accounting principles and practices, the financial markets, banking and the analysis and reporting of financial data.
  • Sales and MarketingKnowledge of principles and methods for showing, promoting, and selling products or services. This includes marketing strategy and tactics, product demonstration, sales techniques, and sales control systems.

Apple

Type

Company - Public (AAPL)

Size

10000+ employees

Revenue

Over $10B

Location

Cupertino, CA

Industry

Information Technology

Founded

1976

CEO

Tim Cook

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