ML Data Scientist - Business Analytics jobs in United States
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Apple · 1 day ago

ML Data Scientist - Business Analytics

Apple is focused on enhancing customer experiences through its advertising solutions. The ML Data Scientist will develop analytical solutions to drive business decisions and improve user experiences by turning data into actionable insights.

AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Turning the huge amounts of data generated by user searches, app content, and App Store context into business insights that improve the customer experience for the end-user as well as drive discovery and efficiency for app developers
Support Product, Engineering, and the Executive Team with analyses, and data products to improve product performance, deepen customer insight and deliver business impact

Qualification

Data ScienceMachine LearningStatistical AnalysisPythonSQLData VisualizationCausal InferencePandasRSparkTableauScikitLearnSparkMLLibSciPyStatsModelsHadoopSnowflakeAirflow

Required

3+ years of recent experience in a data science role
Experience in statistical analysis, machine learning models, and advanced quantitative methods with a strong focus in causal inference
Must include experience with regression, classification, clustering, time-series analysis, and LLMs
Exceptional programming skills in Python and SQL
Comfort with advanced analytics and data visualization tools and libraries such as Pandas, R, Spark, and Tableau
Deep familiarity with commonly used Statistics and ML libraries such as ScikitLearn, SparkMLLib, SciPy, and/or StatsModels
Demonstrated experience in applying statistics and machine learning to generate clear actionable insights
Comfortable with a variety of data stores such as Hadoop, and Snowflake, familiar with distributed analytics engines such as Spark/PySpark
Posses exceptional communication skills to communicate analyses in a clear and effective manner to technical audience and executive leadership
Demonstrated ability to partner with engineering, meet the data needs of the business, finding creative analytical solutions and develop initial prototypes to address complex business problems
Demonstrated ability to operate comfortably and optimally in a fast-paced and constantly evolving environment
Bachelor's degree in a related field of study, or equivalent industry experience

Preferred

Experience in the mobile advertising industry or related field
Familiarity of Causal Inference packages such as CausalImpact, DoubleML, DoWhy, and EconML
Familiarity with job orchestration frameworks such as Airflow
Demonstrated ability to build visualizations, dashboards and enable broader consumption of insights and tools for investigations

Benefits

Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation

Company

Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

H1B Sponsorship

Apple has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)

Funding

Current Stage
Public Company
Total Funding
$5.67B
Key Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity

Leadership Team

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Tim Cook
CEO
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Craig Federighi
SVP, Software Engineering
Company data provided by crunchbase