Senior Data Scientist - Product Analytics, Apple Ads

Apple Inc.; Austin (TX); On-site; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Scientist focused on Product Analytics. In this role, you'll leverage your extensive experience in data science to drive key business insights and collaborate with diverse teams. The position emphasizes creativity and analytical prowess, requiring expertise in predictive modeling and data visualization. You'll manage projects that impact customer satisfaction and business performance, making this an exciting opportunity to contribute to innovative solutions in a dynamic environment. If you're passionate about data and eager to make a tangible impact, this role is for you.

Qualifications

• 5+ years experience in a Data Science role.
• Strong programming skills in Python and SQL.
• Experience in advanced quantitative analysis.

Responsibilities

• Support Product, Marketing, and Executive Team with analytics.
• Quantify impact of product and marketing initiatives.
• Design and evaluate experiments for increased usage.

Skills

Python

SQL

AWS

Snowflake

Spark

Tableau

Regression Analysis

Classification

Clustering

Time-Series Analysis

Tools

Tableau

AWS

Snowflake

Spark

Job description

Senior Data Scientist - Product Analytics, Apple Ads

Austin, Texas, United States Software and Services

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Description

A successful candidate will have deep experience in applied methods (predictive modeling, classification, product feature impact measurement), experience building reporting dashboards, and using those methods and tools to drive key business insights. The role requires both a broad knowledge of existing data mining algorithms, strong business sense, and creativity to invent and customize when necessary. You’ll work closely with a broad range of data professionals as well as business leaders. You’ll be working on projects where tools and methods are used to drive real-world business value.Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have direct and measurable impact. We're looking for an inquisitive, collaborative, and passionate person to join this amazing team.- Support Product, Marketing, Partner Development, and the Executive Team with analytics for product performance and customer insight.- Work closely with the product team to identify and size new opportunities, develop data requirements, establish appropriate KPIs, and establish proper reporting.- Become an expert on both the business and the data to drive new insights.- Quantify the impact of product, sales, and marketing initiatives on customer satisfaction, and future behavior.- Manage business analytic projects through all phases, including data quality, data modeling, algorithm/KPI development, statistical analysis, data visualization, and presentation of results and deliverables.- Design and evaluate experiments that help define opportunities for increased usage, improved marketplace performance, and greater customer satisfaction.- Monitor usage metrics, understanding business-based explanations for large scale trends, and patterns in customer lifecycle behavior.- Develop reusable models and assets working closely with Data Technology team to ensure scalability and industrialization as models move into production

Minimum Qualifications

• 5+ years experience in a Data Science role
• Programming skills in Python and SQL, and experience with AWS, Snowflake, Spark and Tableau.
• Ability to communicate the results of analyses in a clear and effective manner with product and leadership teams to influence the overall strategy of the product.
• Ability to work effectively with engineering partners to meet the data needs of the business, translating business needs into analytical requirements.
• Experience in advanced quantitative analysis including regression, classification, clustering, and time-series analyses.
• Comfortable working with modern data technologies. Familiarity with database modeling and data warehousing principles.
• Practical experience working with and conducting experiments on large datasets.

Preferred Qualifications

• 8+ years experience in a Data Science role
• Work experience in digital advertising industry and/or product analytics. with hands on experience working with clickstream data and/or A/B experimentation.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 .

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