Machine Learning Data Scientist - Predictive Semantics Team, Apple Ads
At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses.
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.
Description
The role requires experience in areas such as predictive modeling (classification and regression), optimization, industrial engineering, demand forecasting, and time-series forecasting. The ideal candidate will have demonstrated capability to deploy data science and machine learning models with large datasets in an industry setting. Deep understanding and ability to compare predictive models, evaluate their strengths and weaknesses in a particular context, and interpret and explain model results to a broad group of technical and non-technical stakeholders are also a plus. Competitive candidates will also have experience working closely with data engineers to build efficient, scalable solutions. We are looking for a thoughtful and creative data scientist to join a team that creatively adapts state-of-the art analytical techniques to real-world business problems with an approach focused on rapid development, evaluation, and iterative improvement. Continuous learning is part of the job, both as it relates to technical skills and within the content and format of advertising domain","responsibilities":"4+ years of recent experience in a data science role.
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Bachelor's in computer science, mathematics, or another quantitative field
Command over Python and SQL.
Comfort with cloud technologies such as AWS and Snowflake.
Experience with Big Data tools such as Hadoop, Spark and PySpark.
Experience in quantitative analysis including regression, classification, linear optimization, supply chain analytics, and time-series analyses.
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 partner with engineering, meet the data needs of the business, find creative analytical solutions, and develop initial prototypes to address business problems.
Experience with end-to-end implementation of a model prototype specifically training, processing, feature engineering, evaluating model outputs, and putting models into production.
Preferred Qualifications
Masters degree or Ph.D. in a quantitative discipline.
Experience in the digital advertising industry or a related field and/or experience with demand forecasting
Willingness to learn, both technically and in the domain of the data.
Familiarity with packages like numpy, pandas, scikit-learn, and prophet
Familiarity with job orchestration frameworks like git, Airflow, CI/CD, Kubernetes, Docker, Jenkins.
Experience and/or interest in deep learning, LLMs, and Natural Language Processing.
Minimum Qualifications
5+ years of experience in Business Analytics, Data Science, or a related analytical role
Strong data analysis skills, including the ability to conduct deep dives using statistical methods and data science techniques
Exceptional communication skills, with the ability to communicate complex analyses clearly to executive and technical audiences
Demonstrated ability to collaborate with cross-functional partners such as Product, Sales, and Marketing to design experiments and analyses that inform business decisions
Proficiency in SQL and data visualization, with a strong eye for design and clarity
Strong programming skills in Python, with experience using libraries such as Pandas, SciPy, and scikit-learn
Comfortable querying and analyzing large datasets using tools such as SQL, Snowflake, or similar analytical data platforms
Bachelor's degree in a related field, or equivalent industry experience
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 .
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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