Apple
San Francisco Bay Area, California, United States Software and Services
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each others ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. Its the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, youll do more than join something youll add something. At Apple, extraordinary ideas have a way of becoming great products, services, and customer experiences very quickly.
Description
In todays fast-paced, data-centric marketplace, we are seeking a dedicated, curious, passionate, and results-oriented individual who excels in critical thinking and brings deep expertise in analyzing marketing data to join our Marketing Data Sciences team. The Data Scientist will play a key role in enabling insights for marketing campaign performance. This individual will provide measurement and campaign optimization insights for Apples payment products to inform and shape marketing strategy and user experience. The successful candidate be a thought partner to the marketing team, will work closely with the collaborators to understand their goals and critical metrics, and then analyze data to provide actionable recommendations. Our culture is about getting things done iteratively and rapidly, with open feedback and discussion. We believe analytics is a team sport, but we strive for independent decision-making and taking smart risks. Responsibilities
Build data/model pipelines to automate recurring data pull and modeling processes. Conduct descriptive and causal inference analysis in large-scale data to identify key insights and opportunities. Analyze marketing campaign performance across marketing and advertising channels using sophisticated statistical and econometrics models. Communicate findings clearly to technical and non-technical audiences. Leverage Tableau and Keynote to visualize insights and deliver results in business presentations and dashboards. Minimum Qualifications
Relevant background in Analytics and Data Science. Outstanding verbal and written communication skills. Strong technical skills in SQL and Python. Experience with Tableau to deliver actionable insights. Preferred Qualifications
Prior professional experience in financial products and services, marketing, advertising, or customer analytics Fluency with SQL queries in large and complex fragmented datasets and relational databases. Expertise in causal inference modeling and advanced statistical/ econometrics models, including regression and time series modeling. Degree in Analytics, Data Science, Marketing or similar 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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. 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. #J-18808-Ljbffr
In todays fast-paced, data-centric marketplace, we are seeking a dedicated, curious, passionate, and results-oriented individual who excels in critical thinking and brings deep expertise in analyzing marketing data to join our Marketing Data Sciences team. The Data Scientist will play a key role in enabling insights for marketing campaign performance. This individual will provide measurement and campaign optimization insights for Apples payment products to inform and shape marketing strategy and user experience. The successful candidate be a thought partner to the marketing team, will work closely with the collaborators to understand their goals and critical metrics, and then analyze data to provide actionable recommendations. Our culture is about getting things done iteratively and rapidly, with open feedback and discussion. We believe analytics is a team sport, but we strive for independent decision-making and taking smart risks. Responsibilities
Build data/model pipelines to automate recurring data pull and modeling processes. Conduct descriptive and causal inference analysis in large-scale data to identify key insights and opportunities. Analyze marketing campaign performance across marketing and advertising channels using sophisticated statistical and econometrics models. Communicate findings clearly to technical and non-technical audiences. Leverage Tableau and Keynote to visualize insights and deliver results in business presentations and dashboards. Minimum Qualifications
Relevant background in Analytics and Data Science. Outstanding verbal and written communication skills. Strong technical skills in SQL and Python. Experience with Tableau to deliver actionable insights. Preferred Qualifications
Prior professional experience in financial products and services, marketing, advertising, or customer analytics Fluency with SQL queries in large and complex fragmented datasets and relational databases. Expertise in causal inference modeling and advanced statistical/ econometrics models, including regression and time series modeling. Degree in Analytics, Data Science, Marketing or similar 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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. 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. #J-18808-Ljbffr