Finding the best job has never been easier
Senior Data Scientist - Business Analytics jobs at Apple
Advance your career in high tech with Expoint. Discover job opportunities as a Senior Data Scientist - Business Analytics and join top companies in the industry such as Apple. Sign up today and take control of your future.
Company (1)
Job type
Job categories
Job title (1)
United States
State
City
2,027 jobs found
09.09.2025
A
Apple Senior Data Scientist - Experimentation United States, West Virginia
Share
8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred. Analysis: Conduct rigorous, end-to-end...
Description:
- 8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred.
- Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates.
- Experience with A/B testing infrastructure and methodologies and deep understanding of the assumptions of randomized control trials. Experience in marketplace experimentation is a bonus.
- Familiarity with causal machine learning tools and technologies. Well versed in observational causal techniques like regression, propensity score matching, Diff in Diff, regression discontinuity and instrumental variables.
- Design and analyze controlled experiments or counterfactual causal inference studies to estimate the incremental and long term impact of interventions. Experience in measuring advertiser value from campaigns or algorithmic changes is a huge plus.
- Proficiency in SQL and Pyspark or Scala to conduct analyses and build data products (pipelines and dashboards) to automate experiment reporting at scale.
- Lead the design, development, and maintenance of scalable and reliable data pipelines. Implement robust data quality checks, monitoring systems, and data lineage tracking. Advocate best practices for data engineering.
- Strategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact questions.
- Advanced Degree in Computer Science, Statistics, Applied Math or related field.
- Skilled at operating in a cross-functional organization.
- Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
- Curious business attitude with a proven ability to seek projects with a sense of ownership.
- Excellent communication, social and presentation skills.
- Desire to work in a fast-paced and challenging work environment.
- Mentor junior engineers and scientists on the team.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
09.09.2025
A
Apple Senior Data Scientist - Business Analytics United States, West Virginia
Share
Define and guide analysis for the entire lifecycle of media advertising products, from sales planning to ad delivery and performance. Lead partnerships with cross functional teams to define collaboration model...
Description:
- Define and guide analysis for the entire lifecycle of media advertising products, from sales planning to ad delivery and performance.
- Lead partnerships with cross functional teams to define collaboration model and outline business needs into data and analysis requirements.
- Translate ambiguous business requirements into actionable insights with an uncompromising emphasis on accuracy.
- Lead the inventory management process and develop a comprehensive strategy, defining the supply availability at various News/Media topics.
- Lead business analytics projects through all phases, including defining investigations, exploring data, conducting analysis, interpreting, and presenting results for customers.
- 8+ years of Business Analytics or News/Media advertising experience.
- Strong data analysis skills to conduct deep dives by applying data science to generate actionable insights.
- Exceptional communication skills, with the ability to communicate complex analyses in a clearly to executive leadership and technical audience.
- Demonstrated ability to collaborate with advertisers to design tests to demonstrate effectiveness of Apple Ads, collaborate with sales and product leadership to manage ads inventory, and collaborate with product leadership to solve challenging product problems.
- Proficiency in SQL, python and familiarity with data stores such as Hadoop and Snowflake.
- Bachelor's degree in a related field of study, or equivalent industry experience.
- 11+ years of Business Analytics or News/Media advertising experience.
- Experience and knowledge of ad tech, digital and mobile advertising experience is a big plus.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
09.09.2025
A
Apple Security Software Engineer Data Protection United States, West Virginia
Share
Excellent C and systems programming skills. Strong understanding of operating systems internals. Industry exposure to and knowledge of OS security and applied cryptography. Ability to deliver solid work on tight...
Description:
- Excellent C and systems programming skills
- Strong understanding of operating systems internals
- Industry exposure to and knowledge of OS security and applied cryptography
- Ability to deliver solid work on tight schedules
- Excellent teamwork skills. We work with all engineering teams involved in these products, and on all of their code
- Understanding of past, current, and emerging security exploits
- iOS and macOS exposure (end user, administrator, developer)
- Kernel programming
- Hypervisor design and architecture
- Involvement in open source technologies and development communities such as FreeBSD and Linux
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
09.09.2025
A
Apple Senior Backend Software Engineer Golang United States, West Virginia
Share
Architecting and developing cloud services : you will design, implement, and own new cloud services. Ensuring high availability and scalability : systems you design must be reliable, resilient, and can...
Description:
- Architecting and developing cloud services : you will design, implement, and own new cloud services.
- Ensuring high availability and scalability : systems you design must be reliable, resilient, and can handle a massive user load without failure.
- Owning the Full Software Lifecycle (DevOps): you will be responsible for deploying, monitoring, and supporting your services in production.
- Defining Technical Requirements from Ambiguity: translate high-level goals into concrete technical specifications and tasks.
- Bachelors degree in Engineering (CS or CE)
- 7 years of experience in software engineering
- You have deep understanding of core CS — including algorithms & data structures, operating systems, distributed systems, networking, and concurrent programming.
- You have experience and insight into designing, implementing, and supporting highly scalable cloud services from the ground up.
- You are a versatile programmer in Go, Java, Python.
- You are comfortable in working in a dynamic, fast-growing team environment.
- You can thrive in small team environment with minimal documentation and process.
- You have phenomenal aptitude to deal with ambiguity, and enthusiasm to help tackle difficult issues.
- You will be collaborating across many participating teams, so good interpersonal skills, will help you success in this role.
- DevOps experience is nice to have.
- Masters Degree in CS or CE is preferred.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
09.09.2025
A
Apple US-Senior Manager United States, West Virginia
Share
You should:. Be available to work a schedule based on business needs that may include nights, weekends, and public holidays in the retail store, and reliably attend work as scheduled,...
Description:
Perform other tasks as needed.
- You should:
- Be available to work a schedule based on business needs that may include nights, weekends, and public holidays in the retail store, and reliably attend work as scheduled, in line with local laws and subject to any approved accommodations.
- Be proficient in written and spoken English (sign language supported).
- Have 3 years of leadership experience in retail, sales, or a related field..
- You can:
- Exceed goals successfully, and persist in accomplishing objectives despite obstacles and setbacks.
- Follow through on commitments and establish mechanisms to encourage others to do the same.
- Instill trust within the team and operate with a high level of integrity.
- Make timely and sound decisions by asking questions and using analytics, experience, and judgment.
- Communicate with excellence, and tailor your communication style to different audiences.
- Develop others through mentorship, coaching, and effective feedback.
- Provide support and guide others through challenges, and step in to handle difficult conversations, while remaining calm in a fast-paced and constantly changing retail environment.
- Manage work through effective organization, planning, and prioritization.
Show more
These jobs might be a good fit
09.09.2025
A
Apple Senior Speech Machine Learning Engineer United States, West Virginia
Share
Machine Learning background in speech and/or language/text/dialogue processing field. Processing large, complex, unstructured data. Speech understanding or generation model training. Evaluation of multiple open source models. M.S. or Ph.D. degree...
Description:
In this role you will - Work with open source tools like PyTorch, Jax, Ray and others- Run data based ablation studies- Use open source or train models to extract signals from large volumes of speech data to drive modeling improvements
- Machine Learning background in speech and/or language/text/dialogue processing field
- Processing large, complex, unstructured data
- Speech understanding or generation model training
- Evaluation of multiple open source models
- M.S. or Ph.D. degree in Computer Science, or equivalent experience
- Knowledge of JAX, PyTorch
- Deep knowledge of distributed data processing frameworks (Beam, Spark, Dask, Ray)
- Strong software engineering abilities, ideally C++ and/or Java and/or Python
- Real passion for building research demo prototypes and turning them into production quality design/implementation
- Strong interpersonal skills to work well with engineering teams
- Excellent problem solving and critical thinking
- Ability to work in a fast-paced environment with rapidly changing priorities
- Passionate about building extraordinary products and experiences for our users
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
09.09.2025
A
Apple Software Engineer Data Ai & Platforms United States, West Virginia
Share
Experience building enterprise-level data applications on distributed systems. Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query. Programming experience in building high-quality software...
Description:
We engineer high-quality, scalable and resilient distributed systems on cloud that power data exploration, analytics, and production models. Our core systems are diverse and come with an unusual intersection of high data volumes with systems distributed across cloud and on-premise infrastructure. This role will build solutions that integrate open source software with Apple’s internal ecosystem. You will drive development of new components and features from concept to release: design, build, test, and ship at a regular cadence. You will work closely with internal customers to understand their requirements and workflows, and propose new features and ecosystem changes to streamline their experience of using the solutions on our platform. This is a challenging software engineering role, where a large part of an engineer's time is spent in writing code and designing/developing applications on cloud, with the remainder being spent on tuning and debugging codebase, supporting production applications and supporting our application end users. This role requires in-depth knowledge of innovative technologies and cloud data platform with the ability to independently learn new technologies and contribute to the success of various initiatives.
- Experience building enterprise-level data applications on distributed systems
- Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query
- Programming experience in building high-quality software with at-least one of the following programming languages - Python, Scala or Java.
- Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications.
- Familiarity with foundational concepts in Generative AI (e.g., Large Language Models, prompt engineering)
- Bachelor's degree in Computer Science or equivalent experience
- Hands-on experience in designing and development of cloud-based applications that include compute services, database services, APIs to design RESTful services, ETL, queues and notification services.
- Experience in cloud data warehousing platforms like Snowflake is highly valued
- Experience developing Big Data applications using Java, Spark, Kafka is a huge plus
- Data Visualization Tools: experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker
- Data Insights and KPIs: Working experience on generating and visualizing data insights, metrics, and KPIs. Usage of GenIA , basic ML models in the area of anomaly detection, forecasting)
Bachelor's degree in Computer Science or equivalent experience
Show more
These jobs might be a good fit
Share
8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred. Analysis: Conduct rigorous, end-to-end...
Description:
- 8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred.
- Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates.
- Experience with A/B testing infrastructure and methodologies and deep understanding of the assumptions of randomized control trials. Experience in marketplace experimentation is a bonus.
- Familiarity with causal machine learning tools and technologies. Well versed in observational causal techniques like regression, propensity score matching, Diff in Diff, regression discontinuity and instrumental variables.
- Design and analyze controlled experiments or counterfactual causal inference studies to estimate the incremental and long term impact of interventions. Experience in measuring advertiser value from campaigns or algorithmic changes is a huge plus.
- Proficiency in SQL and Pyspark or Scala to conduct analyses and build data products (pipelines and dashboards) to automate experiment reporting at scale.
- Lead the design, development, and maintenance of scalable and reliable data pipelines. Implement robust data quality checks, monitoring systems, and data lineage tracking. Advocate best practices for data engineering.
- Strategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact questions.
- Advanced Degree in Computer Science, Statistics, Applied Math or related field.
- Skilled at operating in a cross-functional organization.
- Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
- Curious business attitude with a proven ability to seek projects with a sense of ownership.
- Excellent communication, social and presentation skills.
- Desire to work in a fast-paced and challenging work environment.
- Mentor junior engineers and scientists on the team.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
Discover your dream career in the high tech industry with Expoint. Our platform offers a wide range of Senior Data Scientist - Business Analytics jobs opportunities, giving you access to the best companies in the field, like Apple. With our easy-to-use search engine, you can quickly find the right job for you and connect with top companies. No more endless scrolling through countless job boards, with Expoint you can focus on finding your perfect match. Sign up today and follow your dreams in the high tech industry with Expoint.