Apple is a place where extraordinary people gather to do their best work. Together we create products and experiences people once couldn’t have imagined - and now can’t imagine living without. If you’re motivated by the idea of making a real impact, and joining a team where we pride ourselves in being one of the most diverse and inclusive companies in the world, a career with Apple might be your dream job! You will become a member of the Sales Finance team at Apple. With approximately 150 employees based across 4 regional hubs within EMEIA (Europe, Middle East, India and Africa), we create value, collaborating with many teams to provide outstanding commercial and financial support. We set the bar high; go out of our way to help others; share knowledge; filter out noise to focus on the essential; encourage the very best from ourselves and the team; and drive the right course of action. To do all of this you will be an excellent communicator, collaborator and innovator, with a passion for debate and inclusion.
Description
Our team provides data & automation infrastructure to enable commercial insights for EMEIA Sales Finance and EMEIA Sales. In your role, you will create and maintain data pipelines and machine learning solutions. We help to train and encourage adoption of these technologies with the wider Sales Finance team. You will work in a collaborative environment with minimal formal structure and should be comfortable in a changing environment with competing priorities. You will possess proven business insight, a strong quantitative / technical background, natural curiosity, and the ability to effectively shift between communications styles based on the audience (from a technical peer review through to a leadership update). As this is a role within Finance, you will also be required to have attention to detail as well as strong business and finance acumen.
","responsibilities":"You will manage the end-to-end solution delivery, including:
gathering business requirements
designing and building solutions,
managing testing, training, and rollout
For more complex projects, you may partner with IS&T and Business Process Reengineering teams on delivery. Our team acts as superusers of analytics & BI platforms (e.g. Tableau, SAP BusinessObjects), databases (e.g. Dremio, Snowflake), and data science platforms (e.g. Dataiku).
Preferred Qualifications
Solid understanding of the theory behind statistical analysis and machine learning
Experience in applying data science / machine learning techniques especially times series forecasting to provide solutions to real business problems
Knowledge of machine learning techniques especially for time series forecasting
Experience in developing and maintaining data pipelines
Experience with cloud data science platforms: Dataiku (preferred), DataRobot, Databricks, AWS SageMaker, Google Cloud AI Platform, etc.
Experience in full data science project delivery lifecycle - from identifying the underlying business needs to delivering projects in manner that meets those needs
Curiosity to understand new data science tools and how they can be leveraged to meet business needs
Ability to translate technical content for non-technical audiences and vice-versa
Strong verbal / written communication skills
Creativity to go beyond current tools to deliver the best solution to the problem
Detail oriented and self-motivated individual able to function effectively when working independently or in a team.
Familiarity with MLOps practices is a plus
Experience with Git is a plus
Experience using Tableau is a plus
Experience using Essbase is a plus
Experience using BusinessObjects is a plus
Minimum Qualifications
3-5 yrs experience working as a data scientist, data engineer, data analyst, or related role
2-3 years experience in Python (with emphasis on packages like Pandas, scikit-learn, statsmodels)
Proficiency in query languages such as SQL
Basic knowledge and understanding of software design principles and how to apply them (SOLID, DRY, modularity, abstraction, consistency, etc.)
BS/MS in Data Science/Machine Learning, Mathematics, Statistics, Information Systems, or related field
At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more