Requisition ID: 2xxxx7
Work Area: Information Technology
Expected Travel: 0 - 10%
Career Status: Student
Employment Type: Limited Full Time
(COMPANY NAME) started in 1972 as a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done. Today, as a market leader in enterprise application software, we remain true to our roots. That's why we engineer solutions to fuel innovation, foster equality and spread opportunity for our employees and customers across borders and cultures.
(COMPANY NAME) values the entrepreneurial spirit, fostering creativity and building lasting relationships with our employees. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift up societies and sustain our environment. Because it's the best-run businesses that make the world run better and improve people's lives.
About the organisation Intelligent Data & Analytics at (COMPANY NAME)
Intelligent Data & Analytics (ID&A) is in charge of providing and extending the trusted data andanalytics foundation of our vision of an Intelligent Enterprise. From ensuring data quality over unifying the semantics across the company to enabling insights beyond the ordinary through analytics, ID&A assumes the (COMPANY NAME)-wide ownership for data, reporting/planning, analytics and in this context drives (COMPANY NAME)'s Analytics strategy. The team is an execution-focused organization collaboratively working cross functions to ensure the adoption of best practices and enabling a scalable, world-class analytics foundation fully leveraging technology innovations to provide global transparency out of one single source of truth reporting system. In addition, the Intelligent Data & Analytics function delivers pre-defined services with a clear customer focus on the best leverage of economies of scale.
At Intelligent Data & Analytics, we have full access to the (COMPANY NAME)-internal troves of data and are always aiming to make the very best out of it.
Our team and the profile we are looking for
Our data science and machine learning team (Exponential Analytics) is part of the ID&A and its platform team. We work on advanced analytics, external data acquisition and data science problems together with other colleagues from Intelligent Data & Analytics and, depending on the project set up, all sorts of profiles across the company. Within and beyond Intelligent Data & Analytics we aim to nourish a advanced analytics community to scale the use of machine learning even faster throughout the Analytics organisation and exchange on problems / solutions. We work on projects across all lines of business within (COMPANY NAME) (sales, finance, product development, marketing, operations, services and HR) which always makes for interesting new cases but also requires plenty of flexibility to work with different profiles and skill levels. In this set up a data scientist can never get a clean cut in their responsibilities and will have to work with and as data base engineers to acquire data, project management and stakeholders to define scope and success measures, visualize findings and code algorithms, work with engineering to deliver the outcomes and be technology savvy to introduce new standards, cutting-edge tech and optimize existing set ups.
The team itself consists of a variety of profiles and skills from computer science, over sociology and material sciences to economics and finance - we appreciate and see a lot of value in diversity of skills and views! The majority of data scientists and PhDs is located either in Walldorf, Germany or Paris, France. Open communications, sharing, unconditional support of one another and always delivering at excellence are our core values.
Tasks and Responsibilities
* Work on acquiring company-external data to improve contextual performance of models
* Implement data ingestion pipelines with big data technologies such as Big Query, Spark and Cassandra
* Design complex SPARK queries to generate valuable insights from external data to our internal business
* Create and implement time series pattern search algorithms to work on revenue and customer satisfaction problems
* Analyse and scope data for projects from various sources
* Communicate with project management, other technical teams and business stakeholders
* Conceptually support citizen data scientists to achieve success in their projects
* Support the development and improvement of continuous delivery mechanisms on our platform
Skills and competencies
* Strong knowledge in one more multiple of the following fields: statistics, mathematics, probability, computer science, econometrics, quantitative sciences
* Experience in working with large scale data bases like Cassandra and Big Query
* Strong coding skills in python or R ,SQL, Spark and Scala
* Experience in working with and developing solutions on Kubernetes is a plus
* Knowledge of (COMPANY NAME) HANA and cloud native application development is beneficial
* Curious, fast learner and entrepreneurial spirit
* Excellent level of English and at least one more EU language spoken
WHAT YOU GET FROM US
Success is what you make it. At (COMPANY NAME), we help you make it your own. A career at (COMPANY NAME) can open many doors for you. If you're searching for a company that's dedicated to your ideas and individual growth, recognizes you for your unique contributions, fills you with a strong sense of purpose, and provides a fun, flexible and inclusive work environment - apply now.
(COMPANY NAME)'S DIVERSITY COMMITMENT
To harness the power of innovation, (COMPANY NAME) invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.
(COMPANY NAME) is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team (Americas: Cxxxxxx.email@example.com or Cxxxxxx.firstname.lastname@example.org, APJ: Cxxxxxx.email@example.com, EMEA: Cxxxxxx@xxx.xxm).
Successful candidates might be required to undergo a background verification with an external vendor.
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