data-science

SIGNA Sports United

<div><section><div><p></p><h2>Company Description</h2></div><div><p>SIGNA Sports United (SSU) is the world’s leading sports e-commerce and technology platform, with market leading positions in bike, tennis, outdoor and team sports. Our group of companies include Wiggle, Fahrrad.de, Bikester, Probikeshop, Tennis-Point, and Outfitter. We are passionate about sport and staying active.<br><br>We listed on the New York Stock Exchange in December 2021 and are the largest pure-play sports e-commerce company by revenue. We serve over 7 million active customers, have 1,000+ brand partners, and 500+ connected retail stores.</p><p><strong>Job objective</strong></p><p>As a Data Scientist in SSU you are working on the edge of what technology let's us do. The data scientist creates a new perspective for the business, unveils hidden connections and dependencies. In this role, you are the key driver of a future-proof business. You are contributing to the next generation of new business models as well as automating processes from a data perspective. </p><p>Our business field is growing and changing fast, data is one of the most important parts of the business strategy. The data scientist is a front runner and does not only support by applying standard methodologies of machine learning and statistics but rather has a creative mind to develop new products. You are in the role of challenging the daily business from a process and product perspective. Your expertise and knowledge add value across all businesses.  </p><p>You are working closely with data engineers and data analysts who are providing you with high-performance data pipelines and fantastic discovery as well as business insights within a state-of-the-art tech stack. Of course, you are equipped with the possibilities to discover and treat the data in the greatest way.  </p></div></section><section><div><p></p><h2>Job Description</h2></div><div><ul><li>Identify data sources and source missing information.</li><li>Designing, testing and deploying machine learning models.</li><li>Developing machine learning algorithms and using statistical techniques to suggest and provide solutions for business challenges.</li><li>Building predictive models helping the business user to move pro-actively.</li><li>Setting-up and maintaining application relevant data stores.  </li><li>Defining and designing a data collection of structured and unstructured data.</li><li>Enhancing collected data and feature engineering.</li><li>Designing and setting up the use case specific data infrastructure. </li><li>Data cleansing and verification.</li><li>Assessing data quality and recommending actionable measures to improve them.</li><li>Researching and discovering data in order to derive prototypes, procedures and ML / AI products to add value to the organization.</li><li>Operationalizing ML applications.</li><li>Creating clear, comprehensive and coherent reports as well as presentations to communicate working progress and results to operational and managing teams, stakeholders and sponsors.</li></ul></div></section><section><div><p></p><h2>Qualifications</h2></div><div><ul><li>Hands-on, customer and quality-centric mentality.</li><li>Outstanding analytics skills: identify root causes at their true core as well as a strong comprehension towards business fields in order to meet the customer needs. </li><li>Demonstrated experience in ML / AI app development with Python / R.</li><li>Very knowledgeable in state-of-the-art AI platforms and methodologies. </li><li>Demonstrated experience in the application of various algorithms.</li><li>Profound knowledge of a variety of databases with advanced skills in SQL and related methodologies in relational and non-relational databases. </li><li>MSc / PhD in computer sciences, mathematics, natural sciences or similar.</li><li>5+ years experience working in designing and deploying machine learning models.</li><li>Profound knowledge in data integration solutions as well as methodologies.</li><li>Experienced and knowledgeable in handling extremely large datasets.<br>Very beneficial skills are: </li><li>Experience in system engineering.</li><li>Knowledge in AWS services like EC2, S3, SageMaker, etc. as well as experience in analogous services and products.</li><li>Experience in workflow tools as well as the deployment of data pipelines.</li><li>Strong skills in project management and communication as well as the ability to understand organizational relations.</li><li>Passion for Sports and Tech is very welcomed!</li></ul></div></section><section><div><p></p><h2>Additional Information</h2></div><div><p>We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.</p><p>We at SIGNA Sports United believe that our team-spirit burns brightest when we're together. We also believe in flexible working models. As such, we provide a place for you to come, work and collaborate in any of our offices in the country you are employed in. And of course, you can work from home if needed.<br><br> </p></div></section></div>

Senior Data Scientist (f/m/d) Germany

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