Senior Data Scientist - Berlin, Deutschland - SIGNA Sports United

SIGNA Sports United

Geprüftes Unternehmen

Berlin, Deutschland

vor 4 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Company Description

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, , Bikester, Probikeshop, Tennis-Point, and Outfitter. We are passionate about sport and staying active.

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.

Job objective
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.

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.

Job Description:

Identify data sources and source missing information.
Designing, testing and deploying machine learning models.
Developing machine learning algorithms and using statistical techniques to suggest and provide solutions for business challenges.
Building predictive models helping the business user to move proactively.
Defining and designing a data collection of structured and unstructured data.
Enhancing collected data and feature engineering.
Designing and setting up the use case specific data infrastructure.
Data cleansing and verification.
Assessing data quality and recommending actionable measures to improve them.
Researching and discovering data in order to derive prototypes, procedures and ML / AI products to add value to the organization.
Creating clear, comprehensive and coherent reports as well as presentations to communicate working progress and results to operational and managing teams, stakeholders and sponsors.

Qualifications:

Handson, customer and qualitycentric mentality.
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.
Demonstrated experience in ML / AI app development with Python / R.
Very knowledgeable in stateoftheart AI platforms and methodologies.
Profound knowledge of a variety of databases with advanced skills in SQL and related methodologies in relational and nonrelational databases.
MSc / PhD in computer sciences, mathematics, natural sciences or similar.
5+ years experience working in designing and deploying machine learning models.
Profound knowledge in data integration solutions as well as methodologies.
Experienced and knowledgeable in handling extremely large datasets.

Very beneficial skills are:

Experience in system engineering.
Knowledge in AWS services like EC2, S3, SageMaker, etc. as well as experience in analogous services and products.
Experience in workflow tools as well as the deployment of data pipelines.
Strong skills in project management and communication as well as the ability to understand organizational relations.
Passion for Sports and Tech is very welcomed

Additional Information

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.

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.