(Senior) Data Scientist (m/w/d)

Date: Sep 25, 2022

Location: Mülheim an der Ruhr, NW, DE, 45481

Company: ALDI SÜD

(Senior) Data Scientist (m/w/d)
02. Open
Experienced
IT-Jobs: Data & Analytics
ALDI International Services SE & Co. oHG
Mintarder Straße 36-40
Mülheim an der Ruhr
45481
Deutschland (DE)
https://jobs.cdn-aldi-sued.de/ITimg/2020_IT-Jobs_Big_Data.jpg
https://jobs.cdn-aldi-sued.de/video/.mp4
https://jobs.cdn-aldi-sued.de/video/.jpg
full-time
nach Vereinbarung
95-175 [Kombi] Lang: Jobvector 6W / Jobware 60T / Stellenanzeigen.de 90T
ALDI SÜD
(Senior) Data Scientist (m/w/d) (ID:256822)

<h4 class="intro">Bitte nicht bearbeiten</h4>

In the Global Data & Analytics (GDA) team at ALDI SOUTH, everything revolves around one topic: creating data-based value for ALDI SOUTH and our customers around the world. In global projects, we develop customised solutions for and with our business and IT teams. By doing so, we support the entire organisation in making major business decisions based on reliable data and cutting-edge analytics.* Become part of the Global Data & Analytics team and contribute to the data-driven future of ALDI SOUTH . 

<h3 class="jd">Your Tasks</h3>

  • Collaborates with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools
  • Effectively communicates the analytics approach and how it will meet and address objectives to business partners
  • Advocates and educates on the value of data driven decision making focusing on the “how and why” of solving problems 
  • Leads analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
  • Creates repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
  • Engineers features to find new ways to combine disparate internal and external data sources
  • Identify and develop long-term processes, frameworks, tools, methods and standards
  • Collaborates and coaches with a growing team of experienced Data Scientists and stays connected with external sources of ideas

<h3 class="jq">Your Profile</h3>

  • Has an academic background in Data Science, Computer Science, Engineering, or Statistics
  • Has demonstrated a Data Science skill set and is proficient in Python or R, and writing complex SQL queries
  • Is proficient with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
  • Has proven ability to merge and transform disparate internal & external data sets together to create new features 
  • Has experience with Big Data technologies (preferably Azure stack) and with data visualization tools preferred, e.g., Tableau
  • Had experience with supporting deployment, monitoring, maintenance and enhancement of models desired

<h3 class="jb">Our Benefits</h3>

  • Mobile working within Germany incl. equipment and flexible working hours 
  • State-of-the-art technologies 
  • Attractive remuneration as well as holiday and Christmas bonuses 
  • Future-oriented training and development 
  • Modular onboarding and buddy 
  • Health activities