Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Data Scientist (m/f/d) (23) role.

Rezi rewrites your resume against Machine Learning Reply's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Data Scientist (m/f/d) (23) posting at Machine Learning Reply — free, in seconds.

About the Role

Machine Learning Reply Germany is seeking Data Science consultants with a strong technical background to work on leading-edge data science projects. We offer tailor-made end-to-end solutions covering the entire project life cycle, from strategy consulting to data processing and modeling using machine learning algorithms. We focus on open source and cloud technologies to help customers implement new data-driven solutions and optimize existing processes.

Responsibilities

Identify and analyze problems within an analytical framework.
Develop state-of-the-art algorithms using the latest methods and technologies to solve business problems.
Implement algorithms at scale and automate workflows.
Apply knowledge from various quantitative fields to problem-solving.
Effectively communicate results to clients.
Drive technical development and community presence through team learning, hackathons, and other resources.
Work across diverse technology stacks including Spark, Azure, AWS, GCP, and ELK.

Requirements

Possess a degree with excellent results in (Business) Informatics, Mathematics, Physics, or Business Administration, along with relevant professional experience.
Demonstrate strong proficiency in Python or R, machine learning, and statistics.
Have expertise in at least one area such as NLP, recommender systems, time series, or computer vision.
Possess hands-on experience with cloud platforms like AWS, Azure, or GCP.
Have basic experience in data engineering, including working with data pipelines, ETL processes, or databases.
Show a genuine interest in continuously exploring new industries and technologies.
Have experience in prioritizing customer needs and developing business value-oriented solutions or applications.
Exhibit excellent command of English and good knowledge of German.
Be willing to travel within Germany based on project requirements.

Skills

Python
R
Machine Learning
Statistics
NLP
Recommender Systems
Time Series
Computer Vision
Cloud Platforms (AWS, Azure, GCP)
Data Engineering
Data Pipelines
ETL Processes
Databases
Spark
Azure
AWS
GCP
ELK

Location

Munich

Work Type

Home-office contracts
Full-time

Experience Level

Professional experience

Education Level

Degree in (Business) Informatics, Mathematics, Physics, or Business Administration

Benefits

Access to projects across industries
Active social program
Conference funding
Team building events
Group events
Reply Exchange program
Recognition for Innovation
Open, flat work environment
Broad Reply knowledge sharing network
Office space in downtown Munich
Training and certification encouragement
State-of-the-art work equipment
Award-winning office spaces
Public transport ticket within Munich
Gym-membership subsidy
Company car scheme

About the Company

Machine Learning Reply Germany is part of Machine Learning Reply, with a sister company in Italy and over 15,000 employees globally at Reply.
We are a fast-growing consultancy focused on solving problems with Data Science and the right organizational frameworks.
We are a tight-knit, laid-back, but seriously motivated unit aiming for involvement in conferences and communities of practice with tech partners.
We have extensive expertise in the broad Data Science spectrum across key industries of German HDAX-companies.