Data Scientist (m/f/d) (2)

Reply S.p.A.; München; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

An innovative consultancy is seeking passionate Data Science consultants to tackle leading-edge data science projects. Join a dynamic and motivated team in Munich, where you'll work on diverse projects across industries such as banking and automotive. With a focus on machine learning and cloud technologies, you'll develop state-of-the-art algorithms and automate workflows. Enjoy a collaborative work environment that encourages personal development through training, certifications, and active participation in the machine learning community. This role offers the chance to make a significant impact while enjoying perks like a gym membership subsidy and flexible home-office options.

Leistungen

Gym membership subsidy

Public transport ticket

Home-office options

State-of-the-art work equipment

Recognition for innovation

Active social programs

Office space in downtown Munich

Encouragement for training and certification

Company car scheme

Team-building events

Qualifikationen

• Strong proficiency in Python or R with machine learning and statistics expertise.
• Hands-on experience with cloud platforms and basic data engineering skills.

Aufgaben

• Identify and analyze problems within an analytical framework.
• Develop and implement algorithms at scale to solve business challenges.

Kenntnisse

Python

R

Machine Learning

Statistics

NLP

Recommender Systems

Time Series Analysis

Computer Vision

Data Engineering

Cloud Platforms

Ausbildung

Degree in (Business) Informatics

Degree in Mathematics

Degree in Physics

Degree in Business Administration

Tools

AWS

Azure

GCP

Spark

ELK

Jobbeschreibung

At Machine Learning Reply Germany, we strive to work on leading-edge data science projects with our clients. We are seeking Data Science consultants with a strong technical background.

Machine Learning Reply, with its sister company in Italy and over 15,000 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Data Science and organizational frameworks. We are a close-knit, laid-back, but motivated team that aims to participate in conferences and community practice with our tech partners.

We offer tailor-made, end-to-end solutions in Data Science, covering the entire project lifecycle—from strategy consulting to data architecture, infrastructure, data processing, and modeling using machine learning algorithms.

Our expertise spans the broad Data Science spectrum across key industries of German HDAX companies. With a focus on open source and cloud technologies, we enable our clients to implement new data-driven solutions and optimize existing processes and products.

Responsibilities:

• Identify and analyze problems within an analytical framework.
• Develop state-of-the-art algorithms using the latest methods and technologies to solve business challenges.
• Implement algorithms at scale and automate workflows.
• Leverage experience from various quantitative fields to address problems.
• Communicate results effectively to clients.
• Utilize our team, learning resources, hackathons, and community to advance your technical skills and presence in the machine learning community.
• Work across technology stacks (e.g., Spark, Azure, AWS, GCP, ELK).

What we offer you:

• Opportunities to work on projects across industries like banking, insurance, automotive, retail, etc.
• Active social programs, including conference funding, team-building events, and Reply Exchange.
• Recognition for innovation to support your personal development.
• An open, flat work environment within a broad Reply knowledge-sharing network.
• Office space in downtown Munich with access to Stammstrecke.
• Encouragement for training and certification.
• Home-office options.
• State-of-the-art work equipment.
• Excellent office spaces for a great work experience.
• Public transport ticket within Munich.
• Gym membership subsidy.
• Company car scheme.

Minimum requirements:

• A degree with excellent results in (Business) Informatics, Mathematics, Physics, or Business Administration, plus relevant professional experience.
• Strong proficiency in Python or R, machine learning, and statistics, with expertise in areas like NLP, recommender systems, time series, or computer vision.
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) is mandatory.
• Basic data engineering experience (e.g., data pipelines, ETL, databases) is required.
• A genuine interest in exploring new industries and technologies.
• Experience in prioritizing customer needs and developing business value-oriented solutions.
• Excellent command of English and good knowledge of German.
• Willingness to travel within Germany as required by projects.