BERLIN

Tasks

As a Data Scientist (m/f/d), you will develop data-driven solutions for a wide range of business challenges and support our clients in deriving informed decisions from complex data. You will combine statistical modeling, machine learning, and modern AI approaches to develop innovative solutions from data analysis to production implementation.

Development and implementation of data science solutions for various business issues, e.g., sales prediction, media mix optimization, impact analyses, geo-analyses, or NLP-based applications for sentiment analysis.
Analysis and processing of complex data sets from structured, unstructured and geographic data sources to identify relevant customer and business insights.
Development, optimization and implementation of statistical models , machine learning methods and AI-based solutions for various use cases
Creation of reports, dashboards and data-based decision-making tools, as well as the clear presentation of key findings for technical and professional stakeholders.
Presentation of results and recommendations for action to internal teams and customers
Development and maintenance of robust, production-oriented data analytics solutions and Python-based applications for sustainable use in customer projects.
Evaluation and application of modern technologies in the field of AI , Machine Learning and Large Language Models (LLMs) for the further development of data-driven solutions

Benefits

FLEXIBLE WORKING HOURS
JOB RAD
JOB TICKET
CORPORATE EVENTS
Hybrid working : An individual mix of time in the office/home office as well as the possibility to work remotely within the EU for up to 20 days.
Tolle Benefits wie z.B. JobRad, Corporate Discounts
An attractive salary and a competitive overall package including 30 days of vacation.
Do you want to improve your German skills ? We will support you financially!
The Reply Booster Club organizes international events , opportunities for knowledge exchange , and social activities at all Reply offices. These include film screenings, wellness activities, wine tastings, inspirational speakers, community discussion groups, and much more.
Modern working in a high-end office : An innovative and international team with a flat hierarchy awaits you - we want you to grow with us!

Qualifications

You have successfully completed a degree in computer science, statistics, or a similar field.
At least three years of practical experience in the development and implementation of data science and machine learning solutions, as well as experience in handling complex data-driven issues in a business context.
Excellent knowledge of Python and experience in developing robust, maintainable analytics and machine learning solutions.
Solid knowledge of statistical modeling, machine learning, big data analytics and ideally geoanalytics.
Experience in handling structured, unstructured and geographic data , as well as in deriving business insights from complex data sources
Ideally, experience with Large Language Models ( LLMs ), NLP, Apache Spark and cloud technologies such as AWS (e.g., SageMaker, S3, Glue, CloudFormation)
Excellent German and English skills , as well as a willingness to travel occasionally for client projects.

Develop yourself and the digital future – at Reply!

Reply specializes in the design and implementation of solutions based on new communication channels and digital media. With a network of highly specialized companies, Reply defines and develops business models enabled by AI, big data, cloud computing, digital media, and the Internet of Things. Reply offers consulting, system integration, and digital services to companies in the telecommunications and media, industrial and service, banking and insurance, and public administration sectors.

How to become a Replyer

Level 1

Your application

Have you found a position that suits you and your skills? Perfect! Then use our application form to send us your CV and certificates. If everything went smoothly, you will receive a confirmation email.

Level 2

Our answer

We are now reviewing your application and will get back to you as soon as possible. If we are a good fit, we will invite you for an interview.

Level 3

Your job interview

Is the chemistry right? What will you be doing at Reply: a working student position, an internship, writing your thesis, or will you be working as a Reply Ambassador? And what tasks will you be taking on? We'll clarify all of this together in an interview. And if several of our companies are a good fit for you, you'll have the opportunity to attend multiple interviews.

The final

Welcome to Reply

You've received a job offer? Congratulations! We look forward to welcoming you to our team soon.

DATA SCIENTIST (M/W/D)

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