Senior Data Scientist (w/m/d)

Verve Group; Berlin; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading advertising technology company in Berlin is seeking a Senior Data Scientist to enhance their data science capabilities. This role involves designing and optimizing backend systems for AI products while ensuring efficient machine learning model deployment and monitoring. Ideal candidates have strong software engineering backgrounds with experience in Python and cloud services, and will contribute directly to enhancing product performance and revenue.

Leistungen

Wellness days

Language classes

Employee referral bonus

27 holidays

Flexible benefits platform

Qualifikationen

• 3-5+ years of experience in software engineering with ML focus.
• High proficiency in Python; experience with Go, Java or Rust.
• Hands-on with ML libraries like PyTorch and scikit-learn.

Aufgaben

• Design and maintain backend systems for AI products.
• Deploy and optimize machine learning models in production.
• Automate deployment using Kubernetes and CI/CD pipelines.

Kenntnisse

Machine learning expertise

Software engineering

Python programming

API development

Cloud services knowledge

Ausbildung

Bachelor's or Master's degree in Computer Science

Tools

TensorFlow

Docker

Kubernetes

Jobbeschreibung

Who We Are

Verve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers–no matter the screen or location, no matter who, what, or where a customer is. With 30 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at www.verve.com.

Who You Are

We are looking for a Senior Data Scientist to join our Verve Marketplace Data Science team. You will work across data science, backend engineering, and MLOps, deploying models, optimizing real-time performance, and managing large-scale data pipelines. This hands-on role covers the full lifecycle, from design and deployment to monitoring and optimization, with a direct impact on revenue and product performance.

What You Will Do

• Design, implement, and maintain high-performance backend systems for AI-powered products

• Deploy, integrate, and optimize machine learning models into production by building gRPC/RESTful APIs and microservices for consuming model predictions

• Automate model training and deployment with Kubernetes, Helm charts, and CI/CD pipelines to streamline the path from development to production

• Build and optimize systems to ensure minimal delay between input and output, often measured in milliseconds

• Design distributed systems to handle large AI workloads and high-throughput inference, balancing latency and throughput as traffic grows

• Develop pipelines and templates for model training, deployment, monitoring, and iteration

• Continuously monitor deployed models to ensure they remain safe, secure, and performant in live environments

• Manage and serve features through centralized repositories for consistent use in both training and production

• Ensure real-time availability of features for low-latency predictions

• Guide and mentor engineers to strengthen backend development and machine learning expertise

• Act as an MLOps specialist, collaborating with product managers, data scientists, and other stakeholders to provide actionable recommendations

What You Will Bring

A strong foundation in software engineering, combined with specialized knowledge in machine learning systems, is essential.

• 3–5+ years of professional software engineering experience, with 3+ years focused on building and deploying ML systems in production

• High proficiency in Python; experience with compiled languages (Go, Java, Rust, or C++) for high-performance, low-latency backend services

• Hands-on experience with ML libraries such as PyTorch, TensorFlow, and scikit-learn

• Proven ability to build, deploy, and maintain scalable backend systems, including RESTful APIs and microservices (FastAPI, Flask, gRPC)

• Expertise in MLOps, including Docker, Kubernetes, CI/CD (Jenkins, GitLab CI, GitHub Actions), and Infrastructure as Code (Terraform, Ansible)

• Experience with model serving platforms (NVIDIA Triton, TensorFlow Serving, Seldon Core) and optimization techniques such as quantization and pruning

• Practical experience with feature stores, open-source (e.g., Feast) or commercial (e.g., Tecton, SageMaker), for training and real-time inference

• Proficiency in at least one major cloud platform (AWS, GCP, or Azure) and related AI/ML services (Amazon SageMaker, Google Vertex AI, Azure Machine Learning)

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Statistics, or a related quantitative field

What We Offer

• Be part of a multicultural team that is bringing advertising to the next level

• You will learn and evolve in an empowering environment characterized by entrepreneurial actions

• Responsibility, independence, and an opportunity to participate in projects that have a significant impact on Verve’s success

• 3 Wellness days per year (in Q1, Q2 & Q3) and Employee Assistance Program through Nilo Health to help you maintain your well-being

• Enhance your professional skills with a yearly training budget and improve your language skills through German and/or English classes

• Work and Travel Program (monthly raffle after 2 years of employment)

• We are eager to build a great team together and we appreciate your help through our Employee Referral Bonus

• Align your interests with the company's success and take part in our Employee Shares Purchase Plan

• You will be entitled to 27 holidays per year in addition to any of the public/bank holidays

• Personalized Benefits Platform; with a budget of 100 EUR/month, you can choose the benefits that fit you best from the following options:

  • Internet allowance

  • Mobility allowance such as BVG/HVV tickets and car/bicycle rental

  • Kindergarten, daycare center subsidy

  • Sport membership (Urban Sports Club - M) and personal development

  • Shopping vouchers

• Enjoy food and beverage benefits with colleagues and have fun during team events

• Take advantage of our Employee offers and discounts

• Corporate Pension Scheme

Verve provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #LI-Hybrid