GRID eSports GmbH

Senior Data Scientist (m/f/x) | JobSetuu

GRID eSports GmbH

Berlin
Full-Time

Posted 2 घंटे पहले • Via www.arbeitnow.com

Description

Job Overview

  • Source: Arbeitnow
  • Location: Berlin
  • Job Type: Full-Time

Job Description

  • Are you excited about building ML systems that make predictions in real-time?

  • Are you driven by building things end-to-end, from research to live systems?

If the answers to the above questions are yes, then this role could be ideal for you!

We are building real-time prediction systems for competitive esports (CS2, Dota 2, League of Legends). Our models power live betting markets, producing continuously updated win probabilities, handicap lines, over/under totals, and specialty markets during matches.

We are looking for a Senior Data Scientist to lead the research, design, and continuous improvement of our core predictive models. You will be the driving force behind the math, statistical logic, and feature engineering that make our models highly accurate and profitable. You will tackle complex problems in high-frequency data, design rigorous backtesting frameworks, and work on bridging theoretical research and live product features.



What you will do 

  • Design, build, and optimise the machine learning models and statistical frameworks that power our real-time odds and betting markets

  • Extract deep predictive signals from raw, high-frequency esports telemetry, turning complex in-game mechanics into structured modelling features

  • Focus on model performance and probability calibration. Design rigorous backtesting frameworks to prevent data leakage and evaluate performance against historical market baselines

  • Create the mathematical rules and probabilistic derivations that translate baseline win probabilities into complex derivative markets (handicaps, totals, player props)

  • Ensure your models are seamlessly translated into production-grade pipelines and microservices

Your skills will include (must have)

  • 5+ years of professional experience in data science, quantitative research, or statistical modelling

  • Deep, intuitive understanding of probability, statistics, and machine learning theory

  • Expert-level skills in the Python data stack. You write clean, production-grade code

  • Proven experience designing complex backtesting environments and defining custom evaluation metrics for unique business problems

Nice to have

  • Strong understanding of betting concepts, odds, overround, market-making, or quantitative trading. You understand what it means to build models where calibrated probabilities directly drive revenue

  • Experience modelling off streaming data or data that updates continuously over time

  • Deep knowledge of competitive esports (CS2, Dota 2, LoL), the underlying game mechanics, and the competitive meta

  • Understanding of modern MLOps principles and experience with tools like MLFlow, Airflow, etc.

Find more English Speaking Jobs in Germany on Arbeitnow

Expert Career Tips for Senior Data Scientist (m/f/x) Roles

To succeed in a competitive market as a Senior Data Scientist (m/f/x), you need more than just technical skills. Here are some expert strategies to elevate your profile:

  • Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
  • Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
  • Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Senior Data Scientist (m/f/x) requirements.
  • Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
  • Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.

Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Comprehensive Application Strategy & Hiring Process

Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:

1. Initial Research & Tailoring

Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.

2. The Perfect Cover Letter

If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.

3. Navigating the Multi-Stage Interview

Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.

4. Post-Interview Follow-Up

Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.

By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.

Typical Interview Process

  1. Resume screening
  2. HR call
  3. Skill interview
  4. Final manager interview
  5. Offer

Tip: Research the company's products and culture.

Global Market Intelligence & Relocation Insights

At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Berlin and beyond:

The demand for skilled professionals is increasingly borderless. For roles based in Berlin, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.

Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.

Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.

Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.

Skills & Competency Roadmap for Professional Development

To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:

  • Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
  • AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
  • Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
  • Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.

By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.

Apply via JobSetuu

Discover your next career milestone on JobSetuu. This Senior Data Scientist (m/f/x) position is part of our commitment to bringing you the most relevant and high-impact job openings globally. At JobSetuu, we simplify your job search by aggregating premier listings and providing the tools you need to stand out. Don't miss the chance to elevate your professional journey—explore more opportunities and career insights on our platform today.

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