Data Scientist (Machine Learning, English)

Top 3 reasons to join us

• Competitive Salary & internal shares program
• Annual allowances for personal development & sport
• 20 days annual leave & 5 days sick leave

Job description

The Role

As a Data Scientist, you will contribute to deep model research and rapid prototyping. You will help identify promising algorithms, craft new features, and run rigorous experiments. You'll partner with the Engineer and Operations teams to help transition successful prototypes into production-ready solutions. Your work will involve designing and deploying machine learning models to cut false positives, uncover novel spoofing vectors, and scale across multiple products. 

Key Responsibilities

• Explore multi-modal data to develop and implement machine learning models that detect location spoofing patterns.
• Contribute to building robust feature pipelines and monitoring dashboards to track model performance.
• Mine cross-product ML signals to help build composite risk scores and network-level intelligence.
• Research advanced techniques like graph neural nets, time-series anomaly detection, and LLMs to address emerging fraud patterns.
• Collaborate with engineer managers, data engineers, and other stakeholders to refine requirements and integrate models into the ML platform.
• Participate in code reviews and help foster best practices in experimentation and documentation.
• Translate model outputs into clear reports, presentations, and recommendations for the team.
• Document methodologies, processes, and workflows for model development and deployment. 
• Design, develop, and maintain robust data and feature pipelines using big data technologies like Spark, Flink, and Delta Lake.
• Build end-to-end machine learning pipelines, encompassing data ingestion, feature engineering, model training, evaluation, and deployment, potentially using tools like MLFlow for tracking.

Your skills and experience

Who You Are

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field.
• You have 3+ years of experience in machine learning, including supervised/unsupervised learning, deep learning, and anomaly detection as a Data Scientist OR 3+ years of hands-on experience as a Machine Learning Engineer or similar role.
• You are proficient in implementing and fine-tuning machine learning models for fraud detection tasks.
• You are skilled in analyzing large, complex datasets to extract meaningful insights and identify patterns of fraudulent behavior.
• You have experience with exploratory data analysis, feature engineering, and statistical analysis.
• You are proficient in Python and its key data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• You have experience with cloud platforms, preferably Databricks.
• You are a strong communicator who enjoys working with cross-functional teams.
• You have an aptitude for solving the technical challenges related to deploying machine learning models in production.
• You can troubleshoot issues, optimize performance, and ensure the reliability of production systems.
• Good verbal and written English communication skills.

Bonus Points

• Publications or research experience in fraud detection or anomaly detection.
• Experience working in fraud detection.
• A PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.

Why you'll love working here

Our Benefits:

1. Learning opportunities & personal development allowance
2. 4 weeks vacation & 5 days sick leave
3. Extensive health insurance
4. Competitive salary package, 100% salary during the probation period
5. Attractive bonuses (13th month, business performance, share appreciation rights)
6. Annual salary performance review
7. Hybrid working mode & Modern office at a prime location in District 1
8. Annual company trip & year-end party
9. Quarterly team-building activities
10. In-office snacks and drinks
11. International working environment
12. Weekly yoga classes in the office

About GeoComply

We’re GeoComply! We are at the forefront of geolocation, cybersecurity, and anti-fraud innovation, developing and delivering cutting-edge technologies to help ensure regulatory compliance, combat bad online actors, alleviate user friction, and protect businesses from fraud.

Achieving significant business and revenue growth over the past three years and dubbed a tech “Unicorn,” GeoComply has been trusted by leading global brands and regulators for over ten years. Our compliance-grade geolocation technology solutions are installed on over 400 million devices and analyze over 12 billion transactions a year.

At the heart of it all is the people, united by a deep commitment to problem-solving and revolutionizing how people and businesses use the internet to instill confidence in every online interaction. With teams across five countries, three continents, and a global customer base, we have no plans to slow down.

Now What? Send us your resume and a cover letter. We Can’t-Wait To Meet You.