About GeoComply

Were 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.

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&aposll 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.

Who You Are

Bachelor&aposs or Master&aposs 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.

Apply Now!

Interested in joining our team Send us your resume and a cover letter. We cant wait to meet you!

Commitment to Diversity and Equity.

If you don&apost tick every box in this job description, please don&apost rule yourself out. Research suggests that women and other people in underrepresented groups tend to only apply if they meet every requirement. We focus on hiring people who value inclusion, collaboration, adaptability, courage, and integrity rather than ticking boxes, so if this resonates with you, please apply.

Search Firm Representatives Please Read Carefully

We do not accept unsolicited assistance from search firms for employment opportunities. All CVs or resumes submitted by search firms to any employee at our company without a valid written agreement in place for this position will be considered the sole property of our company. No fee will be paid if a candidate is hired by GeoComply due to an agency referral where no existing agreement exists with the GeoComply Talent Acquisition Team. Where agency agreements are in place, introductions must be through engagement by the GeoComply Talent Acquisition Team.

Why GeoComply

Joining the GeoComply team means youll be part of an award-winning company to work, learn and grow. We are fast-paced, high-impact, and have a can-do team culture.

To be successful in our organization, you need an eager attitude, professionalism, and the confidence to willingly work to prove yourself and your ideas, and earn the trust of the organization.

Heres why we think youd love working with us.

Were working towards something big

Weve built a reputation as the global market leader for geolocation compliance solutions for over 10 years. Were trusted by customers from all over the world, and the next few years will be particularly exciting as we continue to scale across new markets.

Our values arent just a buzzword

Our values are the foundation for what we as a company care about most. They signify the commitment we make to each other around how we act and what we stand for. They are our north star as we work together to build a company were all proud to be a part of. Learn more, here .

Diversity, equity, and inclusion are at the core of who we are

In collaboration with our team and external partners, we promote DEI in our recruitment and hiring practices; scholarships and financial aid; training and mentorship programs; employee benefits, and more.

Learning Is At The Heart Of Our Employee Experience

At GeoComply, we foster an environment that empowers every employee to gain the knowledge and abilities needed to perform at their very best and help our organization grow. From a professional development budget to local training opportunities, knowledge-sharing sessions and more, we are continually investing in employee career growth and development.

We believe in being a force for good

We profoundly care about our impact on the world and strive to make meaningful contributions to the communities we work and live in. Our Impact division focuses on philanthropic and social responsibility initiatives, including supporting our local communities, advancing equality, and harnessing our technology to protect vulnerable groups. Learn more, here .

We Care About Our Team

Our GeoComply team is talented, driven and hard-working, and is known for its positive attitude and energy. At GeoComply, we take care of our employees with the total package. Team members are generously rewarded with competitive salaries, incentives, and a comprehensive benefits program.

We value in-person collaboration

GeoComply culture thrives on a dynamic mix of in-person energy and independent focus and we champion a hybrid work model that blends the energy of in-person collaboration with the flexibility to work from home. Our 3-day in-office policy fosters teamwork and innovation, while also recognizing the importance of individual work styles and needs.

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At GeoComply, we live our value of Act with Integrity. Our workplace is built on mutual respect and inclusion, and we welcome applicants of all backgrounds, experiences, beliefs, and identities. Creating an accessible interview experience for all candidates is important to us. If you have any requests (big or small) throughout our hiring process, please dont hesitate to let us know so we can do our best to prioritize your needs.

We care about your privacy and want you to be informed about your rights. Please read our Applicant Privacy Notice before applying for the position.

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