Senior Data Scientist (Anti-spoofing ML)

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.
The RoleAs a Senior Data Scientist, you will lead deep model research and rapid prototyping - identifying promising algorithms, crafting new features, and running rigorous experiments - while partnering with the Engineer and Operations teams to transition successful prototypes into production‑ready solutions. You will design and deploy machine learning models that cut false positives, uncover novel spoofing vectors, and scale seamlessly across multiple products.

Key Responsibilities

• Explore multi‑modal data, develop and implement advanced machine learning models to detect location spoofing patterns within large datasets.
• Build robust feature pipelines and monitoring dashboards that surface model performance drifts within minutes.
• Mine cross‑product ML signals to build composite risk scores and network‑level intelligence.
• Research advanced techniques (graph neural nets, time‑series anomaly detection, LLM, etc.) to stay ahead of emerging fraud patterns.
• Act as a leader in defining milestones, delegating tasks, and ensuring on‑time delivery.
• Coach and review the work of Data Scientists/Analysts; foster best practices in code review, experimentation, and documentation.
• Collaborate Cross-Functionally: Work closely with engineer managers, data engineers, and other stakeholders to refine requirements, integrate the model into the ML platform, and make a measurable impact.
• Translate model outputs into clear narratives and recommendations to the team through clear and concise reports and presentations.
• Document methodologies, processes, and best practices related to data science workflows, model development, and deployment for internal reference and regulatory compliance purposes.
• Other Tasks as Assigned: Flexibility is key in a dynamic environment; you’ll help out on various projects and initiatives as needed.

Who You Are

• You have over 5 years of experience in machine learning, including supervised and unsupervised learning techniques, deep learning, and anomaly detection algorithms. You are proficient in implementing and fine-tuning machine learning models to achieve high accuracy and reliability in fraud detection tasks.
• You excel in analyzing large-scale, complex datasets to extract meaningful insights and identify patterns indicative of fraudulent behavior. You are adept at exploratory data analysis, feature engineering, and statistical analysis to uncover hidden trends and anomalies.
• You are proficient in Python and its key data science-related libraries (scikit-learn, TensorFlow, PyTorch, pandas, NumPy).  
• You have experience with cloud platforms, preferably Databricks.
• You have a proven track record of designing and automating scalable data processing pipelines and infrastructure. 
• You are a strong communicator and enjoy working with cross-functional teams, including data scientists, software engineers, and business stakeholders. 
• You excel at solving complex technical challenges related to deploying and managing machine learning models in production. You are adept at troubleshooting issues, optimizing performance, and ensuring the robustness and reliability of production systems.
• You demonstrate leadership potential, whether through mentoring junior team members, leading technical initiatives, or driving innovation within the organization. You are passionate about sharing your knowledge and expertise to help others grow and succeed in their roles.

Bonus Points

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

Apply Now!
Interested in joining our team? Send us your resume and a cover letter. We can’t wait to meet you!
Commitment to Diversity and Equity.If you don't tick every box in this job description, please don't 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 CarefullyWe 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 you’ll 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.
Here’s why we think you’d love working with us.
We’re working towards something bigWe’ve built a reputation as the global market leader for geolocation compliance solutions for over 10 years. We’re 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 aren’t just a buzzwordOur 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 we’re all proud to be a part of. Learn more, here.
Diversity, equity, and inclusion are at the core of who we areIn 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 experienceAt 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 goodWe 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 teamOur 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 collaborationGeoComply 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 don’t hesitate to let us know so we can do our best to prioritize your needs.
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