We are seeking a Senior Data Scientist to be one of the first data science hires for our newly formed ML team. This is a unique ground-floor opportunity to build our data science capabilities from scratch and have direct influence on our analytical and modeling approaches. This role combines advanced data science expertise with foundational contributions, requiring someone who can develop sophisticated models, conduct deep analytical research, and help establish the data science methodologies that will guide the team as we scale. As one of our founding data scientists, you'll work closely with our Tech Lead to shape our modeling approaches, define our analytical standards, and build the fundamental data science skill set for future hires.
What You'll Do:
Build foundational data science capabilities: As one of our first data science hires, work with the Tech Lead to develop core modeling methodologies, analytical frameworks, and research practices
End-to-end model development: Take ownership of complete ML model lifecycle - from initial research and experimentation through production deployment and monitoring
Build impactful models: Design, develop, and deploy machine learning models that solve complex business problems across payments, risk, and customer analytics
Define analytical standards: Help establish best practices for data exploration, feature engineering, model validation, and statistical analysis
Conduct deep research: Lead exploratory data analysis and research initiatives to uncover insights and identify ML opportunities across the business
Partner with stakeholders: Work closely with business teams to understand requirements, translate problems into data science solutions, and communicate findings effectively
Establish model development practices: Help set up our approach to model experimentation, A/B testing, and performance monitoring
Shape data science culture: Contribute to establishing the team's analytical rigor, documentation standards, and knowledge-sharing practices
Drive innovation: Research and evaluate new ML techniques, algorithms, and approaches that could benefit our business use cases.

We're looking for a seasoned Senior Data Scientist to be a hands-on technical powerhouse and strategic driver on our team. You wont just build models; you will personally architect and implement the next generation of our decision engines, owning our most complex modeling challenges from whiteboard to production.

As a senior, hands-on member of the team, you will be a go-to expert. While you'll guide and mentor other data scientists, your primary focus will be on leading by example: executing on high-impact projects that define our competitive edge and directly influence our revenue. You'll contribute to the roadmap, not just follow it.


What Youll Do

Architect & Build: Lead the architectural design and hands-on implementation of our most critical ML models, tackling complex challenges in auction dynamics, user valuation, and more at a massive scale.

Influence Strategy: Contribute to and influence the data science roadmap in collaboration with Product and Engineering, ensuring our efforts are focused on maximum business impact.

Outsmart the Competition: Lead the charge in our high-stakes auction environment where your models edge creates outsized financial returns. You will design and own the experimentation framework to prove your impact.

Elevate Our Technical Bar: Set best practices for modeling and coding, and mentor other data scientists through complex technical challenges, code reviews, and model design sessions.

We are expanding our algorithm team working on operational defense command-and-control systems and are looking for a Senior Tracking and Data Fusion Algorithm Engineer. This role focuses on the development of real-time multi-target tracking and sensor fusion algorithms deployed in mission-critical environments This is not a pure ML position. It is a model-based tracking and estimation role with operational deployment responsibility.