• Serve as lead when working collaboratively with product leads, managers, and owners to draw insight and intelligence from large administrative claims datasets, electronic medical records, and various healthcare registry datasets; • Identify and develop solutions that can be implemented to key strategic business problems using high-level modeling and statistical analyses techniques; • Utilize SQL to perform advanced-level data extraction, transformation and data management; fully document and manage library of source code and algorithms for future use; • Identify, develop, and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner to our clients; • Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects; • Serve as lead when working closely with Inovalon’s Enterprise Data Platform teams to identify, understand, and resolve data issues and improve the efficiency, productivity, and scalability of the company’s data processes; • Troubleshoot complex production-related issues and coordinate successful resolution; • Assist with the evaluation of data analytic vendors and tools; • Maintain compliance with Inovalon’s policies, procedures and mission statement; • Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; • Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company; • Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function;

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Data Scientist We’re building a universal data API that lets brokers, TMSs, fintechs, and fleets connect to truck and trailer data through a single integration. Catena sits beneath the freight ecosystem, normalizing real-time telematics and execution data so platforms can automate workflows, reduce risk, and make better decisions. As a Data Scientist at Catena, you’ll focus on turning large-scale, messy logistics data into clear insights, proof points, and decision-ready outputs that power product direction, GTM motion, and customer conviction. This is not a research-only or academic role. You’ll work directly with real production data from hundreds of thousands of trucks and trailers and collaborate closely with product, engineering, and go-to-market teams to show what’s possible with Catena’s data layer. Role Summary You’ll own the analysis, exploration, and synthesis of Catena’s data to support three core objectives: - Prove value to TMSs, visibility platforms, brokers, and shippers - Enable GTM with concrete demos, sandboxes, and ROI-driven examples - Inform product strategy with real-world patterns from the network You’ll help create large-scale sandboxes, identify patterns like capacity availability, lane behavior, dwell, and utilization, and translate those into narratives customers can immediately understand. What You’ll Do Insight Generation & Analysis - Analyze large-scale telematics and execution data across fleets, lanes, and time - Identify patterns in capacity, utilization, dwell, reliability, HOS, and asset behavior - Develop metrics and summaries that reflect real-world freight performance GTM Enablement - Build and maintain large-scale sandboxes (1,000+ vehicles) using masked or synthetic data - Create compelling examples for sales, pilots, and customer conversations - Partner with GTM to turn raw data into clear ROI stories and proof points Product & Platform Feedback - Surface data-driven insights that influence roadmap priorities - Validate assumptions about customer use cases with real network data - Help define “decision-grade” metrics that customers actually trust Cross-Functional Collaboration - Work closely with product, engineering, and FDEs to understand data nuances - Support pilots and strategic accounts (e.g., TMS, visibility, broker platforms) - Translate technical findings into clear narratives for non-technical audiences Data Quality & Modeling (Lightweight) - Help define data quality checks, thresholds, and confidence measures - Assist in shaping normalized views (lane history, asset identity, availability) - Focus on interpretability and usability over black-box modeling Skills & Qualifications - Strong analytical foundation with experience in Python, SQL, and data analysis workflows - Comfort working with large, messy, real-world datasets - Ability to reason about operational systems using imperfect data - Experience turning analysis into clear business insights and narratives - Strong communication skills across technical and non-technical teams - Comfortable working in ambiguity and early-stage environments Ideal Candidate Profile - 3–6+ years in data science, analytics, or applied research roles - Experience in logistics, supply chain, marketplaces, or networked platforms is a big plus - Excited about building examples and insight, not just models - Enjoys working close to customers and real business problems - Pragmatic, curious, and impact-driven Why Join Us? - Real Impact: Your work ships to production fast with major freight platforms - Product Influence: FDE insights directly shape the roadmap - Real Scale: Hundreds of thousands of trucks, 130+ telematics providers - High Ownership: No ego, execution-driven culture - Remote-First: Flexible work with optional travel and team meetups - Momentum: Customers use us in production and many are investors Compensation: Competitive salary + meaningful equity, full benefits, 401k match Company Description Catena builds the connectivity infrastructure freight has been missing. We unify telematics, sensors, and operational data into a single API so logistics platforms can automate workflows, reduce fraud, improve safety, and build better products. We’re operators who’ve lived these problems inside carriers, brokerages, TMSs, and financial institutions. We care about accuracy, coverage, and real outcomes not hype. Catena has raised $8.25M from Shaper Capital, Floating Point, Plug and Play, Liquid 2, and leading industry angels.

• Design, build, and operate the Decision Intelligence Engines that power Addi’s personalized customer journeys. • Measure and optimize customer LTV, activation, and retention in real-time. • Design and maintain segmentation models based on behavior, performance, lifecycle stage, and growth potential. • Design, train, and deploy models to predict customer behaviors and risks. • Collaborate with data engineering teams to design and optimize data pipelines that support the seamless deployment of the models into production. • Monitor and evaluate model performance. • Work closely with product managers, marketing teams, and stakeholders to translate data insights into actionable strategies. • Continuously innovate by proposing ML models, algorithms, or tools that enhance customer experience. • Design and execute A/B tests to assess the impact of different offers, product recommendations, and marketing strategies on customer engagement.