• Be part of a high-impact data science team building intelligent systems that support sales execution and customer engagement at a global scale. • Design, develop, and deploy machine learning models and optimization solutions across the full lifecycle — from research and experimentation to production — focusing on customer segmentation, visit planning, and execution strategy. • Apply advanced techniques such as statistical modeling, clustering, optimization, and model explainability to generate actionable insights and improve decision-making. • Translate complex commercial and operational problems into scalable data science solutions, incorporating business rules, constraints, and edge cases. • Lead and contribute to experimentation and performance evaluation, ensuring models are robust, interpretable, and aligned with business objectives. • Write production-grade code and build reusable data and modeling pipelines that operate reliably at scale. • Collaborate closely with engineers, product managers, operations teams, and business stakeholders to ensure solutions are effectively integrated into frontline tools and processes. • Drive technical excellence by exploring and applying state-of-the-art methodologies in machine learning, optimization, and analytics. • Ensure model transparency and trust by leveraging explainability techniques and clearly communicating model behavior and trade-offs to stakeholders.

Role Description The Health IT Business Analyst II will serve as the liaison between Government stakeholders and technical teams by gathering business requirements, documenting processes, supporting system modernization efforts, and ensuring technical solutions align with business objectives. This is a remote position requiring all work be performed in the continental United States. US Citizenship is required for consideration for this position. - Elicit, analyze, document, and validate business and functional requirements. - Facilitate stakeholder interviews, workshops, and requirements sessions. - Develop business process models, workflow diagrams, and use cases. - Perform gap analyses and recommend process improvements. - Support Agile backlog development and user story creation. - Maintain requirements traceability throughout the project lifecycle. - Coordinate User Acceptance Testing (UAT) activities. - Prepare functional specifications and business documentation. - Collaborate with developers, engineers, and project managers throughout implementation. - Support organizational change management and training initiatives. - Develop reports and presentations supporting executive decision-making. Qualifications - Bachelor's degree in Business, Information Systems, Healthcare Administration, or related discipline. - Minimum seven (7) years of business analysis experience. - Experience supporting federal IT modernization programs. - Experience documenting business and functional requirements. - Knowledge of Agile methodologies. - Excellent facilitation and communication skills. - Ability to obtain DHS Public Trust suitability. Requirements - CBAP certification. - Experience supporting Health IT or EHR initiatives. - Jira, Azure DevOps, or ServiceNow experience. - Experience supporting Federal healthcare organizations. Benefits - Expected Salary Range: $110,000–$120,000 annually. - Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding. - This position is expected to support a federal customer. - Employment is contingent upon contract award and successful completion of any required background investigation or security requirements.

What's the role? The Senior Data Scientist is responsible for developing map test designs and metrics, sampling designs, Machine learning models, data and computing tools, and other analytics centered on Map and Location quality requirements - Build innovative solutions to measure Map Quality using Machine Learning (including Predictive analytics) and Statistical methods - Be a Subject Matter Expert (SME) on statistical and experimental design methods for Map and Location quality testing processes - Develop sampling plans to perform map quality evaluation, and to create training data for building ML models - Define & implement statistical quality metrics - Design and develop data and computing tools to enable processing of data data and results - Collaborate with internal and external stakeholders - Interact with external customers to discuss use cases, quality methods and metrics and make presentations - Be a Subject Matter Expert (SME) for Map quality testing methods and metrics - Develop and ensure end-to-end design and implementation of quality testing processes, including test design, sampling plans, data collection, quality evaluation, data and computing systems, machine learning models, and metrics. - Engage with other HERE stakeholders to understand business and customer expectations (before engaging in designing test process), and also present work Who are you? - Master's Degree or PhD in Statistics / Data Science / Mathematics / Computer Science / Quality Management Systems - Minimum 5 years of related work experience - Proficiency in Machine Learning concepts and techniques (including classification /predictive analytics techniques) - Proficiency in sampling methods and estimation - Proficiency in Python and/or R - Proficiency in SQL - Experience with understanding, specifying, and explaining measurement and analytic systems to other data scientists, engineers, and non-technical colleagues - Excellent oral and written communication skills. Experience interacting with both internal and external customers, and making presentations - Strong problem-solving and critical thinking abilities - Team player with collaboration skills - Excellent leadership skills - Organized, detail-oriented, effective in multi-tasking - Project Management skills Nice to have: - Experience with using GIS (Geographic Information System) tools for spatial data analysis - Knowledge and experience in Quality management, End-to-End quality test strategy and Six Sigma What do we offer? - Work on on globally deployed automotive navigation and mapping products - Collaboration with an experienced, international engineering organization - Truly international team of fantastic & talented people from 60+ countries worldwide, working from strong tech hubs located in Europe, the US, and Asia, along with multiple smaller locations - Flexible working hours & a flexible approach to office vs. remote work - Medical coverage for you and your family - Yearly variable bonus Life at HERE in Poland comes with a competitive total rewards package designed to support your health, wellbeing, and performance. This includes a base salary, a Short-Term Incentive (STI) bonus (percentage based on role), a creative tax advantage for eligible positions, private medical care (including dental), life insurance, a meal allowance, vision reimbursement, a remote work allowance (if applicable), access to MyBenefit and Multisport programs, and various wellbeing initiatives. Paid time off, sick leave, and parental leave are provided in accordance with the Polish Labor Code. Who are we? HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel . Change is HERE. Apply Now. #LI-NK3 #LI-REMOTE As part of HERE Technologies employment process, candidates will be required to successfully complete a pre-employment screening process. This offer and any related claims are subject to the successful completion of a pre-employment screening. This will involve employment, education, and criminal verification if applicable. HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.

• Lead the Team: Guide and grow our engineering team across Dataviz, Frontend, Backend, Integrations, and DevOps. • Own the Architecture: Take responsibility for our overall architecture, technology choices, and the scalability of the platform—and stay hands-on enough to know why every decision holds up. • Frontend & Backend: Steer our TypeScript/React development for web and desktop, and our Go/Postgres backend. • Dataviz Engine: Drive the development of our browser-based data visualization engine (TypeScript) and its interaction interfaces—the heart of what makes Vizzlo, Vizzlo. • Integrations: Own the tech behind our third-party integrations: Google Slides (Google Apps Script) and Microsoft PowerPoint (VSTO and Office.js, C# and TypeScript/React). • DevOps & Ops: Run our CI/CD pipeline and deployment process, keep production healthy on Vercel and AWS (ECS, RDS, …), manage our Docker-based preview environments. • Keep Us Safe & Sound: Help ensure our data protection and security standards are met, keep the relevant docs and policies current, and manage technical risk sensibly. • Get Shit Done: Do whatever it takes to move the product forward—coordinate a release, hunt down a nasty bug, pair with an engineer, or jump on a customer's integration issue.