We''re seeking a Sr Data Scientist & Geospatial Data Analyst who combines the rigor of a Product Data Scientist with the investigative depth of a Last?Mile Delivery Data Analyst. In this hybrid role, you will analyze geospatial and delivery data, build evaluation frameworks, influence routing and map content improvements, and shape product strategy through enterprise customer insights. You will join the Enterprise Solution product team and become the data detective who uncovers insights that drive our product forward. You''ll dive deep into geospatial data, logistics planning and execution patterns, and system performance metrics to identify problems, spot opportunities, and guide algorithmic improvements. Your analysis will directly influence how our customers optimize last-mile planning and execution down to the last meter. This isn''t just about generating reports—you''ll be an integral part of the product development cycle, working closely with engineers and product managers to translate data insights into actionable improvements. You''ll build the dashboards and monitoring systems that help us maintain quality, expand coverage, and continuously improve our delivery optimization algorithms. This role is ideal for a geospatially fluent data analyst with strong problem?solving skills, capable of working with large, complex datasets and influencing product direction through clear insights. What you''ll do: Last mile delivery and logistics optimization Analyze delivery and sensor data to extract last meter location insights Proactively identify coverage gaps and algorithmic problems before they impact customers.Guide improvements to routing, location matching, and optimization models.Conduct geospatial analyses to assess location accuracy and delivery efficiency.Enterprise customer and map gap quality insights Detect gaps, anomalies, and product issues using telemetry, API logs, customer signals, and usage data and translate insights into product improvements, KPIs, and roadmap recommendations.Generate actionable insights from customer product usage and design data feedback loops to improve map coverage and content qualityBuild scalable data pipelines and automated monitoring systems for continuous evaluationDashboards and communicationBuild dashboards for map quality, delivery performance, and operational KPIsCreate automated reporting and alerting systems for critical metricsCommunicate insights clearly to technical and non?technical stakeholdeers and drive strategic product decisionsCross-functional collaborationWork closely with Product, Engineering, Map Content, Data Engineering, and ML teams to integrate insights into product development.Champion data?driven decision?making and data feedback loopsMaster’s or PhD in Data Science, Computer Science, Geoinformatics, Statistics, or equivalent experience5 years in data science, analytics, or geospatial analysisHands?on experience with geospatial analysis tools and libraries (GeoPandas, PostGIS, Shapely, etc)Strong skills in SQL, Python (pandas, numpy, matplotlib, seaborn, or similar libraries), and data engineering (Spark, ETL, Kafka)Experience analyzing API logs, device telemetry, or anomaly detectionDemonstrated ability to identify patterns and anomalies in complex datasets and turn analytical findings into product improvementsExperience building dashboards and visualizations (Tableau, Grafana, Quicksight)Experience with agentic AI tooling and motivation/interest to grow in this areaStrong analytical thinking with ability to translate data insights into product improvementsExcellent communication skills—able to explain technical findings to diverse audiencesSelf-motivated with ability to proactively identify problems and propose solutions Nice to have:Background in mapping or GISBackground in logistics optimization, routing algorithms, or operations researchBackground in quality assurance or data validation in production systemsExperience with enterprise customer data or B2B ecosystems.Experience working with ML models - performance evaluation, bias, clustering, outlier detectionExperience working with statistical analysis, A/B testing, real?time monitoring, or data validation frameworks.Exposure to Jupyter notebooks, version control (Git), and collaborative data analysis workflows What do we offer?A great work-life balanceHybrid model of workChallenging problems to solveCollaborative and encouraging colleaguesOpportunities to learn, grow and developRegular feedbacksFlexible working hoursCompetitive salary plus bonusEmployee wellness programs and life-coaching sessions Diverse team of fantastic & talented people from 60 countries worldwide.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-HYBRID 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.