Senior Data Scientist - Geocoding (d/f/m)

WHAT IS WORKING AT BETTERMILE LIKE? * We mean it when we say “cutting edge” and have a high level of creative freedom in our everyday work * You will be surrounded by like-minded, driven, skilled, and highly motivated people who are keen to contribute to successful solutions * We mean diversity, and we put it in numbers: 130+ people, 40 languages, 40% female (vs. ø26% in the tech industry), ø33 years of age, and yes, we do have Schlager-Fans among us * We have a very supportive and appreciative working environment with a lot of autonomy, a flat hierarchy, and professional growth possibilities * We work in a hybrid mode, with weekly team days for better collaboration and nurturing interpersonal connections. When onsite, we work in a modern, kid- and pet-friendly Better Space in the heart of Berlin-Kreuzberg * Remote work from anywhere for up to 12 weeks in total per year * 30 vacation days in a 5-day/week working model * Kindergarten grant and a Company Pension scheme * Regular team breakfasts, fitness & wellness classes, company runs, and other events. Fruits, snacks, drinks, and coffee with a variety of milk are a given - but yes, we have them * Outstanding flexibility we are proud of – and, of course, the best colleagues in the world! About the Platform Team Every product team's ability to move fast depends on what's running underneath it. The Platform team builds that foundation for Bettermile, from shared infrastructure and authentication to observability, alerting, and developer tooling, so product teams can build, deploy, operate, and secure their products with confidence. The Platform Team's mission is to empower product teams by minimizing their cognitive load, so they can move faster and deliver more business value to our customers. You will be joining a highly impactful role where you will balance hands-on technical execution (approx. 60%) with strategic stakeholder engagement and mentorship (approx. 40%). Our current tech stack: AWS(CDK, EC2, ECS, S3, EventBridge, SQS, Location Services, API Gateway), Pulumi, Kotlin, New Relic, Snowflake, PagerDuty, GitHub, GitHub Actions, GitHub Copilot and Claude Code. YOU WILL BE TAKING CARE OF * Driving the evolution and stabilization of our central authentication systems * Taking ownership of our infrastructure's observability, scalability, security, and cost-efficiency, in close collaboration with teams and stakeholders * Implementing infrastructure-as-code across our ecosystems * Providing Mentorship for platform senior engineers, guiding their professional growth, and fostering strong cross-team collaboration * Implementing the company vision by championing DevOps culture, and establishing platform engineering best practices across the organization * No echo chambers here! You will challenge technical directions constructively and share your insights openly, while always being a team player who fully backs the squad's final decisions YOU CHECK THESE BOXES * Deep proficiency and hands-on experience operating within AWS environment * Strong background in system operations, specifically with Linux/Unix * Fluency in a programming language such as Python or similar * A minimum of 2 years of proven experience actively mentoring other engineers and putting them on a successful growth path * Security-minded approach to platform engineering * A proven ability to constructively challenge viewpoints while consistently aligning with the best interests of the organization * A strong preference for a hybrid setup that blends remote flexibility with 2 days of on-site collaboration in our Kreuzberg office IT IS AWESOME IF YOU ALSO HAVE * Experience with AI workloads, ML Ops, AWS Bedrock, Agentcore, or Snowflake Cortex * Proven experience leading large-scale infrastructure migration projects spanning multiple teams * AWS certifications TAKE YOUR CHANCE Be a part of shaping a fast-growing industry and make an impact from day one. You’ll have the chance to take on responsibility early, with guidance and support from experienced mentors. We foster a learning culture, collaboration on equal footing, and quick decision-making that moves things forward. Currently, we’re proceeding only with candidates authorized to work in Germany or who already hold a Job Seeker Visa. ABOUT US At Bettermile, we believe delivery shouldn’t be business as usual. We’re transforming last-mile logistics to drive efficiency and create a better delivery experience for everyone. Our geo-based, AI-powered SaaS product handles complex address processing, dynamic routing, and navigation. It is built to manage many stops and multiple constraints. We’re setting a new standard for the last mile and pushing the industry forward, powered by a skilled, international team of tech enthusiasts, logistics experts, and a product suite designed to keep evolving.

Lokasjon:​ Oslo, Norge Arbeidsform:​ På kontoret (mandag–torsdag, begrenset hjemmekontor på fredager etter avtale) Oppdragsperiode:​ 14.09.2026 – 14.09.2028 Stillingsprosent:​ 100 % Søknadsfrist:​ 03.08.2026 Opsjon:​ Inntil 12 måneders forlengelse (6+6 måneder) Oppdragsbeskrivelse​ Vi søker en erfaren Senior Data Scientist til et nasjonalt digitaliseringsinitiativ i helsesektoren. Du vil bidra til utviklingen av et nedlastbart testunivers og en syntetisk datalake, med fokus på maskinlæring, syntetisering av helsedata, datamodellering og sikker databehandling. Rollen innebærer tett samarbeid med tverrfaglige team i et moderne, skybasert utviklingsmiljø for å levere robuste og skalerbare dataløsninger. Ansvarsområder​ • Innhente, avidentifisere og klargjøre datasett for syntetisering. • Utføre eksplorativ dataanalyse samt utvikle datamodeller og meldingsdefinisjoner. • Utvikle og evaluere maskinlæringsmodeller for syntetiske helsedata. • Tilgjengeliggjøre og vedlikeholde datasett i en syntetisk datalake. • Teste, validere og dokumentere leveranser. • Kartlegge tekniske og funksjonelle forbedringer av datalaken. • Konfigurere, utvikle og videreutvikle datalake-løsningen. • Samarbeide med tverrfaglige team for å forbedre plattformens funksjonalitet og datakvalitet. • Bidra til øvrige relevante oppgaver innen data- og plattformutvikling ved behov. Kvalifikasjoner​Må-ha​ • Minimum 8 års relevant yrkeserfaring som seniorkonsulent. • Minimum 5 års dokumentert erfaring som Data Scientist. • Dokumentert kompetanse innen sikkerhet og personvern. • Flytende norsk og engelsk, både muntlig og skriftlig. • Mulighet til å arbeide fysisk i Oslo mandag–torsdag (med begrenset hjemmekontor på fredager etter avtale), og være tilgjengelig gjennom hele oppdragsperioden. Ønskelig​ • Erfaring med maskinlæring. • Erfaring med avidentifisering og syntetisering av store datamengder. • Erfaring med bearbeiding og analyse av store datasett. • Erfaring med databehandling og datamodellering. • Erfaring fra tilsvarende prosjekter innen syntetiske data, dataplattformer eller avansert analyse. • Relevant utdanning, kurs eller sertifiseringer innen Data Science, maskinlæring, kunstig intelligens eller tilsvarende. Om Sperton​ Sperton er et globalt rekrutterings- og konsulentselskap med kontorer i Europa, Asia og Amerika. Vi hjelper virksomheter med å finne og engasjere de beste talentene gjennom fleksible løsninger innen rekruttering, konsulenttjenester og global mobilitet.