Data and Machine Learning (ML) are revolutionizing the way of doing business at a global scale. sennder is a European digital freight forwarder with a data-centric problem-solving approach to build the next generation of supply chain and road logistics services. Do you want to help us to shape the future together? We value humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives our innovation and we offer a collaborative, dynamic and international work environment. Just be yourself.
We are excited to meet you and for you to join us in shaping the future of the logistics industry in Europe. You will be joining our central Machine Learning Engineering team as part of sennder's Data department. The department's mission is to "Relentlessly build exceptional value-adding products that inspire data-centricity in everything sennder does". All Data dept. teams are multidisciplinary (e.g.: data engineering, BI/analytics, MLOps, Data Science). The teams' scope ranges from creating a unique technological backbone for our data platform to developing advanced predictive and prescriptive analytics services. Our proprietary data platform enables our operation teams to work in a distributed analytics-as-a-service ecosystem where everyone is empowered to be data driven in every decision they make. Our proprietary predictive and prescriptive analytics services bring us an unprecedented competitive advantage in terms of business automation across the industry. The obtained insights are then translated into a better customer experience, enabling a scalability flywheel where customers and data grow exponentially with our revenue stream.
YOUR MISSIONOwn product delivery with a top-notch highly specialized team to provide product functionality while meeting and/or exceeding our operational KPI targets;Drive the technical backlog of our automated ML-based shipper-to-carrier assignment experience and its underlying technology, including external data services, feature construction pipelines, embedded heuristics, machine learning services and proprietary technology;Champion data governance practices across the organization, contributing to pushing data quality to the next level while aligning stakeholders to take business decisions in a data driven fashion;Promote teamwork and Agility as the easiest path for team success;Manage external data providers and define a roadmap for their testing/onboarding/offboarding and related impact on the performance on our ML technology and consequent business impact;Be customer-centered by driving Product discovery on the ML System Design space to build the right stuff;Define success criteria, goals, and metrics for your initiatives together with the technical and operations teams;Set up the right bridges and ways of working towards working truly cross-functionally with Operations teams on designing ML products;Prioritize ruthlessly based on your teams' focus metrics with top-notch communication from/to/with stakeholders, guaranteeing the team's focus and scalable value delivery. YOUR PROFILEHighly Technical Product Experience: 2+ years of experience leading highly technical product development (machine learning, computer vision or NLP);Experience having worked with end to end Machine Learning product delivery, lifecycle management and the related product tradeoffs;Strong background on leading problem solving on cross-functional teams using Agile processes (e.g.: Scrum, Kanban, Scrumban, XP);Excellent verbal and written communication skills, with the ability to inspire and influence team members with the vision;An empathetic person with a bridge-building mindset;Able to make informed decisions based on qualitative user insights and quantitative user data by conducting research, A/B tests, and analyzing operations data;Fluent in English; BONUSBackground as individual contributor on Data Science and Machine Learning space;Proven track record of delivering results in a fast-paced, dynamic, tech-first environment and driving innovation on behalf of internal/external stakeholders;Experience on driving data products within AWS cloud platform;In-depth knowledge of modern software development and machine learning engineering practices;Exposure to OKR-based strategy canvas;M.S. (or higher degree) in Computer Science; ABOUT sennderSennder is moving trucks with the power of data to unlock endless and sustainable capacity at unparalleled quality. Through our proprietary transportation operating system, built by our in-house tech teams, we not only connect shippers to our fleet of thousands of trucks, but also improve how they move products in sustainable, cost-efficient, and transparent ways - making the logistics industry fit for the future. In a traditional industry, we're growing.
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