Sr Data Scientist /Machine Learning Engineer at UP.Labs
United States
<h3 style="text-align: justify;"><strong style="background-color: transparent; color: rgb(0, 0, 0);">Overview</strong></h3><div><span style="background-color: transparent; color: rgb(0, 0, 0);">UP.Labs is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products. We're seeking a highly skilled professional to join our growing team and contribute to our mission of launching the next wave of successful startups.</span></div><div><br></div><h3><strong style="background-color: transparent; color: rgb(0, 0, 0);">Technical Challenge</strong></h3><div><span style="background-color: transparent; color: rgb(0, 0, 0);">As a Data Scientist, you will leverage advanced analytics and machine learning techniques to extract actionable insights from complex datasets and build predictive models that drive strategic decision-making. You will work with cutting-edge technologies to develop data-driven solutions that power our portfolio of mobility-focused ventures.</span></div><div><br></div><h3><strong style="background-color: transparent; color: rgb(0, 0, 0);">Responsibilities</strong></h3><ul><li class=""><span style="background-color: transparent;">Design, develop, and deploy machine learning models and data science solutions to solve complex business problems across our venture portfolio</span></li><li class=""><span style="background-color: transparent;">Build and maintain scalable data pipelines and analytics infrastructure using Python and Azure cloud services</span></li><li class=""><span style="background-color: transparent;">Implement generative AI solutions and integrate large language models into products to enhance user experiences and automate workflows</span></li><li class=""><span style="background-color: transparent;">Collaborate with cross-functional teams to translate business requirements into technical data science solutions</span></li><li class=""><span style="background-color: transparent;">Conduct exploratory data analysis, feature engineering, and model evaluation to ensure high-quality, production-ready solutions</span></li></ul><h2><br></h2><h3><strong style="background-color: transparent; color: rgb(0, 0, 0);">Required Skills</strong></h3><ul><li class=""><span style="background-color: transparent;">Strong expertise in data science and machine learning methodologies, with demonstrated ability to build and deploy models in production environments</span></li><li class=""><span style="background-color: transparent;">Advanced proficiency in Python programming for data analysis, machine learning, and automation</span></li><li class=""><span style="background-color: transparent;">Solid experience with generative AI technologies and frameworks, including prompt engineering and LLM integration</span></li><li class=""><span style="background-color: transparent;">Working knowledge of Microsoft Azure cloud platform for deploying and scaling data science solutions</span></li><li class=""><span style="background-color: transparent;">Experience with modern data science libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or similar tools</span></li><li class=""><span style="background-color: transparent;">Strong understanding of statistical analysis, time series analysis, experimental design, and data visualization techniques</span></li></ul><h2><br></h2><h3><strong style="background-color: transparent; color: rgb(0, 0, 0);"><span class="ql-cursor"></span>Preferred Skills</strong></h3><ul><li class=""><span style="background-color: transparent;">Experience with geospatial analysis using tools such as ESRI ArcGIS products or geopandas</span></li></ul><div><br></div><h3><strong style="background-color: transparent; color: rgb(0, 0, 0);">UP.Labs Summary</strong></h3><div><span style="background-color: transparent; color: rgb(0, 0, 0);">We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies.</span></div><div><span style="background-color: transparent; color: rgb(0, 0, 0);">We work with corporate investors over a multi-year period to launch a portfolio of mobility-focused ventures. Our team is dedicated to the first year of a new venture's life cycle, from ideation to minimum viable product build (and beyond) to recruiting and hiring the full-time team who will scale the business.</span></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Location: Remote</strong></div><div><br></div><div style="text-align: justify;"><br></div>
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