Sr Data Scientist /Machine Learning Engineer
Overview
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.Technical Challenge
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.Responsibilities
- Design, develop, and deploy machine learning models and data science solutions to solve complex business problems across our venture portfolio
- Build and maintain scalable data pipelines and analytics infrastructure using Python and Azure cloud services
- Implement generative AI solutions and integrate large language models into products to enhance user experiences and automate workflows
- Collaborate with cross-functional teams to translate business requirements into technical data science solutions
- Conduct exploratory data analysis, feature engineering, and model evaluation to ensure high-quality, production-ready solutions
Required Skills
- Strong expertise in data science and machine learning methodologies, with demonstrated ability to build and deploy models in production environments
- Advanced proficiency in Python programming for data analysis, machine learning, and automation
- Solid experience with generative AI technologies and frameworks, including prompt engineering and LLM integration
- Working knowledge of Microsoft Azure cloud platform for deploying and scaling data science solutions
- Experience with modern data science libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or similar tools
- Strong understanding of statistical analysis, time series analysis, experimental design, and data visualization techniques
Preferred Skills
- Experience with geospatial analysis using tools such as ESRI ArcGIS products or geopandas