Sr Data Scientist /Machine Learning Engineer

UP.Labs

5d • Remote

About The Position

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.

UP.LABS SUMMARY

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.
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.
Location: Remote

Requirements

• 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

Nice To Haves

• Experience with geospatial analysis using tools such as ESRI ArcGIS products or geopandas

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed