Be an Early Applicant
UP.Labs is a first-of-its-kind venture lab unlocking the future of transportation and mobility.
The Role
As a Senior Data Scientist, you will design and optimize machine learning models, analyze complex datasets, and deploy solutions in production environments while collaborating with engineering teams.
Summary Generated by Built In
Overview:
UPLabs 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 develop and deploy machine learning models that drive product innovation and business insights across our portfolio of startups. Your work will span the full data science lifecycle, from exploratory analysis and feature engineering to model deployment and monitoring in production environments.
Responsibilities:
- Design, build, and optimize machine learning models to solve complex business problems, achieving advanced proficiency in ML algorithms and statistical methods
- Analyze and interpret complex datasets to identify trends and opportunities
- Architect and implement end-to-end data science solutions using modern cloud platforms and big data technologies
- Collaborate with engineering teams to integrate data engineering pipelines that support scalable ML workflows
- Communicate findings clearly to technical and non-technical stakeholders
- Deploy and maintain ML models in production, implementing MLOps best practices for monitoring and continuous improvement
Required Skills:
- Advanced proficiency in Python for data science and machine learning applications
- Strong SQL skills for data extraction, transformation, and analysis
- Solid foundation in statistics and machine learning
- Proven experience with machine learning algorithms including supervised and unsupervised learning techniques
- Working knowledge of AWS cloud services for data science and ML workloads
- Experience with Databricks for collaborative data science and big data processing
- Familiarity with Azure cloud platform and its ML services
- Proficiency in PySpark for distributed data processing and analysis
- Understanding of MLOps practices for model deployment, monitoring, and lifecycle management
Preferred Experience:
- Experience with Generative AI technologies and applications
- Knowledge of data engineering principles and pipeline development
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
Top Skills
AWS
Azure
Databricks
Mlops
Pyspark
Python
SQL
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
We work with global corporate partners to identify the most pressing challenges that they, and broader society, face. Inspired by these complex problems, we launch startups built by proven entrepreneurs, product leaders and technologists that use their agility and talent to develop transformative solutions. After these companies have matured and proven market fit, our corporate partners are able to acquire them, reaping strategic value while enriching their culture and core business. We believe this to be the shortest road to a faster, cleaner, safer, and more accessible future.
Why Work With Us
We launch and innovate 6-8 portfolio organizations a year where no day is the same.
Gallery
