Data Scientist Analytics
Vast.aiLos Angeles, CA, US3 days ago
Job type
- Full-time
Job descriptionDesign, develop, and maintain robust data pipelines for reporting and analytics Extract, clean, and analyze data using advanced SQL in PostgreSQL Perform in-depth statistical analysis to identify trends, patterns, and opportunities Design and analyze A / B tests and other experiments to evaluate product and operational changes Build and maintain dashboards and reports for internal teams in QuickSight Present findings and recommendations to stakeholders in clear, actionable formats Ensure accuracy, consistency, and security of data in all workflows 15 min — Initial screening (virtual) 45 min — Quick dive into Vast, data infrastructure, and analytics challenges (virtual) 2 hours — Meet and greet with applied analytics assessment (on-site) Comprehensive health, dental, vision, and life insurance 401(k) with company match Meaningful early-stage equity Onsite meals, snacks, and close collaboration with founders / tech leaders Ambitious, fast-paced startup culture where initiative is rewarded
Job Description
Job Description
About Us
Vast.ai's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity.
We are a growing and highly motivated team dedicated to an ambitious technical plan. Our structure is flat, our ambitions are out-sized, and leadership is earned by shipping excellence.
We seek data scientists with strong intrinsic drive, a true passion for uncovering insights from data, and a mix of analytical, programming, and communication skills.
LOCATION : On-site at our office in Westwood, Los Angeles.
About the Role
As a Data Scientist at Vast.ai, you will turn data into clear, actionable insights that drive key business and product decisions. You will work closely with teams across the company to define metrics, build data pipelines, design experiments, and deliver compelling analytics to inform strategy. Your work will help guide product development, operational improvements, and customer experience optimization.
Full-time
On-site at our LA office
Tech Stack
PostgreSQL, Python (Pandas, NumPy, Statsmodels), SQL, QuickSight
Ideal Experience
- Programming & Data Tools : Strong programming skills in Python and advanced SQL (PostgreSQL preferred) for data analysis and automation
- Data Analysis : Expertise in exploratory data analysis, data cleaning, feature creation, and summarization
- Statistical Methods : Strong understanding of hypothesis testing, regression analysis, and experimental design
- Data Engineering : Familiarity with ETL / ELT workflows, cloud data warehouses, and large-scale data processing
- Visualization & Storytelling : Ability to create dashboards and visualizations in QuickSight to communicate insights effectively
- Collaboration : Experience partnering with product, engineering, and business stakeholders to define KPIs and drive decisions
Key Responsibilities
Interview Process (≈ 1 week)
After submitting your application, our technical team reviews your credentials. If selected, you'll proceed through the following stages :
Annual Salary Range
$120,000 – $140,000 + equity + benefits
Benefits
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