Senior Data Scientist
Vanta$150,000 - $220,000/year
- Internship
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Retail MediaIndustries
Requirements
Candidates must possess a minimum of 6 years of experience in the field of data science, along with a Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline. They should have 2-3 years of experience in Ad-Tech or Marketing Science, delivering end-to-end data science products. Advanced expertise in machine learning and time-series forecasting is required, alongside proficiency in Python and SQL. Familiarity with cloud ML workbenches like AWS SageMaker, Azure ML, or GCP AI Platform, along with tools such as Docker, Git, and ML Flow, is also necessary.
Responsibilities
As the Lead Data Scientist, you will own the design and deployment of scalable, production-grade machine learning systems and advanced analytics frameworks, partnering closely with engineering and product to build innovative customer experiences in the retail media space. You will lead high-impact projects spanning forecasting and optimization, championing best practices in experimentation and data-driven decision making. Additionally, you will strategically grow and guide the data science team, setting technical direction and prioritizing roadmap initiatives, and translate complex analytical insights into actionable recommendations for product managers and executives. You will also architect and implement forecasting, measurement, and optimization models, own the lifecycle of ML pipelines, and foster a culture of learning and excellence within the team.
Skills
Machine Learning
Time-Series Forecasting
Statistical Modeling
Experimental Design
Optimization
Data Wrangling
Pipeline Development
Python
SQL
AWS SageMaker
Azure ML
GCP AI Platform
Docker
Git
ML Flow
Vantage
Cloud cost management and optimization platform
About Vantage
Vantage.sh is a platform designed to help businesses manage and optimize their cloud costs. It provides tools for creating detailed reports on cloud expenditure, allowing users to filter and group costs by various dimensions, set monthly budgets, and receive alerts when spending exceeds those budgets. The platform supports multiple cloud providers and offers in-depth resource-level analytics, enabling users to track costs across different subscriptions and projects. A standout feature is its Kubernetes cost optimization, which helps users allocate costs by service and identify areas for efficiency. Vantage.sh operates on a self-serve model, making it easy for businesses to start using the service and save on costs, charging a low fee of 5% of the savings generated. The goal of Vantage.sh is to provide businesses with a clear understanding of their cloud spending and help them find opportunities for cost reduction.
New York City, New YorkHeadquarters
2020Year Founded
$23.8MTotal Funding
SERIES_ACompany Stage
Data & Analytics, Enterprise SoftwareIndustries
51-200Employees