Data Scientist
External job listingat Digitona-LLC
Data Scientist role focused on turning data into decisions and building production ML models and intelligent solutions for real-world challenges.
Salary
Not provided
Location
New York, United States
Employment type
Full time
Workplace
Not provided
Data Scientist
New York, United States
Job description
About the role
Join a high-impact team that turns data into decisions and builds intelligent solutions for real-world challenges.
Requirements
- 2–10 years of applied Data Science experience.
- Proven experience building and deploying ML models into production.
- Strong expertise in Python and SQL.
- Experience with predictive modeling, including LTV, propensity, lookalike, and estimation models.
- Strong Data Engineering fundamentals, including ETL pipelines, data cleaning, and data modeling.
- Experience at a VC-backed startup, leading tech company, hedge fund, or similar high-performance environment.
- MS or PhD in a quantitative field such as Data Science, Machine Learning, Statistics, or Mathematics.
- A technical degree from a top-ranked university is preferred.
- Available to work 5 days/week on-site in New York City.
Responsibilities
- Turn data into decisions and build intelligent solutions for real-world challenges.
- Build and deploy ML models into production.
- Deliver real-world, production-ready AI and Machine Learning solutions.
How to apply
Apply directly on CazVid.
Key facts
- Requires 2–10 years of applied Data Science experience.
- Strong expertise in Python and SQL is required.
- Available to work 5 days/week on-site in New York City.
- Preferred skills include Dagster, dbt, Airflow, Databricks, Snowflake, or Amazon Redshift.
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Frequently asked questions
What does the role involve?
The role turns data into decisions and builds intelligent solutions for real-world challenges. It includes building and deploying ML models into production.
What qualifications are required?
The listing asks for 2–10 years of applied Data Science experience, Python and SQL expertise, and an MS or PhD in a quantitative field.
How can I apply?
Apply directly on CazVid.