Associate Data Scientist: ML in Production (Remote)

Red Ventures; Town of Charlotte (NY); Hybrid; USD 100,000 - 115,000; Full time

Benefits offered by this job

Health Insurance Coverage

Life Insurance

Disability Insurance

401(k) with match

Paid Time Off (PTO)

Job summary

Red Ventures’ Home Data Science team seeks an Associate Data Scientist to contribute to ML/AI solutions that drive business outcomes for Home Services clients. The role blends hands-on model work with collaboration across data scientists, engineers, and stakeholders.

You will work on end-to-end ML projects, from data gathering to model deployment, while operating in a hybrid schedule based in Charlotte, NC with remote Mondays and Fridays.

Qualifications

• Master’s degree in a quantitative field or Bachelor’s with 1–2 years of professional experience
• Foundational data science techniques: classification, regression, clustering
• Proficiency in Python and SQL; comfortable with ML workflows and experimentation

Responsibilities

• Contribute to development and deployment of ML/AI solutions in production
• Work across data lifecycle from data prep to model tracking and impact assessment
• Collaborate with data scientists, engineers, and business stakeholders to translate problems into data-science work
• Communicate progress, risks, and results to technical and non-technical audiences
• Participate in code reviews and pair programming to meet team standards
• Develop proficiency across common ML techniques and deployment tools

Skills

Python

SQL

Generative AI

ML deployment

Version control

CI/CD

Databricks

AWS

Data analysis

Education

Master's degree

Bachelor's degree

Tools

Databricks

AWS

Job description

Red Ventures’ Home Data Science team seeks an Associate Data Scientist to contribute to ML/AI solutions that drive business outcomes for Home Services clients. The role blends hands-on model work with collaboration across data scientists, engineers, and stakeholders.

You will work on end-to-end ML projects, from data gathering to model deployment, while operating in a hybrid schedule based in Charlotte, NC with remote Mondays and Fridays.