Ranking Data Scientist (ML / Recommendation Systems)

Overview

Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

A/B Testing
Algorithms
Analytical Skill
Collaboration
Computer Science
Computer Vision
DICE
Dashboard
Data Analysis
Facebook
Leadership
Machine Learning (ML)
Mathematics
Predictive Modelling
Product Engineering
PyTorch
Python
Recruiting
SQL
Social Media
Statistics
TensorFlow
SEO
Video

Job Details

Job Title: Ranking Data Scientist (ML / Recommendation Systems)

Location: Remote – US
Duration: Contract 
Rate: Market Rate

Job Overview

We are hiring a Ranking Data Scientist with strong hands-on experience in machine learning and predictive modeling to support large-scale content ranking and recommendation systems. The role focuses on analyzing complex datasets, building ML models, and driving measurable improvements in engagement and product performance.

Required Skills (Must-Have)

  • 5+ years of experience as a Data Scientist / ML Scientist

  • Hands-on experience building machine learning & predictive models

  • Strong proficiency in Python and SQL

  • Experience with PyTorch and/or TensorFlow

  • Experience with recommendation systems, ranking models, or feed optimization

  • Strong background in experimentation / A/B testing

  • Experience working with large-scale datasets

  • Ability to collaborate with cross-functional teams (Product, Engineering, Stakeholders)

Preferred / Nice-to-Have Skills

  • Experience with Computer Vision or image/video-based models

  • Background in Social Media, Content Platforms, or AdTech

  • Prior experience with Meta / Facebook / Instagram

  • PhD in Computer Science, Machine Learning, Statistics, or related field

Key Responsibilities

  • Design, develop, and optimize ML models for ranking and recommendation systems

  • Perform exploratory data analysis on high-dimensional datasets

  • Build and evaluate advanced algorithms to improve content engagement and shareability

  • Design and analyze experiments (A/B testing)

  • Partner with engineers to deploy models into production

  • Monitor key metrics and conduct performance investigations

  • Provide data insights, dashboards, and leadership reporting

  • Support ad-hoc analytical and experimentation requests

Education

  • Master’s degree in Computer Science, Mathematics, Statistics, or related field (PhD preferred)

  • Equivalent practical experience will be considered

Keywords (for Dice Search Optimization)

Machine Learning, Ranking Models, Recommendation Systems, Data Scientist, Python, SQL, PyTorch, TensorFlow, Computer Vision, A/B Testing, Predictive Modeling, Large-Scale Data, Social Media, Meta

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Anagha Techno Soft