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Jobs via Dice
Jobs via Dice

Ranking Data Scientist (ML / Recommendation Systems)

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Data
Machine learning
Testing
+20

Visa

U.S. visa required

Permanent role
a month ago
Apply now

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Anagha Techno Soft, is seeking the following. Apply via Dice today!

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

About Jobs via Dice

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