HR Force International Private Limited is hiring a
Data Scientist in United States

Logo of HR Force International Private Limited
Data Scientist
🏢 HR Force International Private Limited
💵 ~$150k-$160k
📍United States
📅 Posted on Jun 12, 2024

Summary

The Data Scientist Consultant at Programmer Force will analyze vast datasets to inform strategic decisions, improve product offerings, and understand market dynamics for the company's U.S. market entry. The role requires a Master’s or Ph.D. in Computer Science, Statistics, Applied Mathematics, or related field with 5+ years of experience in Data Scientist or Data Analyst roles, preferably in RegTech, FinTech, or CrimeTech sectors.

Requirements

  • Master’s or Ph.D. in Computer Science, Statistics, Applied Mathematics, or related field
  • 5+ years of experience in a Data Scientist or Data Analyst role, preferably with exposure to the RegTech, FinTech, or CrimeTech sectors
  • Strong problem-solving skills with an emphasis on product development
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • Proven ability to communicate findings clearly to both technical and non-technical audiences

Responsibilities

  • Collaborate with the VP of Growth and product teams to identify opportunities for leveraging company data to drive business solutions and product innovation
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes
  • Develop custom data models and algorithms to apply to data sets, utilizing machine learning and other techniques
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop A/B testing frameworks and test model quality
  • Coordinate with different functional teams to implement models and monitor outcomes

Benefits

  • Strategic Impact
  • Potential for Permanent Role
  • Innovative Projects
  • Collaborative Environment
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