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Posted 17 May, 2026

Staff Data Scientist

Veracity
India Full Time
Reference: 365_621153_25-02433

Staff Data Scientist
Position: FTE, Remote, India
Availability-Immediate-1 week


Overlap: 4 hours with PST (Pacific Standard Time)
Candidate proficiency level: Senior (8+)

Your Mission:

  • Lead groundbreaking projects that leverage AI and machine learning techniques to optimize operations and drive business success.
  • Take ownership of the entire lifecycle from model design, training, product ionization, and incremental enhancement.
  • Foster a culture of experimentation by designing and scaling rigorous A/B tests when needed to measure business impact.
  • Educate internal analytics teams on current and emerging research, technologies, and best practices for leveraging ML and LLM in product design and development.
  • Collaborate with AI Platform engineers to identify upcoming requirements and continuously evolve the AI platform offering.
  • Establish best practices in data science and mentor future team members to maintain high standards in data governance and insight generation.
  • Communicate effectively with stakeholders across various technical levels, articulating insights and recommendations about your solutions.
  • Cultivate trust with stakeholders by consistently addressing their true fundamental needs and challenges.

A Little More About You:

  • 6+ years of data science, machine learning/statistical modeling experience.
  • Experience implementing theoretical models in an applied environment.
  • M.S. or Ph.D. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field.
  • Strong interest in delivering data-driven solutions using ML and AI.
  • Proficiency in data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software.
  • Solid understanding of statistics, machine learning, operations research, and causal inference. Knowledge of NLP or Bayesian testing is a plus.
  • Insatiable curiosity and bias toward action.

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