6+ years of data science, machine learning/statistical modeling experience
MS or PhD in Statistics, Computer Science, Mathematics, Operations Research, Physics, Economics, or other quantitative field
Proficiency in SQL and Python, and experience with statistical/mathematical software
Solid understanding of statistics, machine learning, operations research, and causal inference; knowledge of NLP or Bayesian testing is a plus
Requirements:
Lead AI/ML projects to optimize operations and drive business success
Own the full lifecycle from model design and training to productionization and incremental enhancement
Design and scale rigorous A/B tests to measure business impact
Educate internal analytics teams and establish best practices in data science, governance, and mentorship to maintain high standards
Job description
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.
