Drive ML research and production work at The New York Times by framing business goals as ML tasks to deliver relevant insights, predictions, and optimization.

• You will reframe business goals as ML tasks for delivering relevant insights, accurate predictions, and optimization
• You will implement and deploy machine learning research with robustness and reproducibility, with consideration of risks and trade-offs
• You will communicate complex ideas in machine learning while collaborating with colleagues in in engineering, analytics, product management, marketing, editorial, and executive leadership groups

Responsibilities

• You will deploy models behind production APIs or batch processes, collaborate with engineering teams, and integrate into processes throughout The Times
• You will learn new technologies and ML methods, and adapt them into our workflows
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Requirements

• PhD, MS + 2 years experience, or 3+ years experience in statistics, computational social science, applied mathematics, economics, or another quantitative/computational discipline
• 2+ years experience with open source machine learning or statistical analysis tools
• 2+ years coding experience in Python
• 1+ year experience in SQL and manipulating large structured or unstructured datasets for analysis
• 1+ year experience collaborating with multiple developers on a shared codebase

Preferred

• 1+ years of experience building statistical and causal inference models
• Familiarity with digital marketing concepts like Cost Per Order (CPO), Lifetime Value (LTV), and the marketing funnel
• Familiarity with experimental design and randomized control trials
• Familiarity with prescriptive machine learning
• Familiarity with modern methods for Marketing Mix Modeling (MMMs)

Benefits

• medical, dental and vision benefits
• Flexible Spending Accounts (F.S.A.s)
• a company-matching 401(k) plan
• paid vacation
• paid sick days
• paid parental leave
• tuition reimbursement and professional development programs