Sr Staff Data Scientist

About the Role

Key Responsibilities

• Identify high-impact opportunities where data science can drive significant business value or advance technology development in the company
• Define and drive the data science long term research roadmap in alignment with company goals
• Design, develop, and deploy advanced statistical/ML models with problem driven mindset and proactive risk management
• Stay abreast of emerging AI/ML techniques and assess their potential business applications
• Partner with stakeholders across product, engineering, business, and executive teams to define data needs and translate business problems into data science solutions
• Effectively communicate insights and technical concepts to both technical and non-technical audiences
• Mentor and guide junior data scientists
• Establish best practices in data science methodologies, tools, and workflows
• Collaborate with engineering teams to ensure data quality, availability, and reliability, design model rolling out plan, and monitoring dashboard
• Recommend and help implement scalable data and ML infrastructure

Requirements

• PhD or Master's degree in computer science, statistics, mathematics or a related field
• 10+ years of experience in data science (preferred in ad tech), with a strong portfolio of projects that have driven business outcomes
• Proven ability to design, develop, and deliver end-to-end data science solutions—from problem scoping and data exploration to modeling, validation, deployment, and post-deployment monitoring
• Proven experience translating business needs into scalable, data-driven solutions that are successfully implemented in production environments
• Experience collaborating cross-functionally with product, engineering, and business stakeholders to ensure alignment and impact at every stage of the solution lifecycle
• Experience running heavy workloads on distributed computing clusters (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets
• Experience with modern machine learning frameworks (e.g., TensorFlow, PyTorch, XGBoost). Experience in LLM tools is a plus

Nice to Have

• Experience as a tech lead
• Experience in ad tech
• Experience with emerging AI/ML techniques and tools

Qualifications

• Educational background including a PhD or Master's degree in relevant fields

Benefits & Perks

• Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents
• Retirement benefits such as a 401k plan and company match
• Short and long-term disability coverage
• Basic life insurance
• Well-being benefits
• Reimbursement for certain tuition expenses
• Parental leave
• Sick time of 1 hour per 30 hours worked
• Vacation time for full-time employees up to 120 hours in the first year and 160 hours thereafter
• Around 13 paid holidays per year
• Stock purchase plan at a discount