Principal Data Scientist

About the Role

Key Responsibilities

• Define and drive the vision and strategy for the Data Science Group, aligning with overall business objectives and enterprise-wide initiatives. Ability to take research whitepapers to production.
• Oversee the development and deployment of high-impact AI products like Autonomous Coding and RTS Checkout, ensuring timely and high-quality delivery.
• Partner with product, engineering, and business teams to integrate data science solutions into enterprise-wide initiatives and drive measurable impact.
• Establish processes, tools, and best practices to scale data science operations and improve team efficiency.
• Lead efforts in research and development to stay at the forefront of machine learning, AI, and data science advancements.
• Guide the team in solving complex technical problems, including cloud-based model deployment and large-scale data engineering.
• Ensure the data science team delivers products and insights that contribute to achieving projected revenue goals.
• Act as a key liaison between the Data Science Group and senior leadership, ensuring alignment and reporting on progress.
• Anticipate and mitigate risks related to data science initiatives, including scalability, technical challenges, and talent retention.

Requirements

• Master's or Ph.D. in Data Science, Machine Learning, Computer Science, Statistics, or a related field.
• 10+ years of experience in data science, machine learning, or AI.
• Demonstrated experience of machine learning, statistical modeling.
• Experience with AI frameworks include PyTorch, LLMs, Foundational Language Model Training, Generative AI, Vector Databases, Transformers, State Space Models, and Deep Learning architectures.
• Proven experience aligning technical initiatives with business goals and driving enterprise-wide impact.
• Experience in team building, mentorship, and talent development fostering a high-performing and innovative team.
• Demonstrated experience managing complex, large-scale projects with multiple stakeholders and tight deadlines.

Nice to Have

• Proven excellent cross-functional collaboration skills, with experience working across product, engineering, and business teams.
• Proven solid communication and presentation skills for engaging with senior leadership and stakeholders.
• Proven track record of driving research and innovation in data science to solve complex business problems.
• Demonstrated ability to deliver measurable business outcomes, such as scaling AI products to achieve revenue targets.
• Experience with cloud-based model deployment (e.g., AWS, Azure, GCP).

Qualifications

• Educational background including a Master's or Ph.D. in relevant fields.

Benefits & Perks

• A comprehensive benefits package.
• Incentive and recognition programs.
• Equity stock purchase and 401k contribution.
• Flexible remote work within the U.S.