Staff Data Scientist

Staff Data Scientist

Data Team

                    

  Prolific

Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.

The role

We're looking for a Staff Data Scientist to join our team and elevate our data science execution to the next level. Reporting to the VP of Data, Research & Analytics, this role will focus on leading impactful projects, mentoring junior data scientists, and raising the technical standards across the team. You’ll work cross-functionally with product and engineering teams, driving initiatives that unlock the power of our vast datasets. With opportunities to work on cutting-edge Machine Learning & AI applications, this role is perfect for someone ready to shape the future of data science at Prolific.

What you’ll bring to the role

• Mastery of Data Science Stack: You're fluent in Python/R and SQL, with deep expertise in data science libraries (e.g. scikit-learn, pandas). You're familiar with MLOps and know how to take models from development to production.
• Modeling Expert: Your toolkit spans from classical statistical methods to state-of-the-art machine learning techniques. You know how to choose and apply the right tool for each unique problem.
• Big Data Proficiency: You're comfortable working with large-scale data using technologies (e.g. Spark), and you understand the challenges of scaling data processing pipelines.
• Statistical Rigor: You have a strong foundation in statistics and know how to design and analyze experiments to drive data-informed decisions.
• Data Storytelling: You excel at turning complex analyses into clear, compelling narratives through visualization and effective communication.
• Project Leadership: You have a track record of successfully leading complex data science initiatives that deliver tangible business value.
• Bar Raiser: You're passionate about mentoring other data scientists and raising the technical bar for the entire team.
• Product-Driven Mindset: You thrive in fast-paced environments and know how to balance speed with quality to drive rapid product impact.
• Engineering Best Practices: You're well-versed in software engineering principles like version control, testing, and code review, ensuring your team produces robust, maintainable code.
• Influence Without Authority: You can effectively communicate with and influence stakeholders across the organization, from engineers to executives.
• Clear Communication: You have a knack for breaking down complex technical concepts into easily digestible explanations for diverse audiences.
• Effective Prioritization: You're skilled at managing multiple competing priorities and helping your team do the same, always focusing on high-impact work.

What you’ll be doing in the role 

• Architecting Data Science Solutions: Lead the conceptualization and planning of data science initiatives that align with and drive key business objectives.
• Solving Complex Data Challenges: Spearhead the development and implementation of sophisticated data models and algorithms, diving into hands-on coding for the most critical components.
• Elevating Team Standards: Guide the technical direction of the team through thoughtful code reviews and targeted mentorship, fostering a culture of excellence and continuous improvement.
• Shaping Product Strategy: Collaborate closely with product managers to identify opportunities where data science can drive product innovation and user value.
• Influencing Business Decisions: Synthesize complex analyses into actionable insights, presenting compelling data-driven narratives to inform senior leadership's strategic decisions.
• Advancing Technical Capabilities: Evaluate and implement cutting-edge data science methodologies and tools, ensuring the team stays at the forefront of the field.
• Optimizing Data Infrastructure: Partner with data engineers to enhance data pipelines, logging systems, and MLOps practices, creating a robust foundation for advanced analytics and modeling.
• Cultivating Data Science Knowledge: Author technical documentation and thought leadership pieces to disseminate key insights, best practices, and learnings across the organization.

Why Prolific is a great place to work

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity.

Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.

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