Data Scientist, Product

Valence has built the first-ever, first-to-market AI coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. At Valence, we're not just talking about the future of work – we're actively shaping it. From your first interaction with us, you'll notice we're different. We're not just offering a job; we're inviting you to help transform the future of work by bringing groundbreaking research into real-world applications that will enhance human skills and abilities in the workplace. At Valence, you'll be helping to architect the future of leadership in the age of AI. This opportunity is ideal for those with an insatiable curiosity, a passion for innovation, and a desire to transform how businesses approach leadership. The future of leadership development is waiting, and we want you to help shape it.

The Role: As a Data Scientist on the Product team at Valence, you'll establish the data-driven product development culture of our AI Coach, reporting into our Head of AI. Your role will involve:

• Creating robust data pipelines and conducting rigorous A/B testing.
• Applying state-of-the-art Natural Language Understanding (NLU) techniques to extract insights from coaching interactions.
• Collaborating closely with our engineering, product, and leadership teams to shape our AI coaching platform for Fortune 500 enterprises.

About Valence: We're a Series A B2B SaaS company, backed by Insight Partners, that's pioneering the first generative AI leadership coach for large enterprises. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together. We've been featured in Harvard Business Review, and our client list includes Coca-Cola, Nestlé, General Mills, ServiceNow, AstraZeneca, Experian, and Bristol Myer.

What You'll Do:

• Embed with the product team as a trusted partner, uncovering new ways to improve our AI coaching platform's performance and user experience.
• Develop and maintain data pipelines for unstructured datasets and conduct rigorous A/B testing and statistical analysis to optimize AI models' effectiveness.
• Develop dashboards, reports, and enable the team to answer product questions in a self-serve manner.
• Apply the latest machine learning and deep learning techniques to solve challenges in natural language understanding and generation.
• Collaborate with cross-functional teams to translate data insights into innovative product features and implement quality assurance processes.
• Stay at the forefront of AI advancements, especially in NLP and conversational AI, proposing new applications for our platform.

What We’re Looking For:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; 3+ years of professional experience (or equivalent) in software engineering, data science, or AI/ML development.
• Strong programming skills in Python with relevant experience in data analysis and machine learning libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with large language models and natural language processing techniques, and proficiency in core data technologies (e.g., SQL, Spark).
• Familiarity with cloud platforms (AWS, GCP, or Azure) and their machine learning services; strong background in experimental design, relevant math/statistics.
• Excellent communication skills, able to translate complex technical concepts for non-technical stakeholders.
• Experience navigating highly ambiguous environments.

What You'll Get:

• Ownership of projects and strategic priorities in a learning-focused environment with strong ties to the executive team.
• Options from day one, competitive salary and equity packages, and comprehensive health coverage (medical, dental, and vision) from day 1.
• Provision of anything you need to succeed including learning tools, hardware, and access to a WeWork.
• 401k optionality for US-based employees, generous PTO, company-wide R&R shutdowns, and paid leave for parents. A WFH stipend, phone stipend, and support to work in a preferred space are also included.

Location and Work Environment: Candidates are based in NYC or Toronto and can work hybrid in our offices; this role can also be remote. Candidates must be comfortable working with colleagues in different time zones (UK) and have valid travel documents without work authorization restrictions in the US.

Diversity and Inclusion: We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at jobs@valence.co.