Valence
Data Scientist, Product
Valence, New York, NY
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. And we'll be honest - this is not for everyone. But for those with an insatiable curiosity, a passion for innovation, and a desire to transform how businesses approach leadership, this could be the career-defining opportunity you've been waiting for.
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, conducting rigorous A/B testing, and applying state-of-the-art Natural Language Understanding (NLU) techniques to extract insights from coaching interactions. Collaborating closely with our engineering, product and leadership team, you'll have a direct impact on shaping our AI coaching platform for Fortune 500 enterprises, combining the excitement of a fast-paced startup with the opportunity to work on transformative AI technology.
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 reads like a who's who of global business, including Coca-Cola, Nestlé, General Mills, ServiceNow, AstraZeneca, Experian, and Bristol Myer
What You'll Do
What We're Looking For
What You'll Get
Location and Work Environment
This a remote role, unless candidates are based in NYC or Toronto and then are welcome to work in our offices. 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 [redacted].
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. And we'll be honest - this is not for everyone. But for those with an insatiable curiosity, a passion for innovation, and a desire to transform how businesses approach leadership, this could be the career-defining opportunity you've been waiting for.
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, conducting rigorous A/B testing, and applying state-of-the-art Natural Language Understanding (NLU) techniques to extract insights from coaching interactions. Collaborating closely with our engineering, product and leadership team, you'll have a direct impact on shaping our AI coaching platform for Fortune 500 enterprises, combining the excitement of a fast-paced startup with the opportunity to work on transformative AI technology.
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 reads like a who's who of global business, including 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 to process unstructured datasets
- Conduct rigorous A/B testing and statistical analysis to evaluate and optimize our AI models' effectiveness
- Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product questions in a self-serve way
- Apply the latest state-of-the-art machine learning and deep learning techniques to solve challenging problems in natural language understanding and generation
- Collaborate with cross-functional teams to translate data insights into innovative product features
- Implement robust testing and quality assurance processes for our AI models and data pipelines
- Stay at the forefront of AI advancements, particularly in NLP and conversational AI, and propose new applications for our platform
What We're Looking For
- Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience
- 3+ years of professional experience (or equivalent) in software engineering, data science, AI/ML development. This could include a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field, with a focus on machine learning or NLP.
- Strong programming skills in Python, with extensive experience in data analysis and machine learning libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
- Hands-on experience working with large language models and natural language processing techniques
- Proficiency and experience with 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 including relevant math / statistics
- Excellent communication skills with demonstrated ability to translate complex technical concepts for non-technical stakeholders
- Experience navigating highly ambiguous environments
What You'll Get
- Ownership of projects and strategic priorities regardless of seniority in our learning-focused environment.
- Strong ties to the executive team, a culture of transparency and engagement with strategic decisions.
- Options from day one, which means you will be on the ownership track right away.
- Competitive salary and equity packages.
- Comprehensive health coverage (medical, dental, and vision) from day 1.
- Provision of anything you need to be successful - learning tools, hardware, office equipment, software, access to a WeWork etc.
- 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 We Work or other space as preferred.
Location and Work Environment
This a remote role, unless candidates are based in NYC or Toronto and then are welcome to work in our offices. 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 [redacted].