Valence has built the firsttomarket AI native coaching platform for enterprise offering personalized expert and humanlike guidance & support to any leader or employee. At Valence were not just talking about the future of work were actively shaping it.
From your first interaction with us youll notice were different. By working here you wont just implement solutions for our clients; youll be helping to architect the future of leadership in the age of generative AI. And well be honest this is not for everyone. But for those with an insatiable desire to work fast on complex unsolved challenges with some of the best talent in tech this could be the careerdefining opportunity youve been waiting for.
The Role
As a Data Scientist on the Product team at Valence youll establish the datadriven 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 stateoftheart Natural Language Understanding (NLU) techniques to extract insights from coaching interactions. Collaborating closely with our engineering product and leadership team youll have a direct impact on shaping our AI coaching platform for Fortune 500 enterprises combining the excitement of a fastpaced startup with the opportunity to work on transformative AI technology.
About Valence
Were a Series A B2B SaaS company backed by Insight Partners thats pioneering the first generative AI leadership coach for large enterprises. Our mission is to transform how the worlds biggest companies approach learning and development helping teams work better together. Weve been featured in Harvard Business Review and our client list reads like a whos who of global business including CocaCola Nestl General Mills ServiceNow AstraZeneca Experian and Bristol Myer
What Youll Do
Embed with the product team as a trusted partner uncovering new ways to improve our AI coaching platforms 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 selfserve way
Apply the latest stateoftheart machine learning and deep learning techniques to solve challenging problems in natural language understanding and generation
Collaborate with crossfunctional 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 Were Looking For
Bachelors 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 Masters 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 Scikitlearn TensorFlow PyTorch)
Handson 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 nontechnical stakeholders
Ownership of projects and strategic priorities regardless of seniority in our learningfocused 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 companywide 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 role is 3 days a week (Tues Thursday) minimum in office in Union Square at 33 Irving Place. 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
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