Valence is hiring a
Data Scientist

Summary

Join Valence as a Data Scientist on the Product team to shape the future of AI leadership coaching for Fortune 500 enterprises. Collaborate closely with cross-functional teams to improve our AI coaching platform's performance and user experience, while enjoying ownership of projects, competitive salary, comprehensive health coverage, generous PTO, WFH stipend, and more.

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
• 3+ years of professional experience (or equivalent) in software engineering, data science, AI/ML development
• Strong programming skills in Python
• 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

Responsibilities

• 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

Benefits

• 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