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
