US, Remote
Remote
Senior
Full Time
about 8 hours ago
💰$132,500 - $170,500
AIMachine LearningData ScienceRemoteSenior Level
Requirements
- •BS or higher in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field, or equivalent practical experience
- •7+ years of experience in data science, machine learning, or applied statistics in a production environment
- •Strong foundation in statistical methods and ability to apply them to large, complex datasets
- •Experience developing, evaluating, and deploying machine learning models that drive measurable business impact
- •Strong programming skills in Python and SQL
- •Experience working with modern data platforms including data warehouses, relational databases, and distributed data processing systems
- •Familiarity with MLOps practices and tools for model training, versioning, deployment, monitoring, and lifecycle management
- •Understanding of modern software development workflows including version control (Git), CI/CD pipelines, code review, testing practices, and agile development methodologies
- •Strong ability to communicate complex technical concepts to non-technical stakeholders and collaborate effectively with cross-functional teams
What You'll Do
- •Conduct in-depth analysis of large structured and unstructured datasets to uncover patterns, insights, and signals that inform AI models, knowledge representations, and product decisions
- •Develop and apply statistical methods to identify patterns, trends, and correlations in HR performance, engagement, and behavioral data
- •Design and engineer features from diverse data sources to power machine learning models and construct structured AI context layers and knowledge representations
- •Lead the creation and curation of high-quality labeled datasets including annotation frameworks, evaluation datasets, and ground truth benchmarks
- •Design, develop, and train machine learning models for use cases that enhance customer outcomes and enable intelligent product capabilities
- •Develop data structures, embeddings, and context-enrichment pipelines that enable AI agents to retrieve relevant organizational knowledge, behavioral insights, and product context
- •Partner with engineering teams to operationalize models in production environments ensuring scalability, reliability, and alignment with product architecture
- •Design evaluation frameworks and continuously monitor model performance iterating on models, data pipelines, and features based on experimentation, feedback, and evolving business needs
- •Work closely with product, engineering, and design teams to translate business problems into data science solutions and ensure models deliver measurable value
- •Maintain clear documentation for datasets, modeling approaches, evaluation frameworks, and data pipelines to ensure reproducibility, transparency, and knowledge transfer
- •Design evaluation datasets and benchmarking frameworks to measure AI agent performance including retrieval quality, reasoning accuracy, and contextual relevance
- •Ensure that data used in models and AI systems meets privacy, security, and ethical standards
Nice to Have
- •Experience with large language models (LLMs), embeddings, or AI-driven systems
Benefits
- •Medical, dental, vision with 15Five cost subsidy
- •Employer paid Short-Term, Long-Term Disability, and Term Life
- •Family planning support with enhanced medical plans and consultation programs
- •Inclusive Benefits Stipend
- •Access to mental health and wellness resources
- •Flexible Time Off Program
- •Generous paid leave for new parents
- •Military leave
- •Paid Company Holidays
- •Sabbatical Program
- •401K with 4% Matching after 6 months
- •Remote work
- •Work with experts in leadership, culture, and personal development
About 15five
15Five is the strategic performance management platform that drives action and impact, helping businesses and their people thrive.
San Francisco, CA, US
100 - 250
Business Development