Design and implement the statistical models and ML algorithms that drive our market analysis
Architect how models are trained, versioned, and served in a production environment
Partner with the product team to design the data foundations for every new feature
Act as a force multiplier for our full-stack engineers
Define the HelloData standard for data integrity, pipeline observability, and algorithmic transparency

Requirements

Bachelor’s in Computer Science, Engineering, Machine Learning, or a related field; Master’s preferred
5-10+ yrs relevant Machine Learning experience
Demonstrated success operationalizing ML models within early-stage product ecosystems/start-up SaaS orgs
Strong foundation in statistics, calculus, and linear algebra
Expert-level Python
Deep experience with libraries such as Scikit-learn, PyTorch, and Pandas
Expert-level PostgreSQL and BigQuery
Experience building and managing ML pipelines on GCP (Vertex AI, Cloud Run, BigQuery)
Proficient in Node/TypeScript to ensure data services integration

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Machine Learningstatistical modelsML algorithmsPythonScikit-learnPyTorchPandasPostgreSQLBigQueryML pipelines

collaborationcommunicationproblem-solvingleadershipdata integrityobservabilityalgorithmic transparency

Bachelor’s in Computer ScienceBachelor’s in EngineeringBachelor’s in Machine LearningMaster’s in related field