Related skills
sql python machine learning mlops data pipelines📋 Description
- Analyze large structured and unstructured data to uncover patterns for AI models.
- Apply statistical methods to HR data to identify patterns and insights.
- Design features and context representations to power ML systems.
- Lead creation and curation of labeled datasets for training.
- Develop, train, and deploy ML models with business impact.
- Collaborate with product and engineering to translate problems into data science solutions.
🎯 Requirements
- BS or higher in CS, Stats, Math, Physics, or related quantitative field.
- 7+ years in data science, ML, or applied statistics in production.
- Strong statistical foundation and ability to apply methods on large datasets.
- Experience building, evaluating, and deploying ML models; LLMs/embeddings a plus.
- Strong Python and SQL skills; building data pipelines and training models.
- Experience with data warehouses, relational DBs, and distributed processing.
🎁 Benefits
- Medical, dental, vision with 15Five cost subsidy.
- Employer-paid disability and term life insurance.
- Flexible time off, parental leave, and sabbatical options.
- Remote work and wellbeing resources.
- 401K with 4% matching after 6 months.
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