Machine Learning Scientist

Summary

The job is for a Machine Learning Scientist at Whatnot, a fast-growing livestream shopping platform. The role involves leading initiatives across multiple product areas, developing and deploying machine learning solutions, and working with various teams to identify improvements. A bachelor's degree in Computer Science or related field and 5+ years of experience are required.

Requirements

• Bachelor’s degree in Computer Science, a related field, or equivalent work experience
• 5+ years of experience
• Experience leading work to develop and deploy machine learning- and data-based solutions in production
• Extensive experience with Python and SQL for data science, machine learning, and software development e.g. numpy, scipy, pandas, scikit-learn, PyTorch, LightGBM, Flask, FastAPI, Docker, Jupyter
• Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams
• Comfortability with data warehouses and transformation tools such as Snowflake, dbt, Dagster
• Proficiency and experience in applied statistics and machine learning fields e.g. Experimentation and Causal Analysis, Recommendations, Fraud & Anomaly Detection, Natural Language, Computer Vision
• Firm grasp of visualization tools, interactive and self-serving, such as dashboards and notebooks
• Professionalism around collaborating in a remote working environment and well tested reproducible work
• Above average documentation and communication skills

Responsibilities

• Build and help set direction across the entire machine learning development process to implement machine learning algorithms in production
• Partner closely across the business to identify improvements and influence decisions using data science methodologies and tools
• Develop new production machine learning algorithms and systems that enrich the app experience with machine learning-powered experiences
• Contribute across the data science and machine learning development stack: idea development, opportunity sizing, prototyping, testing, and deployment
• Design and implement end-to-end data pipelines and data systems that support MLOps and business processes
• Build high quality communication devices such as dashboards, notebooks, documents, presentations to convey insights across a broad audience

Benefits

• Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
• Health Insurance options including Medical, Dental, Vision
• Work From Home Support
• $1,000 home office setup allowance
• $150 monthly allowance for cell phone and internet
• $450 monthly allowance on food
• $500 monthly allowance for wellness
• $5,000 annual allowance towards Childcare
• $20,000 lifetime benefit for family planning, such as adoption or fertility expenses
• Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
• Parental Leave; 16 weeks of paid parental leave + one month gradual return to work