Senior Machine Learning Scientist

Full Time Senior Machine Learning Scientist at Whatnot (United States) BEAMSTART Jobs

Have you got what it takes to succeed The following information should be read carefully by all candidates.

Senior Machine Learning Scientist

Whatnot United States

Date Posted : 14 Apr, 2023

Work Location : Los Angeles, CA, United States

Salary Offered : Not Specified

Job Type : Full Time

Experience Required : 6+ years

Remote Work : Yes

Stock Options : No

Vacancies : 1 available

About Whatnot

Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment.

We are committed to our values, whether working remotely or from one of our offices.

Role

We are looking for intellectually curious, highly motivated individuals to be foundational members of our Machine Learning and Data Platform team.

You will partner across the company and use data to design scalable solutions based on a deep understanding of critical business goals.

What you'll do :

• Build and help set direction across the entire machine learning development process to implement machine learning algorithms in production, including exploratory data analysis, data modeling, feature engineering, model training and tuning, testing, deployment, and monitoring.
• 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.
• Define and advance standard methodologies within an experiment-driven culture.

As our next Senior Machine Learning Scientist you should have 5+ years of experience, plus :

• Proven history of knowledge in Computer Science, Statistics, Mathematics, Software Engineering or related technical field.
• Industry experience with a track record of applying scientific methods to solve real-world problems on consumer scale data.
• 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.

Benefits

• Competitive base salary and stock options
• Unlimited Vacation Policy and Company-wide Holidays (including a spring and winter break)
• Health Insurance options including Medical, Dental, Vision, Life, Short term disability & Long term Disability
• Work From Home Support
• Care benefits
• Professional Development
• 401k offering for Traditional and Roth accounts provided by Betterment

Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law.

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