Data Scientist

Remote - North America

Applications have closed

🚀 Whatnot

Whatnot (YC W20) is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re one of YC’s top companies and one of the fastest growing marketplaces ever. We’re laser focused on creating an exceptional software company, team, and place to work. You can read our principles here.

Our mission: enable anyone to turn their passion into a business and bring people together through commerce. We’re building the future of ecommerce; an interactive community where creators can make a living off their passion.

Did we mention we’re high growth? In January 2021, Whatnot had 10 ambitious employees. Today, the Whatnot team is 120+ employees and will exceed 300 by year end. We’re hiring forward thinking problem solvers across all functional areas. We recruit thoughtfully, can adapt quickly, and are scaling fully remotely.

📈 Opportunity Size

The ecommerce experience has been static for 20+ years and is one of the largest opportunities for disruption in the startup space today. Livestream shopping is a $170B GMV market in China and has grown 100% YoY. Retail is a $5T market opportunity!

💻 Role

We are looking for intellectually curious, highly motivated individuals to be foundational members of our Data Science and Machine Learning team. You will partner across the company and use data to design scalable solutions based on a deep understanding of critical business goals. The ideal candidate will use data analysis, statistics and machine learning to support initiatives end to end, including data engineering, data analysis, machine learning, and software development.

What you'll do:

  • Partner closely across the business to identify improvements and influence decisions using data science methodologies and tools.
  • Contribute across the data science and machine learning development stack: idea development, opportunity sizing, prototyping, testing, and deployment
  • Enrich product, go-to-market, and operations teams with new kinds of sophisticated analytics and machine learning powered experiences.
  • 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.

👋 You

Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here.

As our next data scientist you should have 3+ years of experience, plus:

  • Proven history of knowledge in Computer Science, Statistics, Mathematics, Software Engineering or related technical field.
  • Industry experience with proven track record to apply scientific methods to solve real-world problems on large scale data.
  • Extensive experience with Python and SQL for data science, machine learning, and software development e.g. numpy, scipy, pandas, scikit-learn, PyTorch, Keras, jax, LightFM, XGBoost, 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, Big Query, dbt, Airflow.
  • Experience with operational databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis.
  • 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.
  • Familiarity with cloud computing platforms and managed services such as AWS Lambda, Kinesis, S3, EC2, ECS.
  • 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 No Meeting Holidays
  • Health Insurance options including Medical, Dental, Vision, Life, Short term disability & Long term Disability
    • Whatnot covers 99% of employee premium costs, and 75% of dependent care premiums for Medical
    • Dental and Vision sponsored 100% by Whatnot for employees and dependents
  • Work From Home Support
    • Laptop provided by Whatnot and home office setup allowance
    • $150 work-from-anywhere monthly allowance for cell phone, internet, or co-working spaces
  • $200 monthly to spend within Whatnot App
  • Care benefits
    • $450 monthly allowance on food
    • Wellness monthly allowance
    • Paid Parental Leave
    • $20,000 for family planning, such as adoption or fertility expenses
    • During the COVID-19 Pandemic, Whatnot provides a $20,000 annual allowance towards Nannies, Daycare, and Caregiving support

💛 EOE

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. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

Tags: Airflow AWS BigQuery Computer Science Computer Vision Data analysis Data pipelines Docker DynamoDB EC2 E-commerce ECS Elasticsearch Engineering Flask Jupyter Keras Kinesis Lambda Machine Learning Mathematics MLOps NumPy Pandas Pipelines PostgreSQL Prototyping Python PyTorch Scikit-learn SciPy Snowflake SQL Statistics Testing XGBoost

Perks/benefits: Career development Cell phone stipend Competitive pay Equity Fertility benefits Gear Health care Home office stipend Insurance Medical leave Parental leave Startup environment Unlimited paid time off Wellness

Region: Remote/Anywhere
Job stats:  9  2  0
Category: Data Science Jobs

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