Senior Data Scientist

Key Skills

Big Data Technology, Business Intelligence, Data Analysis, Data Analytics, Data Biuld Tool - dbt, Data science techniques, Google BigQuery, KPIs, Machine learning techniques, Presto, Python Programming, R Programming, Snowflake, Spark Core, SQL

Job Description

About You

We are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with our Engineering, Product, Finance and Operations teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions.

You should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.

In addition to 6+ years of experience in the Data Analytics field, you should have:

• Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
• Demonstrated history of knowledge in Business Analysis, Statistics, Mathematics, Economics or related technical fields
• Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data
• Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams
• Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT
• Expert in using SQL for data analysis, reporting, and dashboarding
• Experience with a scripting language such as Python or R is a plus
• Aptitude and experience in applied statistical modeling and machine learning techniques
• Firm grasp of visualization tools, interactive and self-serving, such as business intelligence and notebooks

Role

• Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools
• Build actionable KPIs, create production-quality dashboards and notebooks to convey insights
• Define and advance best practices within an experiment-driven culture
• Inform product engineering roadmap through analysis of marketplace, user behavior, and product trends

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
• 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
• $450 work-from-anywhere quarterly allowance for cell phone and internet
• Care benefits
• $1,350 quarterly allowance on food
• $1,500 quarterly allowance for wellness
• 16 weeks Paid Parental Leave and gradual return to work
• $5,000 annual allowance towards Childcare
• $20,000 lifetime benefit for family planning, such as adoption or fertility expenses
• Professional Development
• $2,000 annual benefit to invest in your professional development
• 401k offering for Traditional and Roth accounts provided by Betterment
• Employer matching contributions of 100% of up to 4% of contributions on base salary