Data Scientist (Mid-Sr)
SpadeData & company
New York, United StatesMid
Oak HC/FT
Andreessen Horowitz
Gradient Ventures
Flourish Ventures
NAventures
National Bank of Canada
Data & AI
About the role
TL;DR
Build ML/AI systems to improve transaction data quality and product performance.
- •As a Data Scientist at Spade, you'll build ML/AI systems on transaction data to improve data quality and product performance.
- •Key Responsibilities Own ML/AI products end-to-end: ideation, prototyping, production Build automated ML/AI systems that improve data quality and product performance Raise the bar on how we develop, deploy, and monitor models Requirements 3+ years building and shipping models in Python, in a fast-paced environment (5+ for senior) Strong ML, stats, and data fundamentals (PySpark, pandas, SQL) A product mindset
- •you navigate ambiguity and optimize for customer value, not just model accuracy
Required skills
PythonPandasSQLSparkMLflowKubeflowApache KafkaAWSDatabricks
Nice-to-have skills
Databricks
Domain expertise
fintech
Benefits & perks
Competitive Compensation, Meaningful Equity, Comprehensive Health Benefits, 401(k), Paid Parental Leave, Unlimited PTO, Flexible In-Person Culture
Tech stack
PythonPandasSQLSparkDatabricksMLflowKubeflowApache KafkaAWS