Director of Data Science

Hybrid or Remote (San Diego or Salt Lake City)

Applications have closed

ClickUp

Our mission is to make the world more productive. To do this, we built one app to replace them all - Tasks, Docs, Goals, and Chat.

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ClickUp is the world's only all-in-one productivity platform that flexes to the way people want to work. It replaces all individual workplace productivity tools with a single, unified platform including project management, document collaboration, spreadsheets, chat, goals, and more. On a mission to make the world more productive, ClickUp is headquartered in San Diego and scaling remotely and internationally. As one of the fastest-growing SaaS companies in the world, ClickUp helps millions of users to be more productive and save at least one day every week. 🦄

Our mission is to build a work platform that saves people time by making the world more productive. Check out our customer stories on how we have enabled 1000s of customers save one day every week! 

ClickUp is looking for an exceptional data science leader to own data science exploration and model building at ClickUp. You are an experienced technical leader in leveraging data science and machine learning to create operational efficiencies and drive ROI for a high growth technology company. You thrive when leading a team that collaborates as a community and is distributed across the globe. You are comfortable with scaling people, technical capabilities, and processes of a team.

 

The Role

  • Lead a team of machine learning engineers, data scientists, and data program managers to deliver operational ML models for marketing, sales, support, product, and engineering stakeholders
  • Lead the design and implementation of Machine Learning solutions for ClickUp’s operational and product challenges.
  • Manage the insights and growth experimentation product analytics team to uncover product insights and growth levers for product managers
  • Build Machine Learning models from millions of accounts stored in a Snowflake data warehouse.
  • Build and validate machine learning models and present findings to key stakeholders
  • Deploy and operationalize models into a production data pipeline and operational systems
  • Participate in the full software development cycle: design, develop, QA, deploy, experiment, and analyze.
  • Lead the prioritization and ROI analysis strategy for model and data science projects across multiple departmental stakeholders

 

Qualifications

  • 5+ years hands-on experience with machine learning and data science techniques (tree-based models, feature engineering, dimensionality reduction) and architectures/methodologies (Jupyter notebooks, SageMaker, AWS/GCP, Lambda, Python)
  • 2+ years experience as a leader managing multiple teams
  • Experience with scaling of a data organization by hiring and retaining exceptional talent
  • Leaders who have seen scale with a Product Led Growth companies is a plus!
  • You are passionate about data, are comfortable with generating hypotheses and insights from it, and clearly explaining those insights to executive leaders
  • Experience coordinating a production model through the entire lifecycle of scoping, development, training, deployment, retraining.
  • 1+ year experience with operational business model development (examples include conversion prediction, lead scoring, marketing attribution, forecasting, time series modeling, customer lifetime value, customer health scoring etc.)
  • You are knowledgeable with SQL and data warehouse architecture

ClickUp was founded on a culture of hard work, consistent growth, and a desire to break norms. We’re a values-driven company and hire based on ambition, merit, and a willingness to do what it takes to succeed. We don’t care where you’re from, what you look like, or who you’re in a relationship with—we hire the best people for the job, and create an environment that supports employees on their journey to do the most exciting work of their lives! ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Engineering Feature engineering GCP Jupyter Lambda Machine Learning ML models Python SageMaker Snowflake SQL

Perks/benefits: Career development Startup environment

Regions: Remote/Anywhere North America
Country: United States
Job stats:  10  2  0
Category: Leadership Jobs

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