Senior Data Scientist

Job not on LinkedIn

🕒 April 20

🌵 Arizona, California, +7 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🎰 Nevada – Remote 🌶️ New Mexico – Remote 🌲 Oregon – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ☕ Washington – Remote

💵 $170k - $190k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Dataiku

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💰 $400M Series E on 2021-08

Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data.More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.

📋 Description

• Scope and co-develop production-level data science projects with our customers across different industries and use cases • Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support • Provide strategic input to the customer and account teams that help make our customers successful. • Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams • Lead technical data science projects pre-sales scoping and design appealing proposals • Flag technical and non-technical account risks (onboarding issues, performance pitfalls, timeline slippage) • Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality • Lead Data Scientist engagements: You will coordinate agile sprints, prioritize tasks, estimate effort, do backlog grooming • Run demo booth/tech talk duties at company public events (e.g. Everyday AI) • Lead Junior Data Scientist technical interview • Contribute to 2 internal assets (internal best practice or external blog post/project on the public gallery) per year

🎯 Requirements

• Over 5 years of experience with Python and SQL • Over 5 years of experience with building ML models and using ML tools (e.g., sklearn) • Experience with LLMs • Experience with data visualization and building web apps with Python frameworks (Dash, Streamlit) • Understanding of underlying data systems such as Cloud architectures and SQL • Bachelor’s or Master’s program focused on: Statistics, Computer Science, or a related field • Must be located within the CST, MST, and PST time zones

🏖️ Benefits

• stock options • medical • dental • vision plans • flexible spending accounts • pre-tax commuter benefits • 401k company match • paid vacations and sick leave • paid parental leave • employer paid disability coverage • additional health and wellbeing perks and benefits