Data Scientist
West
Posted on 3/17/2023
INACTIVE
Locations
Denver, CO, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
Data Science
JavaScript
R
SQL
Python
Requirements
  • Curiosity and a desire to learn new topics and skills
  • Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku's customers, and the general public
  • The ability to clearly explain complex topics to technical as well as non-technical audiences
  • 4 - 12 years of experience with ML tools (ie., Python, R)
  • 4 - 12 years of experience building models
  • Understanding of underlying data systems and platform mechanics such as Cloud architectures, K8S, Spark, and SQL
  • Location: local to Denver, Colorado, Oregon, Washington, Texas, Kansas, Missouri, Utah, Montana, and Arizona
Responsibilities
  • Co-develop production-level data science projects with our customers
  • Provide strategic input to the customer and account teams that help make our customers successful
  • Analyze and investigate various kinds of data and machine learning applications across industries and use cases
  • Help users discover and master the Dataiku platform, via user training, office hours, and ongoing consultative support
  • Mentor and help educate team members to aid in career development and growth
  • Be the lead on project scoping efforts and development sprints
Desired Qualifications
  • Experience with Consulting and/or Customer-facing Data Science roles
  • Experience with Data Engineering or MLOps
  • Experience developing WebApps in Javascript, RShiny, or Dash
  • Experience building APIs
  • Experience using enterprise data science tools
  • Passion for teaching or public speaking
Dataiku

1,001-5,000 employees

Enterprise AI & ML platform
Company Overview
Dataiku’s mission is to pioneer everyday AI by helping everyone in an organization – from technical teams to business leaders – use data to make better decisions and drive business value on a daily basis. The company has developed a platform that systemizes the use of data and AI to enable organizations to customize, share, and reuse AI components and apps to easily deliver high-quality projects and streamline the path to production.
Benefits
  • Health, life & pension benefits
  • Equity
  • Time off for R&R
  • Public holidays
  • Work from anywhere policy (unique to team)
  • 12 weeks of paid parental leave
  • Volunteering opportunities
  • Career Development opportunities
  • Technology stipend
  • Onsite meals & healthy snacks
  • Office happy hours
  • Company-wide events
Company Core Values
  • Diversity of People & Perspectives
  • Tolerance & Open-Mindedness
  • Accountable Camaraderie
  • Work-Life Balance
  • Dedication to Learning
  • Conscious Long-Term Responsibility