Full-Time

Senior Data Scientist

Confirmed live in the last 24 hours

Dataiku

Dataiku

1,001-5,000 employees

Develops AI solutions for business operations

Data & Analytics
AI & Machine Learning

Compensation Overview

$150k - $200kAnnually

+ Commission + Variable Compensation

Senior

Remote in USA

Candidates must be based in the United States.

Category
Data Science
Data & Analytics
Required Skills
LLM
Python
Data Science
SQL
Machine Learning

You match the following Dataiku's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
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 LLM
  • Experience with data visualization and building web apps with Python frameworks (Dash, Streamlit)
  • Understanding of underlying data systems such as Cloud architectures and SQL
  • Ability to travel approximately 10% for customer engagements
Responsibilities
  • 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
  • Ability to travel approximately 10% for customer engagements
Desired Qualifications
  • Experience using Dataiku DSS
  • Experience with Consulting and/or Customer-facing Data Science roles
  • Experience in the Manufacture & Defense sector
  • Experience with Data Engineering or MLOps
  • Experience developing WebApps in Javascript
  • Experience building APIs
  • Passion for teaching or public speaking

Dataiku develops AI solutions aimed at integrating artificial intelligence into everyday business operations. Their products focus on operationalizing AI, which helps businesses enhance their processes and outcomes. Key offerings include Generative AI, which creates new content or predictions, and MLOps, which facilitates collaboration between data scientists and operations teams to manage the machine learning lifecycle. Dataiku's solutions have proven effective, as demonstrated by their work with a retail client that improved forecast runtime by 900% and achieved 88% accuracy on a 52-week forecast. Unlike many competitors, Dataiku emphasizes seamless integration with AWS services, enhancing data processing capabilities for clients. The company's goal is to empower businesses to leverage AI for better forecasting and data management.

Company Size

1,001-5,000

Company Stage

Series F

Total Funding

$823.3M

Headquarters

New York City, New York

Founded

2013

Simplify Jobs

Simplify's Take

What believers are saying

  • Dataiku's LLM Guard Services ensure smooth Generative AI rollouts for enterprises.
  • Recognition in Gartner's 2024 report boosts Dataiku's credibility in AI platforms.
  • The launch of Dataiku Stories enhances user engagement with dynamic data presentations.

What critics are saying

  • Emerging AI platforms with lower costs threaten Dataiku's market share.
  • Dependence on AWS could impact Dataiku if partnership terms change.
  • Rapid AI advancements may challenge Dataiku's feature integration speed.

What makes Dataiku unique

  • Dataiku offers a centralized platform for enterprise AI and analytics at scale.
  • The company provides structured solutions for Generative AI and MLOps.
  • Dataiku's partnerships with major firms like AWS enhance its service offerings.

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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

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Dataiku
Jan 7th, 2025
From LLM Mess to LLM Mesh: Building Scalable AI Applications

At Dataiku Everyday AI events in Dallas, Toronto, London, Berlin, and Dubai this past fall, Dataiku talked about an architecture paradigm for LLM-powered applications: an LLM Mesh.

Dataiku
Dec 17th, 2024
Dataiku Is a Gartner Peer Insights Customers' Choice

Dataiku is excited to announce that Dataiku has been recognized as a Customers' Choice in the 2024 GartnerR Peer Insights 'Voice of the Customer': Data Science and Machine Learning Platforms report.

The Manila Times
Dec 11th, 2024
New Dataiku Stories Empowers Anyone To Transform Trusted Data Into Dynamic Business Presentations in Seconds with Generative AI

NEW YORK, NY, Dec. 11, 2024 (GLOBE NEWSWIRE) - Dataiku, the Universal AI Platform, today announced the launch of Dataiku Stories, a Generative AI-powered data storytelling solution that enables virtually any business user to quickly and easily generate insights and transform company data into visual presentations on their own.

Dataiku
Oct 3rd, 2024
Dataiku Launches LLM Guard Services to Control Generative AI Rollouts From Proof-of-Concept to Production in the Enterprise

Dataiku launches LLM Guard Services to control Generative AI rollouts from proof-of-concept to production in the enterprise.