Dataiku

Senior Data Scientist

United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Data Science, Software/TechnologyIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Full-time
  • Salary: Not specified

Dataiku is a pioneering company at the forefront of the AI revolution, empowering data experts and domain experts to build AI into their daily operations. We’re seeking a Senior Data Scientist to play a key role in our mission of making data actionable and accessible. This unique role involves collaborating with clients throughout the customer journey, from platform discovery and integration to user training and project co-development. You’ll be working on real-world problems, utilizing Python and SQL, and contributing to the growth of our Everyday AI platform.

Requirements

  • Experience: Over 5 years of experience with Python and SQL.
  • Skills:
    • Strong proficiency in Python and SQL.
    • Ability to explain complex technical concepts to both technical and non-technical audiences.
    • Demonstrated curiosity and a desire to learn new technologies and modeling techniques.
    • Empathy and eagerness to share knowledge with colleagues, customers, and the public.
  • Other: A desire to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients.

Responsibilities

  • Customer Collaboration:
    • Scope and co-develop production-level data science projects with customers across various industries.
    • Support customer discovery of the Dataiku platform through user training, office hours, and consultative support.
    • Provide strategic input to the customer and account teams to ensure their success.
  • Technical Contributions:
    • Provide data science expertise to both customers and internally to Dataiku’s sales and marketing teams.
    • Lead technical data science projects during pre-sales scoping and design, contributing to compelling proposals.
    • Identify and 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.
  • Leadership & Coordination:
    • Lead Data Scientist engagements, coordinating agile sprints, prioritizing tasks, estimating effort, and grooming the backlog.
  • External Engagement:
    • Run demo booth/tech talk duties at company public events (e.g., Everyday AI).
    • Lead Junior Data Scientist technical interviews.
  • Knowledge Sharing:
    • Contribute to 2 internal assets (internal best practice or external blog post/project) per year.

Application Instructions

  • Not specified in the provided text. (Please refer to Dataiku's career website for application instructions.)

Company Information

Dataiku is a company pioneering the future of AI. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we’re the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations.

Skills

Python
SQL
Data Science
Customer Collaboration
Technical Communication
Modeling Techniques
AI
Pre-sales Support

Dataiku

AI solutions for operationalizing business processes

About Dataiku

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% with high accuracy. The company generates revenue by providing these AI solutions and has a partnership with AWS, enhancing their service offerings and scalability for clients.

New York City, New YorkHeadquarters
2013Year Founded
$823.3MTotal Funding
SERIES_FCompany Stage
Data & Analytics, AI & Machine LearningIndustries
1,001-5,000Employees

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

Risks

Competition from AI platforms like Databricks may impact Dataiku's market share.
High costs of generative AI initiatives could strain client budgets.
Reliance on partnerships poses risks if collaborations face challenges.

Differentiation

Dataiku offers a centralized platform for enterprise AI and data analytics.
The company integrates with AWS, enhancing connectivity and scalability for clients.
Dataiku's LLM Guard Services ensure controlled Generative AI rollouts.

Upsides

Dataiku's partnership with Rower Consulting expands its reach in the pharmaceutical sector.
Recognition in Gartner's Magic Quadrant boosts Dataiku's credibility in AI solutions.
Dataiku Stories enhances user engagement with Generative AI-powered presentations.

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