Senior Data Scientist, West at Dataiku

Denver, Colorado, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

N/AIndustries

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
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 or MDT timezones

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: 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

Skills

Key technologies and capabilities for this role

PythonSQLDataikuPySparkRJavaScript

Questions & Answers

Common questions about this position

What technical skills are required for the Senior Data Scientist role?

The role requires over 5 years of experience with Python and SQL, over 5 years building ML models with tools like sklearn, experience with LLMs, and data visualization plus building web apps with Python frameworks like Dash or Streamlit.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this Senior Data Scientist role remote or office-based?

This information is not specified in the job description.

What soft skills does Dataiku value in a Senior Data Scientist?

Dataiku seeks curiosity and a desire to learn new topics, empathy for others with eagerness to share knowledge, and the ability to clearly explain complex topics to technical and non-technical audiences.

What makes a strong candidate for this Senior Data Scientist position?

A strong candidate has over 5 years of Python/SQL and ML experience, works with LLMs and visualization tools, and demonstrates curiosity, empathy, and clear communication skills for client-facing work.

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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