Dataiku

Senior Data Scientist

United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Data & Analytics, Software PlatformIndustries

Requirements

Candidates should possess over five years of experience with Python and SQL, along with over five years of experience in building machine learning models and utilizing ML tools such as sklearn, and experience with Large Language Models (LLMs). A Bachelor’s or Master’s degree in Statistics, Computer Science, or a related field is required, and a foundational understanding of data systems, including Cloud architectures and SQL, is also necessary.

Responsibilities

The Senior Data Scientist at Dataiku will collaborate with customers on production-level data science projects, provide user training and consultative support, offer strategic input to customers and internal teams, lead technical data science projects from scoping to deployment, develop custom Python plugins, coordinate agile sprints, prioritize tasks, estimate effort, and contribute to internal assets. They will also participate in client-facing activities such as leading junior data scientist interviews, running demo booth duties at company events, and flagging technical and non-technical account risks.

Skills

Python
SQL
R
Pyspark
JavaScript
Data Science
Client Communication
Training & 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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