Director | Data Science
MachinifySalary not specified
Full Time
Expert & Leadership (9+ years)
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
- 2-10 years of experience with Python and SQL
- 2-10 years of experience with building ML models and using ML tools (e.g., sklearn)
- Experience with LLM
- Experience with data visualisation and building web apps with Python frameworks (Dash, Streamlit)
Responsibilities
- Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support
- Co-develop production-level data science projects with our customers across different industries and use cases
- Provide strategic input to the customer and account teams that help our customers achieve success
- Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
- Run demo booth/tech talk duties at company public events (e.g. Everyday AI)
- Contribute to internal assets (internal best practice or external blog post/project on the public gallery)
Skills
Python
SQL
PySpark
R
JavaScript
Dataiku
Machine Learning
Data Science
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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