About this role
Enterprises often struggle to operationalize and govern artificial intelligence across complex multi-vendor environments, requiring specialized technical guidance to bridge the gap between platforms and business value. Dataiku addresses this challenge by providing an enterprise orchestration layer for building, deploying, and managing AI models at scale.
Dataiku needs a Senior Data Scientist to bridge deep technical machine learning expertise with client-facing consulting throughout the customer lifecycle. The person in this role will build production-level data science solutions while helping clients discover platform capabilities, integrate tools, and mentor internal teams. Success in this position requires a balance of coding proficiency in Python, strong communication skills to explain complex topics to diverse audiences, and an aptitude for collaborative problem solving.
What you will do
- Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support.
- Analyse and investigate various data and machine learning applications across industries and use cases.
- Provide strategic input to the customer and account teams to help customers succeed with their deployments.
- Scope and co-develop production-level data science projects directly with customers.
- Mentor and help educate data scientists and other customer team members to aid in career development and growth.
What you need
- Demonstrate curiosity and a desire to learn new technical skills.
- Display empathy and an eagerness to share knowledge with colleagues, customers, and the general public.
- Communicate complex topics clearly to both technical and non-technical audiences.
- Bring over 5 years of experience with coding in Python, R, or SQL.
- Possess over 5 years of experience building machine learning models.
- Understand underlying data systems and platform mechanics, including cloud architectures, Kubernetes, Spark, and SQL.
Nice to have
- Experience with consulting and customer-facing data science roles
- Experience with data engineering or MLOps
- Experience developing WebApps in JavaScript, RShiny, or Dash
- Experience building APIs
- Experience using enterprise data science tools
Benefits
- Stock options
- Medical, dental, and vision plans
- Flexible spending accounts
- 401k company match
- Paid vacations and sick leave
- Paid parental leave
Skills and tech stack
Questions candidates ask
What is the compensation range for this role?
The US national base pay ranges from $176,000 to $220,000 USD. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
What kind of daily tasks will I handle?
You will work on the Dataiku platform daily, using Python alongside occasional work in other languages like R, SQL, PySpark, and JavaScript. Tasks include analysing machine learning applications, leading user training, and co-developing data science projects from design to deployment.
What qualifications are required?
Candidates need over 5 years of experience with coding in Python, R, or SQL, as well as over 5 years of experience building machine learning models. You also need an understanding of underlying data systems and platform mechanics such as cloud architectures, K8S, Spark, and SQL.
Is this a remote position?
The listing notes remote work aspects under professional tags and mentions geographic location as a factor in determining the final compensation package within the United States.