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Dataiku Jobs (NOW HIRING)

Sapsol Technologies Inc

Dataiku

Oakland, CA

This role will take a forward-looking approachdriving innovation and identifying emerging opportunities for Dataiku and advanced analytics adoption across the enterprise. The individual will focus on ...

Dataiku

Product Marketing Manager

$100K - $150K/yr

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning ...

Pacer Group

Dataiku Admin L4

Washington, DC · On-site

Data Platform Admin, Dataiku Key Responsibilities * Collaborate with cross-functional teams to frame problems, translate business needs into analytical questions, and define success metrics.

Dataiku

Sr Technical Account Manager - West

$150K - $200K/yr

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning ...

Dataiku

RVP, Northeast

New York, NY · On-site

$100K - $150K/yr

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning ...

Dataiku

Product Marketing Manager

OR · On-site +1

$153K/yr

Analytics and MLOps are the proven foundation of Dataiku's enterprise platform - the capabilities that hundreds of the world's largest companies use every day to put real models and analytics into ...

Dataiku

Enterprise Account Executive - Mid Atlantic

OR · On-site +1

Dataiku is looking for an experienced Enterprise Account Executive to join our team. Since the launch of our company, we have experienced healthy growth and steady market demand. This is an ...

Dataiku

Anaplan Systems Architect

$248K/yr

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning ...

Dataiku

Sr Technical Account Manager - West

OR · On-site +1

Dataiku platform architecture (initial deployment, expansions), platform operations (upgrades), best practice related to Dataiku usage, security, data management, compute resources, ML-Ops ...

Dataiku

Sr Technical Account Manager - East

OR · On-site +1

Dataiku platform architecture (initial deployment, expansions), platform operations (upgrades), best practice related to Dataiku usage, security, data management, compute resources, ML-Ops ...

Dataiku

Anaplan Systems Architect

OR · On-site +1

Position Overview Dataiku is seeking a Senior Manager, Anaplan & Sales Compensation Systems to lead our Anaplan platform strategy within Strategic Finance. This is a net-new, high-visibility role ...

Dataiku

Senior Manager, People Systems

OR · On-site +1

Dataiku is seeking a talented and motivated Sr. Manager, People Systems to lead our People Systems team. Reporting to the VP of Business Applications, in this role, you will be responsible for ...

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Dataiku information

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How much do dataiku jobs pay per month?

As of Sep 2, 2026, the average monthly pay for dataiku in the United States is $4,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $3,250.00 and $5,000.00 per month, depending on experience, location, and employer.

What is a Dataiku?

A Dataiku job typically involves working with Dataiku DSS, a collaborative data science and machine learning platform used for analytics, automation, and AI development. Roles can vary from data engineers and data scientists to machine learning engineers and analytics professionals who use Dataiku to build, deploy, and manage data workflows. Responsibilities may include data preparation, model training, automation, and integrating Dataiku with other enterprise systems. Companies use Dataiku to streamline AI and analytics processes, improving decision-making and operational efficiency. Proficiency in Dataiku, Python, SQL, and machine learning concepts is often required for these roles.

What are the typical day-to-day responsibilities for someone working with the Dataiku platform?

Professionals working with the Dataiku platform spend much of their day building and maintaining data pipelines, collaborating with stakeholders to define business requirements, developing and deploying machine learning models, and ensuring data quality. They also use Dataiku DSS to automate workflows, prepare datasets, and visualize analytical results. Regular communication with data engineers, business analysts, and management is essential to align data projects with organizational goals. The role often involves troubleshooting technical challenges and staying current with platform updates and best practices.

What are the key skills and qualifications needed to thrive in the Dataiku position, and why are they important?

To excel as a Dataiku Data Scientist or Platform Specialist, you typically need a strong background in data analysis, machine learning, and programming languages such as Python or R, often supported by a degree in computer science, statistics, or a related field. Experience with the Dataiku Data Science Studio (DSS) platform, plus relevant certifications like Dataiku DSS Associate or Designer, is highly valued. Strong problem-solving skills, effective communication, and teamwork are important soft skills to succeed in this role. These abilities ensure that data solutions are effectively designed, implemented, and communicated within cross-functional teams, driving successful business outcomes.

What does Dataiku do?

Dataiku is a company that provides a data science platform enabling data analysts and scientists to build, deploy, and manage machine learning models and data workflows. It offers tools for data preparation, visualization, and collaboration, often used in environments requiring knowledge of data analytics and programming skills. The platform supports integration with various data sources and programming languages like Python and R.
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Dataiku jobs near you
Infographic showing various Dataiku job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 79% Physical, 9% Hybrid, and 12% Remote job distribution, with an average salary of $53,100 per year, or $25.5 per hour.

Dataiku

Sapsol Technologies Inc

Oakland, CA

Contractor

Re-posted 8 days ago

Job description

Job Category:

03181

Job Description:

Strategy Focus:
This role will take a forward-looking approachdriving innovation and identifying emerging opportunities for Dataiku and advanced analytics adoption across the enterprise. The individual will focus on developing the long-term roadmap, assessing new technologies, and shaping strategic direction to enable Delta Dentals data-driven transformation.

Job Description:
This role is critical to advancing enterprise-wide analytics at Delta Dental. The Expert Technical Specialist will partner closely with data architecture, data engineering, and business analytics teams to identify and implement machine learning (ML) use cases that address real-world business challenges.

The position sits within Delta Dentals Data & Analytics Center of Excellence, which is responsible for executing the companys Enterprise Data & Analytics strategyfostering a data-driven culture, governing data assets, and enabling impactful business insights.

Key Responsibilities:

  • Leverage deep expertise in Dataiku (and Azure ML) to support business data scientists in defining, developing, tuning, and deploying ML models.
  • Provide guidance and mentorship to data scientists and development teams on ML best practices from ideation to deployment.
  • Serve as an Advanced Analytics Product Owner: identify and prioritize new ML use cases, track progress and risks, and coordinate resolution efforts.
  • Drive thought leadership on Advanced Analytics governance, including ethical and legal guidelines.
  • Build, validate, and implement predictive models in support of strategic initiatives or AI/ML proof-of-concepts; clearly present findings to stakeholders.
  • Analyze current data-related processes and lead process improvement initiatives.

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