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Dataiku Jobs in California (NOW HIRING)

Concevoir, developper et maintenir des solutions Dataiku repondant aux besoins metiers et analytiques. * Mettre en uvre des cas d'usage d'IA Generative (GenAI) en s'appuyant sur Dataiku LLM Mesh et ...

Concevoir, développer et maintenir des solutions Dataiku répondant aux besoins métiers et analytiques. * Mettre en œuvre des cas d'usage d'IA Générative (GenAI) en s'appuyant sur Dataiku LLM ...

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 ...

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 ...

MLflow, Azure ML, Dataiku, model registry, CI/CD, GitHub Actions Data Platforms: Snowflake, Azure SQL, Oracle, data lakes, cloud data platforms AI/GenAI: LLMs, prompt engineering, RAG, semantic ...

MLflow, Azure ML, Dataiku, model registry, CI/CD, GitHub Actions * Data Platforms: Snowflake, Azure SQL, Oracle, data lakes, cloud data platforms * AI/GenAI: LLMs, prompt engineering, RAG, semantic ...

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Data Engineer (Python, Dataiku) Location: SFO, CA - Hybrid Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work ...

You will be hands-on where it helps: writing SQL to investigate a data question, contributing to our data ecosystem in Dataiku, building a Tableau dashboard or data source to surface important data ...

AWS or similar cloud-based enterprise platforms (Databricks, Dataiku) * Big Data tools such as Spark, BigQuery, or Redshift #LI-CH2 Benefits We offer versatile health perks, including flexible ...

You will be hands-on where it helps: writing SQL to investigate a data question, contributing to our data ecosystem in Dataiku, building a Tableau dashboard or data source to surface important data ...

Modern Data & Analytics Technology such as Dataiku, Tableau, AWS, Spark * Coding with SQL, Hive, Python/R, SAS, VBA, etc. * Demonstrates excellent organizational skills with the ability to prioritize ...

Exposure to Azure ML, Dataiku, Databricks, Snowflake, MLflow, GitHub, GitHub Actions, Power BI, or similar tools. * Experience supporting GenAI and LLM-based solutions in an enterprise setting.

Sr Staff AI Architect

Carlsbad, CA · On-site +1

$143K - $185K/yr

Experience with Databricks, Dataiku or vector databases. * Knowledge of CRM/ERP integration architecture. * Background in supply chain or commercial analytics ecosystems. * Experience architecting ...

Experience with Dataiku, Camunda, BPMN 2.0, Snowflake, AWS, or similar enterprise AI, data, workflow orchestration, business process management, and automation technologies. Experience applying AI ...

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Dataiku information

See California salary details

$2.3K

$4.4K

$8.1K

How much do dataiku jobs pay per month?

As of Jul 27, 2026, the average monthly pay for dataiku in California is $4,367.08, according to ZipRecruiter salary data. Most workers in this role earn between $3,208.33 and $4,933.33 per month, depending on experience, location, and employer.

Is Dataiku a good company to work for?

Dataiku is a technology company known for its data science platform, and many employees cite a collaborative work environment and opportunities for skill development. As a data analyst or data scientist working there, you can expect a focus on innovation, teamwork, and continuous learning. Employee reviews vary, so researching specific roles and company culture is recommended.

Is Dataiku a big company?

Dataiku is a mid-sized company specializing in data science and machine learning platforms. It has grown significantly since its founding and serves numerous enterprise clients worldwide, making it a notable player in the industry. Employees working there often use tools like Python, R, and SQL, and the company offers a collaborative work environment.

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.

How much do Dataiku consultants make?

Dataiku consultants typically earn between $70,000 and $130,000 annually, depending on experience, location, and project complexity. Senior consultants with specialized skills in data science and machine learning can earn higher salaries, especially when working on complex integrations or enterprise-scale projects.

What does Dataiku do?

A Dataiku professional works with the Dataiku platform to develop and implement data analytics, machine learning models, and data workflows. They often use tools like SQL, Python, or R and collaborate with data teams to turn data into actionable insights. Strong technical skills and understanding of data science processes are essential for this role.

What is a Dataiku job?

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 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 are the most commonly searched types of Dataiku jobs in California? The most popular types of Dataiku jobs in California are:
What are popular job titles related to Dataiku jobs in California? For Dataiku jobs in California, the most frequently searched job titles are:
What job categories do people searching Dataiku jobs in California look for? The top searched job categories for Dataiku jobs in California are:
Infographic showing various Dataiku job openings in California as of July 2026, with employment types broken down into 62% Full Time, and 38% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $52,405 per year, or $25.2 per hour.
Dataiku Consultant

Dataiku Consultant

Expleo

Los Angeles, CA

Full-time

Posted 8 days ago


Job description

Description du poste

Le Groupe EXPLEO s'appuie sur 19000 collaborateurs hautement qualifies qui fournissent des solutions a forte valeur ajoutee dans 30 pays. Expleo vous aide a realiser vos ambitions et a assurer, ensemble, votre avenir. Nous vous offrons un melange unique de reflexion audacieuse et d'execution fiable, pour accelerer l'innovation a travers chaque etape de votre chaine de valeur.

Au-dela de rejoindre une entreprise, c'est donc une aventure humaine que nous vous proposons de VIVRE !!

MissionsMissions principales
  • Concevoir, developper et maintenir des solutions Dataiku repondant aux besoins metiers et analytiques.
  • Mettre en uvre des cas d'usage d'IA Generative (GenAI) en s'appuyant sur Dataiku LLM Mesh et les principaux modeles de langage du marche.
  • Developper des applications basees sur les LLMs (chatbots, assistants virtuels, RAG, AI Agents).
  • Concevoir et optimiser les pipelines de donnees pour l'alimentation des modeles IA et des analyses metier.
  • Assurer l'integration de Dataiku avec les differentes sources de donnees et systemes d'entreprise.
  • Participer a l'industrialisation, au deploiement et au monitoring des solutions IA en environnement de production.
  • Collaborer avec les equipes Data Engineering, Data Science, IT et Metiers afin de garantir la qualite et la pertinence des solutions developpees.
  • Contribuer a l'amelioration continue des bonnes pratiques Dataiku, GenAI et MLOps.
  • Accompagner les utilisateurs metiers dans l'adoption des solutions Dataiku et assurer le support technique necessaire.
  • Participer aux phases de cadrage, d'architecture et de definition des solutions Data & AI.
Qualifications Qualifications requises
  • Diplome d'Ingenieur ou Master (Bac+5) en Informatique, Data Science, Intelligence Artificielle ou domaine equivalent.
  • Minimum 3 a 5 ans d'experience dans les domaines Data, Analytics ou Intelligence Artificielle.
  • Experience significative sur Dataiku DSS, incluant le developpement, le deploiement et la maintenance de projets Dataiku.
  • Connaissance des solutions d'IA Generative et des LLMs (Large Language Models).
  • Maitrise de Python et des bibliotheques de traitement de donnees (Pandas, NumPy).
  • Experience dans la mise en uvre de solutions basees sur Dataiku LLM Mesh ou technologies similaires.
  • Bonne comprehension des architectures Data et des pipelines de donnees.
  • Connaissances des outils de gestion de versions et de deploiement (Git, Docker, Kubernetes) appreciees.
  • Capacite a travailler dans un environnement international et a collaborer avec des equipes pluridisciplinaires.
CompetencesEssential Skills
  • Strong hands-on experience with Dataiku DSS development and administration.
  • Experience implementing and managing Dataiku LLM Mesh solutions.
  • Solid knowledge of Generative AI (GenAI) and Large Language Models (LLMs).
  • Proficiency in Python and data manipulation libraries such as Pandas and NumPy.
  • Experience designing and developing AI-powered applications, including RAG and AI Assistants.
  • Strong understanding of data integration, data preparation, and workflow automation within Dataiku.
  • Experience with version control and deployment tools (Git, Docker, Kubernetes).
  • Knowledge of Data & AI solution lifecycle management and best practices.
  • Strong analytical and problem-solving skills.
  • Good communication skills and ability to work in an international environment.
Employment Type: FULL_TIME