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Dataiku Jobs in California (NOW HIRING)

Expleo

Dataiku Consultant

Los Angeles, CA · On-site

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 ...

Sapsol Technologies Inc

Dataiku

Oakland, CA · On-site

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 ...

Sapsol Technologies Inc

Dataiku

Oakland, CA · On-site

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 ...

Marencor

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 ...

Apple

Financial Analyst, Global Security

Cupertino, CA · On-site

... Dataiku, and SQL, including a demonstrated track record of leveraging AI and automation tools to drive efficiency in financial analysis, reporting, and modeling. Familiarity with security functions ...

Recruit Monitor

Remote Data Analyst

Long Beach, CA · Remote

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 ...

Recruit Monitor

Remote Data Analyst

San Jose, CA · Remote

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 ...

Maxonic Inc.

AI Product Owner

San Francisco, CA · On-site

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 ...

Prologis, Inc.

AI Product Owner

San Francisco, CA · On-site

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

Maxonic

Senior AI Automation Engineer

San Francisco, CA · On-site

$124K - $171K/yr

Experience with Dataiku, Snowflake, AWS, or comparable enterprise data and AI platforms. * Experience with CI/CD, Infrastructure-as-Code, containers, DevOps practices, or scalable cloud deployment ...

Maxonic, Inc.

AI Product Owner

San Francisco, CA · On-site

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 ...

Prologis

AI Product Owner

San Francisco, CA

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 ...

Apple Inc.

Forward Deployed Engineer

Cupertino, CA · On-site

Familiarity with data science tooling such as Dataiku, Snowflake, Airflow, or Python‑based analytics pipelines. * Experience with full‑stack web frameworks, including Node.js/Express.js, Apollo ...

Prologis

Senior AI Automation Engineer

San Francisco, CA · On-site

$122K - $160K/yr

Experience with Dataiku, Snowflake, AWS, or comparable enterprise data and AI platforms. Experience with CI/CD, Infrastructure-as-Code, containers, DevOps practices, or scalable cloud deployment ...

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Dataiku information

See California salary details

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How much do dataiku jobs pay per month?

As of Sep 14, 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.

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.

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:

Dataiku jobs near you
Infographic showing various Dataiku job openings in California as of September 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 70% Physical, 6% Hybrid, and 24% Remote job distribution, with an average salary of $52,405 per year, or $25.2 per hour.

Dataiku Consultant

Los Angeles, CA • On-site

Expleo
IT Services • 10K+ employees
Learn more about Expleoexternal

Full-time

Re-posted 27 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

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