Job Details

Dataiku Data Analyst - AI/ML

  2025-08-29     Denken Solutions     Oakland,CA  
Description:

Job Title: Dataiku Data Analyst

Location: Oakland, CA 94612

Duration: 3 Months - Contract to Hire


Job Description:

  • This role is critical to advancing enterprise-wide analytics at Client.
  • 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 Client 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.


Skills/Experience:

  • Minimum Qualifications:
  • Bachelor's degree with 7+ years of relevant experience.


Required Skills and Abilities:

  • Proven ability to lead complex technical projects and collaborate across all levels of IT and business.
  • Strong project leadership and organizational skills, with experience delivering high-impact technical solutions.
  • Ability to effectively communicate technical concepts to both technical and non-technical audiences.
  • ·Expertise in developing and delivering training or mentorship to team members.
  • Excellent analytical, problem-solving, and documentation skills.
  • Experience developing business cases, proposals, and presentations.


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