Dataiku Engineer - Data & Analytics

Advanced Analytics Product Owner

Location: Hybrid, 1-2 days/week in Oakland, CA, Rancho Cordova, CA or Alpharetta, GA. (Local candidates to either of these locations highly preferred)

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.

Must-Have Requirements:

• Extensive experience with Dataiku (over 5 years)
• Strong communication + collaboration skills. Will be leading weekly meetings with other Data Scientist.
• Candidate must reside near a client office location (Oakland, Rancho Cordova, Alpharetta, etc.)
• Candidate must be authorized to work in the U.S. without the need for sponsorship now or in the future (FTE conversion eligibility required)

Minimum Qualifications:

Bachelors 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