Dataiku Engineer Data & Analytics

Title: Dataiku Engineer Data & Analytics

Location: Oakland, CA, Rancho Cordova, CA or Alpharetta, GA. Onsite from Day1.

Candidate must reside near a client office location (Oakland, Rancho Cordova, Alpharetta, etc.). Hybrid role 2-3 days onsite

Must-Have Requirements:

Extensive experience with Dataiku (over 5 years)

Strong communication + collaboration skills. Will be leading weekly meetings with other Data Scientist.

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's Data & Analytics Center of Excellence, which is responsible for executing the company's Enterprise Data & Analytics strategy fostering 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:

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.