Dataiku Engineer

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Dataiku Engineer focused on Data & Analytics, offering a 6-12 month hybrid contract with a pay rate of $50-$75/hr. Requires 5+ years of Dataiku experience, strong communication skills, and U.S. work authorization.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
600
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๐Ÿ—“๏ธ - Date discovered
August 7, 2025
๐Ÿ•’ - Project duration
More than 6 months
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๐Ÿ๏ธ - Location type
Hybrid
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๐Ÿ“„ - Contract type
Unknown
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๐Ÿ”’ - Security clearance
Unknown
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๐Ÿ“ - Location detailed
Alpharetta, GA
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๐Ÿง  - Skills detailed
#Azure #Leadership #Data Science #Deployment #ML (Machine Learning) #Documentation #Base #Dataiku #AI (Artificial Intelligence)
Role description
World Wide Technology is looking for Dataiku Engineer โ€“ Data & Analytics. This job is part of WWTโ€™s Strategic Resourcing services. The candidate will be supporting a WWT customer and will be employed by one of WWTโ€™s preferred partners. Why WWT? At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits, and by delivering cutting-edge technology solutions for our clients. WWT was founded in 1990 in St. Louis, Missouri. We employ more than 10,000 people globally and closed nearly $20 billion in revenue in 2023. We have an inclusive culture and believe our core values are the key to company and employee success. WWT is proud to have been included on the FORTUNE "100 Best Places to Work Forยฎ" list 14 years in a row! Job Title: Dataiku Engineer โ€“ Data & Analytics Location: Hybrid, 1-2 days/week in Oakland, CA, Rancho Cordova, CA or Alpharetta, GA. Duration: 6-12 months; potential CTH Rate/Salary: A reasonable estimate of the current pay range for this position is $50/hr. to $75/hr. hourly C2C. Actual pay will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs, and will be set by your employer. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in base pay. 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: โ€ข Extensive experience with Dataiku (over 5 years) โ€ข Strong communication + collaboration skills. Will be leading weekly meetings with other Data Scientist. โ€ข Candidate must reside near a client office location (Oakland, Rancho Cordova, Alpharetta, etc.) โ€ข 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