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Dice

Dataiku Data Scientist

Dice, Houston, Texas, United States, 77246


Dice is the leading career destination for tech experts at every stage of their careers. Our client, Jobot, is seeking the following. Apply via Dice today!

Long-term contract opportunity to be a part of a NEW AI Innovation project!

This Jobot Consulting Job is hosted by: Jasmine Robinson

Salary: $55 - $70 per hour

A bit about us:Our client is kicking off a new AI innovation project working with cutting edge technologies!

Why join us?Health insurance and benefits available while on contractLong-term contract with the potential to extend and/or go full-timeWorking with cutting edge technologies!

Job DetailsThis role is onsite in Houston - NO remote candidates will be considered!

This role involves developing, testing, and deploying machine learning models to address complex business challenges and drive decision-making processes. The ideal candidate will have a strong background in data science, with proficiency in AWS and Dataiku, and the ability to effectively communicate insights to both technical and non-technical stakeholders.

Qualifications:MUST have Dataiku experienceBachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.Proven experience (3-5 years) in developing and deploying ML models in a production environment.Proficiency with Databricks and AWS services; certifications in Databricks and AWS preferred.Significant experience and deep understanding of Data IKU for model development, deployment, and maintenance; Data IKU certification highly desirable.Strong analytical and problem-solving skills, with a keen attention to detail.Experience conducting exploratory data analysis and building statistical models.Expertise in developing machine learning algorithms and applying them to real-world problems.Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.Demonstrated ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders.Experience with decision automation and developing scoring engines is a plus.

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