Job Information
Smartbridge Contract - Data Scientist Lead in Houston, Texas
Position: Data Scientist Lead
Contract: 6 months
Location: Onsite Houston Texas
Experience Level: 5-7 Years
Job Summary:
This leadership role involves managing a team of data scientists, guiding the development of machine learning models, and overseeing the deployment and maintenance of data-driven solutions.
Responsibilities:
Develop and implement a comprehensive data science strategy aligned with the organization's objectives.
Provide leadership and mentorship to a team of data scientists, fostering professional growth and development.
Oversee the ideation, development, testing, and execution of Proof of Concept (POC) Machine Learning (ML) models to tackle business challenges.
Synthesize model outputs and test results, delivering insights and recommendations to key stakeholders.
Utilize proficiency in AWS (Amazon Web Services) and Data IKU to enhance model development, deployment, and maintenance processes.
Perform exploratory data analysis to discover actionable insights and identify innovative opportunities.
Create robust statistical models for predictive analytics and develop scalable, efficient, and effective machine learning algorithms.
Collaborate with cross-functional teams, including Data Engineers, Software Developers, and Business Analysts, to promote data-driven decision-making.
Communicate complex findings and technical concepts clearly and effectively to a diverse audience.
Develop automated decision-making models and scoring engines that accurately process business data.
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
At least 5-7 years of proven experience in data science, particularly in developing and implementing ML models in a production environment.
Strong leadership and managerial skills with experience in managing and mentoring data scientists.
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.
Extensive skills in exploratory data analysis, statistical modeling, and machine learning algorithm development.
Excellent communication and collaboration skills, capable of effectively engaging with stakeholders at all levels.
Strong problem-solving and critical thinking capabilities, with a history of providing innovative solutions to complex challenges.
Experience with decision automation and development of scoring engines is a plus.
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