AI Engineer: Data Science & ML Architect

Jobtailor; Illinois; On-site; USD 90,000 - 140,000; Full time

Job summary

Jobtailor is seeking a data scientist in Illinois to extract insights from large datasets and build robust data solutions. You will apply machine learning and deep learning techniques to solve complex business problems and transform raw data into actionable insights.

The role requires a Bachelor's degree and at least 1 year of experience, with proficiency in R, MATLAB, TensorFlow and Scikit-Learn. Collaboration with clients and teams is essential to deliver high-quality, data-driven results.

Qualifications

• Bachelor's degree required.
• 1 year of experience required.
• Fields include Analytics/Data Science, AI/Robotics, CS, Math or Engineering.
• Proficiency in data science algorithms and workflows.
• Experience with TensorFlow and Scikit-Learn.
• ML/DL techniques and predictive modeling required.
• Data-driven decision making and statistical analysis.

Responsibilities

• Extract insights from large datasets using advanced analytics.
• Design robust data solutions to transform raw data into actionable insights.
• Apply ML algorithms to solve complex business problems.
• Build data pipelines and ensure data quality for informed decisions.
• Conduct exploratory/descriptive analyses to inform strategy.
• Develop predictive models using R and MATLAB.

Skills

data analysis

predictive modeling

data science algorithms

machine learning

deep learning

statistical analysis

data pipelines

data quality

programming in R

programming in MATLAB

Education

Bachelor's degree

Tools

TensorFlow

Scikit-Learn

Job description

Jobtailor is seeking a data scientist in Illinois to extract insights from large datasets and build robust data solutions. You will apply machine learning and deep learning techniques to solve complex business problems and transform raw data into actionable insights.

The role requires a Bachelor's degree and at least 1 year of experience, with proficiency in R, MATLAB, TensorFlow and Scikit-Learn. Collaboration with clients and teams is essential to deliver high-quality, data-driven results.