Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques.
Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems
Collaborate with product management and engineering groups to develop new products and features.

Requirements

Currently enrolled full time and pursuing a Bachelors, Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2026 – June 2027
Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
Proficient in one or more programming languages such as Python, Java and C
Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn
Strong analytical and quantitative problem-solving ability.
Excellent communication, relationship skills and a team player
Ability to participate in a full-time internship between May-September

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statistical modelingmachine learningdeep learningdata analyticsPythonJavaCRMatlabscikit learn

Soft Skills

analytical problem-solvingquantitative problem-solvingcommunication skillsrelationship skillsteam player

Certifications

Bachelors degreeMaster’s degreePhD degree