IBM is looking to solve business and technical problems for its clients across the globe by improving their hybrid cloud and AI journey
Requirements
Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, IST, or a related field
Familiarity with one or more scripting languages (Python preferred), or a proven computer science foundation
Demonstrate familiarity or interest in statistical analysis or data mining through previous internships, personal/academic projects, hackathons, and/or publications
General familiarity with databases, data-engineering tools (SQL, spark) and cloud platforms (e.g., IBM Cloud, Azure, AWS)
Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas, PyTorch) is a plus
Responsibilities
Mentored Analytical Support: Receive mentorship from diverse professionals in science engineering and consulting applying analytical rigor and statistical methods to predict behaviors
Data Integrations: Develop skills in writing efficient and reusable programs to cleanse integrate and model data
Effective Communication: Assist in conveying analytical results to both technical and non-technical audiences, refining your ability to communicate complex findings
Tech-Driven Data Transformer: Utilize program languages like Python to build data pipelines, extracting and transforming data from repositories to consumers
Other
High School Diploma/GED
Strong Interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment
Ability to work in-office, on-site in State College, PA during the academic year
Ability to work up to 20 hours per week when classes are in session (e.g., fall and spring semesters) and availability to potentially work up to 40 hours per week during academic breaks (e.g., summer)
Must have the ability to obtain and maintain a Federal clearance, if necessary, for your client assignment
