Data Science Intern Job Description Template
Our company is looking for a Data Science Intern to join our team.
Responsibilities:
- Work with stakeholders throughout the organization to identify opportunities for leveraging;
- Present your findings to leaders spanning a wide range of technical expertise;
- Build classifiers, clustering algorithms, and other machine learning models;
- Define reliable, controlled, automated analytic processes;
- Scale and grow Coupa’s big data platform;
- Develop data-driven objectives to assess risks and controls;
- Analyze healthcare data from disparate data sources;
- Work in an agile environment where quick iterations and good feedback is a way of life;
- Contribute to the ideation and brainstorming processes required to develop game-changing products and programs in healthcare;
- Execute analytical work such as segmentation, forecasting, simulation and mathematical programming,
- Document and present results;
- Prioritizes and organizes own work to meet deadlines;
- Continuously look for, and execute upon, opportunities to improve the quality of our data, infrastructure and products;
- Translate complex findings into compelling narratives;
- Design and develop data products to assist consumers with decisions around investments, financial planning, and advice.
Requirements:
- Experience using statistical computer languages (R, Python, SQL, etc.) to query and manipulate;
- Strong problem-solving skills with an emphasis on product development;
- Undergraduate Level Paid Internship;
- Ability to work on computer for long periods of time;
- Part-Time, 25 hours/week, timing and start date flexible;
- Experience with web application development;
- Experience working with large data sets and data analytics;
- Undergraduate or Graduate student seeking a STEM related degree;
- You will graduate in approximately a year and will seriously consider industry jobs, not just academia;
- Technologies used: Python, Pandas, Spark, AWS (EMR, EC2, RDS, S3), Jupyter, Docker, Git;
- You can present something that you have built firsthand and are proud of (e.g., school project, thesis, independent project);
- Programming competency in Python, R, and SQL is a plus;
- Part-Time, 25 hours/week, timing and start date flexible;
- Preferred: Experience with data storage and querying technologies such as Spark, Hadoop;
- Experience translating research questions or business requirements into actionable work.