Data Scientist Intern

Numerade is seeking a Data Scientist Intern to join our mission.  You will have the opportunity to collaborate with partners across the company, and push the boundaries of leveraging data to improve student and educator success!

In this role, you’ll get to:

• Solve complex business problems by leveraging our available data or by creating new datasets in collaboration with engineering teams
• Generate actionable insights for the business using statistical and data visualization techniques
• Collaborate with product/engineering teams to design and analyze experiments to optimize business metrics
• Communicate results and impact to product and business stakeholders 
• Turn models into data products, collaborate with engineering and business teams

Requirements:

• Must be available to work continuously on a full time (40 hours+ / week) and long term basis throughout the year (not just during winter or summer breaks)
• Must be eligible to work in the U.S. without sponsorship (CPT / OPT is permitted). 

Required skills:

• Advanced Proficiency in Python programming, with expertise in the Pandas library.
• Advanced Proficiency in SQL and relational databases such as MySQL, Postgres, and Redshift.
• Advanced Proficiency in using JupyterLab/Jupyter notebooks as the coding environment.
• Strong data visualization and presentation skills.
• Ability to perform data analysis tasks, including writing SQL queries, data wrangling (filtering, subsetting, aggregating, merging), and executing data visualization and presentation strategies to provide actionable insights.
• Strong analytical and problem-solving skills, with the ability to convert vague business questions into concrete, actionable steps.

Additionally you are:

• MS, Current Student or Working Professional with (or working towards) degree in data science, business analytics, computer science, information retrieval, statistics, or another quantitative/computational discipline. 
• Excited to get real world Data Science experience in a fast paced startup environment. 
• Extremely self-motivated, high-agency, and curious about the problems that you're working on. 
• Comfortable in handling and working with large datasets in the scale of hundreds of GBs and billions of rows.
• Experience with manipulating large structured or unstructured datasets for analysis.
• Familiarity with A/B tests and experiment design.
• Familiarity with AWS environment especially AWS Sagemaker, Lambda, Eventbridge, S3 and EC2.
• Experience with recommendation systems and personalization a plus. 
• Familiarity with classification, regression,forecasting and clustering ML algorithms like Xgboost, logistic regression, ARIMA, k-means, neural networks, transformers, GNNs, etc is a plus.
• Experience using NLP methods a plus.
• Experience building statistical inferential models a plus .
• Experience with building data products, either internal or consumer-facing a plus.
• Have a passion for empirical research and for answering hard questions with data. 
• Have a proven record of solving challenging problems in academia and/or industry. 
• Eager to collaborate with both technical and non-technical colleagues in content, product management, marketing, and executive leadership groups.
• Excellent analytical and problem-solving skills. 
• Strong oral and written communication skills.