Intern - Data Science

April 16

ConsumerAffairs

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Make big purchases no big deal

Consumer reviews • Review platform • Product Recalls • Brand Management

201 - 500

Description

• As a Data Science Intern, you will be responsible for suggesting and conducting analytics to support several teams throughout the company, such as Product, Traffic, Marketplace, and Finance • You’ll assist in developing predictive models that will help grow the business by identifying the highest-converting leads and providing novel insights to our clients • You will work closely with internal and external stakeholders to understand their business needs, determine and propose which kinds of analyses will be required to improve their processes, and assess which data will need to be collected to that end • Your insights will guide the decisions made by stakeholders to grow the business

Requirements

• Master’s Degree in Mathematics, Engineering, Statistics, Economics or related analytic field (completed or in progress), or equivalent work experience • Minimum of 2 years of experience using at least one of R and Python, or similar languages • Minimum 1 year of experience in a relevant position involving the analysis of data and creation of reports • Minimum 1 year of experience using SQL or similar language • Experience with time series analysis and natural language processing (NLP) • Knowledge of programming languages such as SQL, Python, or R • Knowledge of popular data science toolkits, such as Python’s Scikit-Learn, Keras, TensorFlow and Pytorch • Ability to communicate complex information in a direct and actionable fashion • Familiarity with Business Intelligence tools (such as Tableau) and databases architecture (such as Snowflake) preferred • Strong analytical and Problem Solving skills • Strong verbal and written communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders • Ability to prioritize tasks, meet aggressive deadlines, and work independently as well as collaboratively in a team environment

Benefits

• Practical experience with varied business activities • Shadowing, mentoring, and training opportunities with experienced and accomplished business professionals • Opportunity to participate in networking events and company meetings • Flexible schedule for students • Compensation provided • Remote Work