Data Scientist Intern Description
Tal Solutions®, a NYC-based boutique big data consulting firm, specializes in helping its clients gain value from their own data – and data everywhere – by providing data analytical services using proven strategies, methodologies, and frameworks. Tal Solutions is currently developing unique and pioneering data-driven application products. Tal Solutions is looking for an Intern to assist in a variety of data science, business analysis, and programming projects needed for product continuity.
Study consumer marketplace regarding customer complaints/dissatisfaction in financial services, healthcare, transportation, and public works industries
Using the PositivityTech product platform to perform business intelligence that will drive interest in the product. Create PowerPoint and/or pdf presentations using the insights for sales.
Identify and analyze unstructured (e.g., text) and structured (e.g., numeric) data/information that has potential predictive value. Perform appropriate statistical and/or business analysis to develop and/or evaluate text-based models or scores. Document and present findings.
Write scripts or coding to audit changes made to the PositivityTech production platform; Identify issues and resolve with business partner.
Pursuing a graduate degree in Computer Science, Engineering, Statistics or Math related degree
Must be experienced in natural language processing, machine learning, business analysis, and statistical model building.
Ability to code using python
Experience using open source libraries and packages, such as NLTK, Scikit-learn, Pandas, TensorFlow, etc.
Must have intellectual curiosity in using data to discover hidden/unknown knowledge and insights.
Must have excellent analytic as well as written and verbal skills
Must have access to own computer and analytic software packages; proficiency in Microsoft Office products (Word, PowerPoint, Excel) also required
Results oriented; individual must be a quick learner, organized, and flexible;
Must be able to work remotely and independently as well as with a small team of diverse professionals