Internship - Seeking Data Scientist Intern that prioritizes work/life balance(Masters/Ph.D. candidates only)

We are looking to hire incredible Data Scientists interested in working with a US Startup. If you are truly passionate about designing and building machine learning solutions using python, you’re looking for a job where you can work from anywhere- and we mean anywhere and are excited about gaining experience in a Startup, then this is the position for you. Be it your next vacation spot or a farm out in the country, if you have working internet, you can work remotely from your chosen location. No long commutes or rushing to in-person meetings. Ready to work hard and play harder? Let’s work together. [Note: As part of the application process, candidates must complete the pre-screening behavioral assessment form. Without it, we will not consider candidates for this position.]

• Experience using ML libraries, such as Scikit-learn, caret, NLTK or spark MLlib • Excellent Software skills (proficiency in Python - Data Science stack) • Build statistical and ML models to evaluate the historical performance and define predictive and prescriptive solutions

• Data gathering, data cleaning, building data models, and maintaining datasets • Complete data preparation, data testing using Python (ETL), and a big part of day-to-day function • Develop dashboards, charts, and visual aids to support decision making

• Utilize statistical techniques to help develop analytic insights, sound hypotheses, and informed recommendations • Conduct ad hoc quantitative analyses, modeling, or programming using Python and SQL • Diagnosing and resolving issues in production

• Data Engineering experience/coursework and ability to integrate multiple data sources • Has in depth working knowledge of SQL, relational databases, and a solid foundation in MS-Excel • Experience using data visualization tools such Power BI, Tableau, etc.

• Comfortable with UNIX Operating System • Knowledge of Docker and Git • Strong analytical, design, problem-solving, and troubleshooting/debugging skills

• Has in depth working knowledge of SQL, relational databases, and a solid foundation in MS-Excel • Experience using data visualization tools such Power BI, Tableau, etc. • Comfortable with UNIX Operating System

• Pre-final year student in Statistics/Math, Computer Science, Finance/Economics, or related quantitative fields (Ph.D. candidates encouraged to apply) • Experience using ML libraries, such as Scikit-learn, caret, NLTK or spark MLlib • Excellent Software skills (proficiency in Python - Data Science stack)