Internship - Seeking Data Scientist Intern that prioritizes work/life balance(Masters/Ph.D. candidates only)
Auto Import<div>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. <br></div><div><br></div><div><u>[<i>Note: As part of the application process, candidates must complete the pre-screening behavioral assessment form. Without it, we will not consider candid</i><i>ates for this position.</i>]</u><br></div><br><h3>Requirements</h3><div>• Pre-final year student in Statistics/Math, Computer Science, Finance/Economics, or related quantitative fields (Ph.D. candidates encouraged to apply) <br></div><div>• Experience using ML libraries, such as Scikit-learn, caret, NLTK or spark MLlib<br></div><div>• Excellent Software skills (proficiency in Python - Data Science stack) <br></div><div>• Build statistical and ML models to evaluate the historical performance and define predictive and prescriptive solutions<br></div><div>• Data Engineering experience/coursework and ability to integrate multiple data sources<br></div><div>• Has in depth working knowledge of SQL, relational databases, and a solid foundation in MS-Excel<br></div><div>• Experience using data visualization tools such Power BI, Tableau, etc.<br></div><div>• Comfortable with UNIX Operating System<br></div><div>• Knowledge of Docker and Git<br></div><div>• Strong analytical, design, problem-solving, and troubleshooting/debugging skills<br></div><div>• Ability to work independently in a home office and doesn’t need hand holding<br></div><div><br></div><div>What You’ll Do, But Not Limited To:<br></div><div><br></div><div>• Under the general direction of senior researchers, conduct empirical research using public and proprietary data<br></div><div>• Data gathering, data cleaning, building data models, and maintaining datasets<br></div><div>• Complete data preparation, data testing using Python (ETL), and a big part of day-to-day function<br></div><div>• Develop dashboards, charts, and visual aids to support decision making<br></div><div>• Utilize statistical techniques to help develop analytic insights, sound hypotheses, and informed recommendations<br></div><div>• Conduct ad hoc quantitative analyses, modeling, or programming using Python and SQL<br></div><div>• Diagnosing and resolving issues in production<br></div><div>• Enhancing and developing all aspects of the company’s technology suite by collaborating with development teams to determine application requirements<br></div><div>• Assessing and prioritizing client feature requests<br></div><div><br></div><div>Who You Are:<br></div><div><br></div><div>• Highly Quantitative - your skills are the envy of all your friends<br></div><div>• Reliable, Independent, and able to wear multiple hats<br></div><div>• Honest - we hold transparency with high regard<br></div><div>• Team Player - likes collaborating and working as a team<br></div><div>• Communicative - Strong verbal and written communication skills<br></div><div>• Self-Starter - able to take ownership of projects and identify what needs to be done<br></div><div>• Builder - You are passionate about delivering better products/experiences to our customers and have a deep sense of ownership for your work<br></div><div>• Experimental - You love trying new things, new tools, techniques and approaches even if you fail sometimes<br></div><div><br></div><div>Nice To Have:<br></div><div><br></div><div>• Pursuing/Completed Ph.D./Masters in Finance, Economics or Business<br></div><div>• Have built quantitative models either in course work or in other internships is a plus<br></div><div>• Intellectually curious and eager to learn about Finance (Investments and Corporate Finance)<br></div><div>• Prior internship experience in Financial Services<br></div><br><h3>Benefits</h3><div>• Flexible Hours</div><div>• Competitive Stipend/Salary<br></div><div><br></div><div>Note:<br></div><div><br></div><div>• Zero-tolerance policy for plagiarism on the screening test. Any indication that the submission contains a solution generated by AI platforms like ChatGPT will lead to immediate disqualification.<br></div><div>• Please only submit your assignment as a zip attachment in an email. Any other forms of submission will be auto-rejected<br></div><div>• Preference will be given to candidates from top schools at Pune University, Mumbai University, NIT, IISER, TIFR, IIT, ISI or a top schools in USA/UK<br></div><br>