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. 

•   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) 

•   Build statistical and ML models to evaluate the historical performance and define predictive and prescriptive solutions

•   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

•   Ability to work independently in a home office and doesn’t need hand holding

What You’ll Do, But Not Limited To:

•   Under the general direction of senior researchers, conduct empirical research using public and proprietary data

•   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

•   Enhancing and developing all aspects of the company’s technology suite by collaborating with development teams to determine application requirements

•   Assessing and prioritizing client feature requests

Who You Are:

•   Highly Quantitative - your skills are the envy of all your friends

•   Reliable, Independent, and able to wear multiple hats

•   Honest - we hold transparency with high regard

•   Team Player - likes collaborating and working as a team

•   Communicative - Strong verbal and written communication skills

•   Self-Starter - able to take ownership of projects and identify what needs to be done

•   Builder - You are passionate about delivering better products/experiences to our customers and have a deep sense of ownership for your work

•   Experimental - You love trying new things, new tools, techniques and approaches even if you fail sometimes

Nice To Have:

•   Pursuing/Completed Ph.D./Masters in Finance, Economics or Business

•   Have built quantitative models either in course work or in other internships is a plus

•   Intellectually curious and eager to learn about Finance (Investments and Corporate Finance)

•   Prior internship experience in Financial Services

•   Flexible Hours

•   Competitive Stipend/Salary

Note:

•   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.

•   Please only submit your assignment as a zip attachment in an email. Any other forms of submission will be auto-rejected

•   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