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.]

Requirements

• 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

Benefits

• 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