AI/ML Data Science - Intern (Part-time)

Job description:

Do you have an inquisitive mind, an ability for self-learning and abstraction along with a risk appetite for experimentation and failure? Come join us t for a unique 3 months Data Science internship at our Gurgaon office. You will work with real-time data streams from IOT devices installed across India. Collaborate with cross-functional teams including but not limited to Engineering (hardware, mobile, web), Products, Operations, Sales, Marketing, etc. to breakdown complex problems and recommend data driven solutions
ZunRoof is a home-tech company, powered by a mix of Image Processing, VR, IOT and Data Analytics. With a founding team of IIT Kharagpur, IIT Delhi and IIT Kanpur alumni, we are solving energy issues of India by using un-utilised rooftops for solar, and by providing sense and control of every appliance in one's house. Our design and delivery applications are ensuring all-time high adoption and higher output per kW of solar - within 30 months of starting up, we are already the #1 choice for residential and SME clients in India for solar
Intern’s day to day responsibilities include -
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Research data models and develop custom models and algorithms to apply to data sets
Use machine learning and analytical techniques to create scalable solutions for problems
Contribute to the development/deployment of machine learning algorithms
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes

No. of Positions available: 1

Skill(s) required:

What we need?
Strong problem solving skills with an emphasis on product development
Able to work with and create data architectures
A very clear understanding of probability and statistics, analytical approach to problem solving, and capability to think critically on a diverse array of problems
Familiarity with some Supervised Machine Learning Algorithms: Predictive Analytics, Logistic Regression, Bayesian Approach, Decision Trees, Support Vector Machines. Neural Networks etc.
Understanding of advanced algorithms (i.e. Deep Learning, Probabilistic Graph Models) will be good to have
Familiarity with statistical methods such as hypothesis testing, forecasting, time series analysis, etc - gained through work experience or graduate level education
Knowledge of one or more of Python, Java, C++, R etc.
Experience with relational databases, NoSQL databases such as MongoDB, Elastic Search, Redis or any graph database
Skilled at data visualization and presentation

Who can apply:

Pursuing Bachelors in Computer Science, Mathematics, Operational Research, Statistics or Natural Sciences
Experience in data science and statistical modeling through coursework, projects, competitions or prior internships

About Us:

We are a home-tech start-up, powered by a mix of Image Processing, VR, IOT and Data Analytics. We are solving energy issues of India by using un-utilised rooftops for solar, and by providing sense and control of every appliance in one's house.