Data Science (Full Time)

Job description:

Job Description:

If you are charged up by accomplishing targets and not by excuses, if you want to become an early

age leader, if you have it in yourself to turn the world upside down to achieve what you want to

achieve, if you want to be the one to tell yourself what to do instead of somebody else telling you

what to do, if you want a growth curve in your professional career with a slope whose third

derivative is positive, if you want to be a part of the journey of a home tech startup growing at

300% y-o-y, if unsolved problems keep you restless and sleepless, if you are an aspiring

entrepreneur, if you want to become a co-author in writing a chapter in the success saga of

zunpulse, then this role is meant for you.

We are looking for a Data Scientist who will support our IoT products, sales and marketing teams

with insights gained from analyzing data.
The ideal candidate will be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They

must have strong experience using a variety of data analysis methods, using a variety of data tools,

building and implementing models, using/creating algorithms and creating/running simulations. They

must have a proven ability to build products for mobile apps. They must be comfortable working with

a wide range of functional teams. The right candidate will have a passion for discovering solutions

hidden in large data sets and working with a team to improve product outcomes.

Responsibilities

● Collaborate with cross-functional teams including but not limited to Engineering, Products,

Operations, Sales, Marketing, etc. to breakdown complex problems and recommend data

science products.

● Assess the effectiveness and accuracy of new data sources and data gathering techniques.

● Use machine learning and analytical techniques to create scalable solutions for problems.

● Develop and deploy different ML models and algorithms On production data

● 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

What do we need?

● Degree (B.Tech, MS, or equivalent) in Computer Science, Mathematics, Operational

Research, Statistics or Natural Sciences

● 1-3 years of work experience in data science and statistical modeling

● Strong problem-solving skills with an emphasis on product development.

● Strong Python skills is a MUST

● Experience working with and creating data architectures.



● Very good understanding of probability and statistics, analytical approach to problem solving,

and capability to think critically on a diverse array of problems

● Hands-on experience on statistical methods such as hypothesis testing, Markov laws, time

series analysis/ forecasting, etc.

● Very good understanding and hands on experience of building Machine Learning Algorithms

such as Logistic Regression, Bayesian Approach, Decision Trees, Support Vector Machines.

Tree ensembles etc

● Good presentation skills

● Understanding of advanced algorithms (i.e. Deep Learning, NLP) will be good to have

● Most importantly, an inquisitive mind, an ability for self-learning and abstraction along with a

risk appetite for experimentation and failure

No. of Positions available: 1

Skill(s) required:

● 1-3 years of work experience in data science and statistical modeling

● Strong problem-solving skills with an emphasis on product development.

● Strong Python skills is a MUST

● Experience working with and creating data architectures.

Who can apply:

● Degree (B.Tech, MS, or equivalent) in Computer Science, Mathematics, Operational

Research, Statistics or Natural Sciences

● 1-3 years of work experience in data science and statistical modeling

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.