Zunpulse - Data Scientist

- 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