• Citizen

• Full Time

• Direct Hire

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 9th May 2022

Apply advanced statistical and data mining techniques in order to derive patterns from the data

- Generate actionable insights for business improvements

- Analyze raw data - assessing quality, cleansing, structuring it for different analytical projects

- Must have problem solving attitude

- Develop solutions by using cutting edge AI/ML technology to solve business problems ranging from optimization of customer experiences to revenue generation and profit maximisation, and other business outcomes

- Implement analytics solutions into company's Decision Platform contributing to shaping its tech architecture

- Partner with Product and Engineering teams to design data-driven solutions for improving and optimizing product functionalities

- Recommend & implement best practices around the application of predictive modelling

- Work with stakeholders throughout the company to identify opportunities for leveraging company data to drive business solutions

- Assess the effectiveness and accuracy of new data sources and data gathering techniques

Key Skills Required :

- 1-3 years of business experience including analytics, data mining and/or predictive data modelling

- Strong academic background around Machine Learning / Computer Science / Data Analytics and Statistics or related field (Bachelor's Degree required)

- Advance exposure to key Machine learning algorithms (GBM, XGBoost, Random Forest, Neural networks, Bayesian methods, Deep learning, etc.)

- Experience in deploying Machine Learning models in production systems

- Hands on experience in handling large volume of numerical/textual data

- Strong programming skills (R, Python, Java)

- Experience in SQL and noSQL databases

- Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the specific business problem

- Strong communication skills: the ability to both formulate/understand the business problem at hand as well as ability to discuss with non -Data Science background stakeholders