Python Developer / Big Data Engineer_ Stuti Tripathi_Bloom Value

We are hiring for Python Developer / Big Data Engineer.

• 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 maximization, 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 techniquesKey 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)
• 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