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| Job Location | Pune |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Banking / Financial Services |
| Functional Area | Sales / BDMarketing / Communication |
| EmploymentType | Full-time |
* Duties and Responsibilities - KEY ROLES AND RESPONSIBILITIES DATA SCIENCE Use ML/AI techniques to deploy high standard production models to build actionable insights derived from customer behaviours across various touchpoints, digital assets and their product portfolio. Exploration of different forms of data to identify patterns and provide actionable insights. Manage deployment of ML models from research to production environments. Use predictive analytics and machine learning techniques to solve complex problems and drive business decisions with focus mainly on building recommendation engine, campaign management, campaign optimization etc. Draw inferences and conclusions, and create dashboards and visualization of processed data, identify trends and anomalies. Employ the suitable algorithms to generate the higher sales numbers, channel optimization. Ensuring that rigorous design and development practices are followed in the design of models Implement techniques such as offline learning, online learning, zero shot learning, etc. to continuously improve the accuracy of the models. Text analytics Use cases of sentiment analysis, building customized blogs experience and elastic search functionalities. PROJECT MANAGEMENT Collaborate closely with Business teams, performance management teams,and external vendors to build innovative solutions Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions Manage and adhere to the project timelines, defined SLAs and KPIs. , * 5+ years of experience working in Analytics / Data Science domain with atleast 3 years of experience in production environment. B.E./BTech/MSc in Stats or mathematics is preferred. Strong hands-on experience on Python with PySpark and R. Exposure to advanced deep learning techniques such as LSTM. CNN, Dense neural networks as well as neural networks design and implementation through tools like tensorflow, keras, pytorch, deepai or equivalent. Experience of working in multiple text mining / NLP solution Should have experience of deploying and putting into production ML based solution Good SQL expertise Experience with Stream Analysis and ML with tools such as Spark, Apache Flink, etc Experience with one or more public clouds (AWS, GCP, Azure) Experience in statistical techniques such as regression, cluster analysis, K-means, Random Forest, text mining techniques. Knowledge of advanced machine learning techniques and well versed with open source technologies Conceptual knowledge of relationship databases, cloud solutions Hands on experience on open source technologies. APTITUDE A driver personality. A bias toward action, great collaborator and skilled disambiguator/simplifier - constantly fostering clarity and delivery Grittiness - You dont hesitate to take initiative and address something hands-on, you persevere when others give up Ability to take initiative with data - you just go get the data you need with no fuss and can turn it into a thoughtful story. You know how to leverage data to make decisions without getting stuck in paralysis by analysis Strong individual contributor Strong project management skills and innovative approach to problem solving and finding solutions Excellent communicator (written and verbal, formal and informal) Flexible and self-motivated working style with strong personal ownership of problem resolution
Keyskills :
teammanagement customerrelations delivery documentation automation clusteranalysis managementskills projectmanagement ndepthanalysis