SciPy Jobs in Bangalore (Bengaluru)

About the role :We are looking for a highly-skilled, experienced, and passionate Data Science leader who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, have built platforms from scratch and have a track record of developing and deploying data-science models into live applications.What you will do :- Leading the data science function, building the roadmap and setting up the best practices- Collaborate with and influence leadership to ensure Data Science directly impacts strategy- Drive an organizational effort toward a better understanding of user needs and pain points, and propose solutions that data science can provide to further this goal- Build and deploy Machine Learning models in production systems- Building platforms from scratch to solve image recognition and context understanding problems, and also improving search- Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.   - Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations- Develop comprehensive knowledge of data structures and metrics, advocating for changes, where needed for product development.- Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information- Research and develop analysis, forecasting, and optimization methods to improve the product quality- Build and prototype analysis pipelines iteratively to provide insights at scale.- Building/maintaining of reports, dashboards, and metrics to monitor the performance of our products- Develop deep partnerships with engineering and product teams to deliver on major cross-functional measurements, testing, and modellingWhat you need :- Experience in OCR, Elastic Search, NLP and Python libraries - Pandas, NumPy, SciPy, TensorFlow, Scikit-learn- BS/BE/MS/PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics or equivalent years of experience- 10+ years of experience in data science, algorithmic engineering, and machine learning.- Preferably solved problems from scratch to scale- Experience in hiring, managing and mentoring data science, data engineering, and analytics teams- Experience designing a data science roadmap and executing the vision behind it- Experience in handling data (structured+unstructured), building and deploying data science models (Regression, Decision Trees, K-Means, etc.) in production systems- Experience doing quantitative analysis including experience with SQL or other programming languages (Python, R). Experience with large data sets and analytical tools, e.g. Hive, Spark - Experience communicating the results of the analysis to an executive audience- Experience instilling a culture of ownership, collaboration, and results- Track record of recruiting talent in analytics and data science- Track record of delivering data-driven products and insights