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Should be having minimum of 2 - 4 yrs experience in Manual testing. - Experience in deriving Test Strategy, Test Cases Preparation and Execution - Ability to document the test results and log issues in issue tracker. - Strong working knowledge Web & Mobile App Testing (manual & automation) - Discover web application issues using developer tool bar - Well versed with Usability, Functional, System, Regression, Localization and Smoke/Sanity testing - Experience and skills to translate test case requirements into automated end-to-end test scripts - Good knowledge in Automation tools like Selenium, JMeter, Postman API and any other testing tools - Heathcare Domain Knowledge will be a plus
The Jr. Product Manager joining our team will play a central role in driving our product vision. Further, the candidate will get a ringside view of building the most intuitive product that adds immense value to doctors and patients. What is expected of our Jr Product Manager? Deep understanding of customer experience & requirements Ability to identify current gaps in the product, prioritise them and work cross functionally with UX, Engineering, Marketing and Sales teams to get them implemented and released to the market Own the vision for the product, and devise a roadmap to get there Ability to translate the roadmap into actionable requirements and specifications Assess the competition, and devise strategies to continue to lead the market Evangelise and create awareness among the users about the product Define key metrics for the product with a passion for assessing progress quantitatively Mandatory qualifications: Bachelors degree in CS/IS only and an MBA from tier-1 Indian B-school 1-3 years of work experience building successful SaaS products We look for individuals with excellent clarity in thinking, superb communication skills and a natural willingness to travel and meet customers across India to understand firsthand their stated and unstated needs from our product.
Responsibilities for Data Scientist : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. - Assess the effectiveness and accuracy of new data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. - Develop company A/B testing framework and test model quality. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. Qualifications for Data Scientist : - Strong problem solving skills with an emphasis on product development. - Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. - Experience working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and techniques. - We're looking for someone with 8-10 years of experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools : - Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc. - Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. - Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. - Experience using web services: Redshift, S3, Spark, DigitalOcean, etc. - Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. - Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc. - Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. - Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Job Description :- 2+ years of software development/engineering experience in Web technologies- Hands-on experience in HTML, CSS, Java Script, Node JS, D3js.- Advanced knowledge of multiple software development languages and proficiency in all related languages- Advanced knowledge of relevant operating systems and communication interfaces- Proven track record in making significant contributions to team efforts.- Excellent interpersonal skills
2+ years of software development/engineering experience in Web technologies Hands-on experience in HTML, CSS, Java Script, Node JS, D3js. Advanced knowledge of multiple software development languages and proficiency in all related languages Advanced knowledge of relevant operating systems and communication interfaces Proven track record in making significant contributions to team efforts. Excellent interpersonal skills
