SDET

Role : Sr Data Scientist / Tech Lead – Data Science

Number of positions : 8

Responsibilities

• Lead a team of data scientists, machine learning engineers and big data specialists
• Be the main point of contact for the customers
• Lead data mining and collection procedures
• Ensure data quality and integrity
• Interpret and analyze data problems
• Conceive, plan and prioritize data projects
• Build analytic systems and predictive models
• Test performance of data-driven products
• Visualize data and create reports
• Experiment with new models and techniques
• Align data projects with organizational goals

Requirements (please read carefully)

• Very strong in statistics fundamentals. Not all data is Big Data. The candidate should be able to derive statistical insights from very few data points if required, using traditional statistical methods.
• Msc-Statistics/ Phd.Statistics
• Education – no bar, but preferably from a Statistics academic background (eg MSc-Stats, MSc-Econometrics etc), given the first point
• Strong expertise in Python (any other statistical languages/tools like R, SAS, SPSS etc are just optional, but Python is absolutely essential). If the person is very strong in Python, but has almost nil knowledge in the other statistical tools, he/she will still be considered a good candidate for this role.
• Proven experience as a Data Scientist or similar role, for about 7-8 years
• Solid understanding of machine learning and AI concepts, especially wrt choice of apt candidate algorithms for a use case, and model evaluation.
• Good expertise in writing SQL queries (should not be dependent upon anyone else for pulling in data, joining them, data wrangling etc)
• Knowledge of data management and visualization techniques --- more from a Data Science perspective.
• Should be able to grasp business problems, ask the right questions to better understand the problem breadthwise /depthwise, design apt solutions, and explain that to the business stakeholders.
• Again, the last point above is extremely important --- should be able to identify solutions that can be explained to stakeholders, and furthermore, be able to present them in simple, direct language.

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We are seeking a talented and creative UI/UX Designer with strong graphic design skills to join our team.

As a UI/UX Designer, you will play a crucial role in creating intuitive and visually appealing user interfaces for our digital products.

Additionally, you will be responsible for creating eye-catching social media posters and other graphic designs to enhance our brand presence.

• Proven experience as a Quality Assurance Tester or similar role

• Experience in project management and QA methodology.

• Ability to document and troubleshoot errors

• Working knowledge of test management software (e.g. Selenium, appium, Katalon, zika etc.) and SQL

• Understanding Test Requirements and analyzing the Application under Test(AUT)

• Generating Test Cases (Test Scripts) using Selenium Element locators and WebDriver API Commands.

• Enhancing Test cases using Java Programming.

• Debugging Test Cases and Fixing Errors.

• Executing/Running Test Cases

• Defect Reporting & Tracking

• Test Reporting

• Basic Understanding of Functional and Regression Test Automation

• Automation Framework Design & Implementation

• Testing of web and mobile apps (Android and iOS)

• knowledge of Java Programming

• Excellent communication skills

• Analytical mind and problem-solving aptitude.

We are looking for a Node.js Developer who is proficient with writing API's, working with data, using AWS and capable of applying algorithms mainly machine learning-based to solve problems and create/modify features for our students. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well.

Responsibilities

• Integration of user-facing elements developed by front-end developers with server-side logic
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Implementation of security and data protection
• Use of algorithms to drive data analytics and features.
• Ability to use AWS to solve scale issues.