We are looking for an experienced and passionate Software Tester to join our team! As a Software Tester at our company, you will have the opportunity to work on new and exciting projects and develop your career. Software Tester duties and responsibilities collaborate closely with other team members and departments Software Tester requirements and qualifications X years of experience as a Software Tester or similar role Ability to handle multiple tasks simultaneously X years of experience in data analysis HHS EPLC experience preferred Ability to work in a fast paced environment with minimal supervision Sense of ownership and pride in your performance and its impact on company’s success Critical thinker and problem-solving skills Team player Good time-management skills Great interpersonal and communication skills What we are looking for:1. Analyzing users stories and/use cases/requirements for validity and feasibility2. Experience working with (or having a good understanding of) different mobile development techniques - Native, Hybrid, Cross-Platform. 3. Collaborate closely with other team members and departmentsPassionate programmers with expertise in developing applications for the Android platform. 4. Execute all levels of testing (System, Integration, and Regression)5. Design and develop automation scripts when needed6. Detect and track software defects and inconsistencies7. Apply quality engineering principals throughout the Agile product lifecycle8. Ability to work in a variety of client settings and in a team-oriented, collaborative environment. 9. Strong communication and client-facing skills with the ability to work in a consulting environment. People who have experience and understanding of a variety of mobile platforms and toolsets. 10. People who have the ability to judge and recommend appropriate platform choices given context about a particular application.
About the job: - You will architect, code and deploy ML models (from scratch) to predict credit risk. - You will design, run, and analyze A/B and multivariate tests to test hypotheses aimed at optimizing user experience and portfolio risk. - You will perform data exploration and build statistical models on user behavior to discover opportunities for decreasing user defaults. And you must truly be excited about this part. - You’ll use behavioral and social data to gain insights into how humans make financial choices - You will spend a lot of time in building out predictive features from super sparse data sources. - You’ll continually acquire new data sources to develop a rich dataset that characterizes risk. - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. About you: - You’ve strong computer science fundamentals - You’ve strong understanding of ML algorithms - Ideally, you have 2+ years of experience in using ML in industry environment - You know how to run tests and understand their results from a statistical perspective - You love freedom and hate being micromanaged. You own products end to end - You have a strong desire to learn and use the latest machine learning algorithms - It will be great if you have one of the following to share - a kaggle or a github profile - Degree in statistics/quant/engineering from Tier-1 institutes.