5+ Regression analysis Jobs in India
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Review Criteria:
Mandatory:
- Strong UAT / Functional Test Lead Profiles
- Must have minimum 7 years of overall testing experience, with at least 3 years of recent UAT experience, primarily in manual testing for large enterprise or government project
- Must have worked on minimum 2 national-level e-Governance, public sector, enterprise, or marketplace projects in a UAT lead or ownership role
- Must have 3+ years of team handling experience, leading 7–8 QA/UAT members, including task assignment, review, mentoring, and delivery ownership
- Must have complete ownership of UAT activities, including UAT planning, execution, acceptance sign-off, defect management, retesting, and regression cycles.
- Must have strong hands-on manual testing experience, with the ability to create test scenarios and test cases from BRDs, user stories, functional documents, and Figma/UI screens.
- Must be able to understand HLD/LLD documents and API specifications and perform manual API testing based on business logic.
- Must have BE/BTech/MTech/MBA (BSc/BCA alone is not acceptable; with Bsc/BCA candidates must have a relevant postgraduate degree MCA/MTech)
Preferred:
- ISTQB Advanced Test Manager or equivalent is preferred
Ideal Candidate:
- 8 + years’ experience in UAT, with at least 2 National-level e-Governance solutions / Enterprise platforms / Marketplace projects.
- Proficiency in test planning, execution oversight, acceptance criteria definition, defect triage, regression cycle management.
- Proficient in understanding business requirements by going through BRDs, User Stories, Figma screens to define test scenarios and test cases.
- Ability to analyze high level and low-level design documents, API specifications to identify the business logic developed and create test cases to test the APIs.
- Hands-on experience of defining high quality test scenarios, test cases with ability to review and guide the test team members in doing the same.
- Education/Certifications: B.E./ B.Tech. / MTech/ MCA/ MS (Computer Science/IT)/ISTQB Advanced Test Manager or equivalent required.
Software Test Engineer (Manual & Automation)
We are looking for a skilled Software Test Engineer to join our team. The ideal candidate should have experience in both manual and automation testing, with a strong attention to detail and the ability to work in a fast-paced environment.
Responsibilities:
1. Develop and execute test cases, scripts, plans, and procedures (manual and automated) to ensure the quality of software products
2. Identify, record, document thoroughly, and track bugs
3. Perform thorough regression testing when bugs are resolved
4. Collaborate with cross-functional teams to ensure quality throughout the software development life cycle
5. Investigate the causes of non-conforming software and provide solutions
Requirements:
1. Bachelor's degree in Computer Science, Engineering, or related field
2. 2-3 years of experience in software testing in both manual & automation
3. Strong knowledge of software QA methodologies, tools, and processes
4. Experience in writing clear, concise, and comprehensive test plans and test cases
5. Hands-on experience with both white box and black box testing
6. Experience working in an Agile/Scrum development process
7. Experience with performance and security testing is a plus
8. Strong analytical and problem-solving skills
9. Excellent communication and teamwork skills
Company Profile:
The company is World's No1 Global management consulting firm.
Job Qualifications
Graduate or post graduate degree in statistics, economics, econometrics, computer science,
engineering, or mathematics
2-5 years of relevant experience
Adept in forecasting, regression analysis and segmentation work
Understanding of modeling techniques, specifically logistic regression, linear regression, cluster
analysis, CHAID, etc.
Statistical programming software experience in R & Python, comfortable working with large data
sets; SAS & SQL are also preferred
Excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify
root causes and recommend solutions
Excellent time management skills
Good written and verbal communication skills; understanding of both written and spoken English
Strong interpersonal skills
Ability to act autonomously, bringing structure and organization to work
Creative and action-oriented mindset
Ability to interact in a fluid, demanding and unstructured environment where priorities evolve
constantly and methodologies are regularly challenged
Ability to work under pressure and deliver on tight deadlines
- Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance
- Performing data exploration, cleaning, preparation and feature engineering; in addition to executing tasks such as building a POC, validation/ AB testing
- Collaborating with data engineers & architects to implement and deploy scalable solutions
- Communicating results to diverse audiences with effective writing and visualizations
- Identifying and executing on high impact projects, triage external requests, and ensure timely completion for the results to be useful
- Providing thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders
What you need to have:
- 2-4 year experience in machine learning algorithms, predictive analytics, demand forecasting in real-world projects
- Strong statistical background in descriptive and inferential statistics, regression, forecasting techniques.
- Strong Programming background in Python (including packages like Tensorflow), R, D3.js , Tableau, Spark, SQL, MongoDB.
- Preferred exposure to Optimization & Meta-heuristic algorithm and related applications
- Background in a highly quantitative field like Data Science, Computer Science, Statistics, Applied Mathematics,Operations Research, Industrial Engineering, or similar fields.
- Should have 2-4 years of experience in Data Science algorithm design and implementation, data analysis in different applied problems.
- DS Mandatory skills : Python, R, SQL, Deep learning, predictive analysis, applied statistics



