5 years

2 - 4 Lacs

Posted:17 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities

Collect, clean, validate, and structure datasets from multiple sources
Design and apply statistical models to analyze experimental and observational dataConduct hypothesis testing, regression analysis, ANOVA, time-series analysis, etc.Perform predictive modeling and forecastingDevelop dashboards, visualizations, and comprehensive reportsAssist in planning research methodology, sampling strategies, and experiment designsWork with cross-functional teams (R&D, Quality, Business, IT) to solve real-world problemsPresent findings clearly to technical and non-technical audiencesEnsure data accuracy, confidentiality, and compliance with organizational standards

Required Skills & Qualifications

✔ Bachelor’s/Master’s degree in Statistics, Mathematics, Data Science, or related field
✔ Strong knowledge of statistical methods, probability, and experimental design✔ Proficiency in tools/software such as: SPSS, R, Python, SAS, Minitab, Excel, Power BI/Tableau✔ Experience in data cleaning, data visualization, and report writing✔ Strong analytical and problem-solving ability✔ Good communication and documentation skills

Key Attributes

✔ Detail-oriented, logical thinking
✔ Ability to handle complex datasets✔ Teamwork and time-management skills✔ Ethical handling of sensitive data

Job Type: Full-time

Pay: ₹20,000.00 - ₹40,000.00 per month

Benefits:

  • Cell phone reimbursement

Ability to commute/relocate:

  • Malviya Nagar, Delhi, Delhi: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

  • Please share one statistical project detail have worked on, and briefly explain the problem, the statistical methods you used, and the final outcome.

Education:

  • Doctorate (Required)

Experience:

  • Statistical analysis: 5 years (Required)

Location:

  • Malviya Nagar, Delhi, Delhi (Required)

Willingness to travel:

  • 25% (Required)

Work Location: In person

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