: 2-4 years preferred/Fresher not eligible to apply
Salary :
25000 to 35,000 per Month
Job Summary
:
We are looking for a highly competent
Subject Matter Expert (SME) in Statistics
to contribute to academic content development, course material creation, and quality assurance. The ideal candidate will have deep expertise in statistical theory and applications, and a passion for simplifying complex concepts for learners or clients.
Key Responsibilities
:
Develop and review high-quality statistical content for academic, technical, or corporate use, including case studies, reports, and research papers.
Conduct descriptive and inferential data analysis using SPSS and other statistical tools.
Assist in formulating research hypotheses, performing hypothesis testing, and interpreting results in line with research objectives.
Prepare clear, well-structured written explanations of statistical concepts, models, and output for non-technical audiences.
Guide clients or internal teams on statistical techniques such as regression, ANOVA, chi-square, factor analysis, and multivariate models.
Review and validate statistical sections in dissertations, journal articles, or project reports.
Collaborate with cross-functional teams including content writers, editors, and domain experts to ensure accuracy and coherence of statistical elements.
Maintain updated knowledge of the latest trends, methodologies, and best practices in statistics and data analysis.
Core Areas of Expertise
(as applicable):
Descriptive & Inferential Statistics
Probability Theory and Distributions
Hypothesis Testing
Regression Analysis (Linear & Logistic)
ANOVA, Chi-square, T-tests
Statistical Inference
Time Series Analysis
Sampling Techniques
Data Interpretation
Experimental Design
Required Qualifications
:
Master's or Ph.D. in
Statistics,
Strong foundation in both
theoretical and applied statistics
.
Experience in content creation, teaching, academic writing, or research (preferred).
Desired Skills
:
Proficiency in
statistical tools
like R, Python, SPSS, SAS, Stata, or Excel.
Familiarity with
e-learning tools or platforms
(e.g., Moodle, Canvas, or proprietary LMS).
Strong
written communication
and
academic writing
abilities.
Ability to explain complex statistical ideas in a
clear, simple, and engaging manner
.
Attention to detail and commitment to
quality and accuracy
.
Contact :
9566269922
Job Type: Full-time
Pay: From ?35,000.00 per month
Benefits:
Cell phone reimbursement
Paid sick time
Provident Fund
Schedule:
Day shift
Supplemental Pay:
Performance bonus
Work Location: In person
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