Data Science Analyst @ Men's Circle India
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Job Details
Role Overview
The Data Science Analyst role at Men's Circle India is a 6-month contract (extendable to full-time) opportunity for candidates with 2 to 5 years of experience. Primarily focused on statistical modeling and data analytics within psychology-based research, you will convert raw and unstructured data into structured insights for program development.
Key Responsibilities
- Design and implement statistical models to extract actionable insights.
- Develop frameworks for repeated data ingestion and transformation.
- Conduct exploratory data analysis and test hypotheses.
- Apply reliability and validity checks on survey-based models.
- Present findings via reports, visualizations, and dashboards.
- Collaborate with internal teams and domain experts.
- Conceptualize and administer science-backed surveys.
Candidate Profile
Candidates should hold a Master’s degree or Ph.D. in Psychology (research) or related fields. Prior experience with open source statistical tools (R, Python, etc.), handling raw survey data, and preferably publication experience is required. Experience with AI-based applications is a plus.
Application Process
To apply, email your resume along with any relevant academic writing, projects, or reflections related to identity, gender, emotions, or community psychology to hello@menscircle.in. Please note that only Bangalore-based candidates will be considered, despite the role being remote with occasional in-person meetings.
Key skills/competency
- Statistical Modeling
- Data Analytics
- Research
- Survey Design
- Data Ingestion
- Python
- R
- Exploratory Analysis
- Data Transformation
- Psychological Research
How to Get Hired at Men's Circle India
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant data analytics and psychology research skills.
- Emphasize technical skills: Showcase proficiency in R, Python, and statistical methods.
- Align with company values: Research Men's Circle India's mission.
- Prepare for interviews: Review survey design and data transformation projects.