Resume & ATS · India

Data Scientist resume that gets past ATS

Indian hiring for Data Scientist roles (ML / DS) is competitive across product, fintech, healthtech. Typical packages for solid profiles land around 8–22 LPA, with wide variance by city and company tier. Panels care about model choice with business impact.

Skills language to mirror

When the job description names these — and you have them — use the same wording. Indian ATS and recruiter searches are literal.

Python · ML · statistics · SQL · scikit-learn · experimentation

ATS tips for Data Scientist

• Mirror the JD's exact stack terms when you truly have them — especially Python, ML, statistics.
• Separate academic projects from production models; mention evaluation metrics
• Use standard headings (Summary, Experience, Projects, Skills, Education). Avoid tables and text boxes that break Indian ATS parsers.
• Put the target title (Data Scientist) near the top if it matches the role you want next.

Common mistakes

• Academic projects presented as production models with no evaluation metric.
• Ignoring data leakage / bias when the role is fintech or healthtech.
• Listing every Kaggle notebook as 'experience'.
• No SQL or stakeholder communication — many India DS roles still need both.

Interview angle (preview)

Panels often probe: model choice with business impact. Practise: Explain a model to a PM; overfitting; feature leakage; offline vs online metrics.

Full Data Scientist interview guide →

Related reading: How Indian IT companies screen with ATS · ATS Scanner