Data Scientist Resume Sample

Data Scientist resume format

This Data Scientist sample runs 7 sections in one column, reverse-chronological, with the experience above the education. In order:

• Header — name, job title, city, email, phone and profile links
• Summary — 39 words, no heading beyond the label
• Experience — 2 roles, 7 bullets, newest first
• Skills — 14 listed under 3 headings
• Education — 2 qualifications
• Certifications — 1
• Languages — English and Hindi

Nothing is centred, nothing is in a table, and no section is a graphic. Everything a parser needs to read is text in the order a human reads it.

The summary this Data Scientist resume opens with

39 words, and it opens on "Data scientist with 5 years…" rather than on what the candidate is looking for.

Data scientist with 5 years building models that reached production and stayed there. Focused on credit risk and demand forecasting, and just as interested in whether a model survives contact with a business process as in its offline AUC.

It is written to be read in one pass: what this Data Scientist does, where, and what they are measured on. Nothing in it repeats a bullet further down verbatim.

What the experience section looks like on a Data Scientist resume

2 roles, 7 bullets, 5 of them carrying a number.

• Senior Data Scientist at PolicyBazaar — Apr 2023 to Present, 4 bullets
• Data Scientist at Mu Sigma — Jun 2020 to Mar 2023, 3 bullets

The line that does the most work here:

Own the health-insurance propensity model scoring 90,000 leads a day, lifting contact-to-conversion 18% over the previous rules engine.

Skills a Data Scientist resume lists

14 skills, split into 3 groups (Modelling, Engineering and Practice) rather than one long comma-separated line.

Modelling

Gradient boosting (XGBoost, LightGBM) · Logistic regression · Time-series forecasting · Survival analysis

Engineering

Python · SQL · Airflow · MLflow · Docker · AWS SageMaker

Practice

Feature stores · Model monitoring and drift · A/B testing · Model documentation for audit

Education and certifications on a Data Scientist resume

2 qualifications, listed after the experience because the experience is what is being hired.

• M.Sc in Statistics · Indian Statistical Institute · 2018–2020 · First class
• B.Sc in Statistics · University of Delhi · 2015–2018 · First class

Certifications, named in full with the year:

• AWS Certified Machine Learning - Specialty (2024)

ATS keywords in this Data Scientist sample

An applicant tracking system matches text. These 17 terms are the ones this document actually contains — its skills, the titles it has held, the certifications it names — not a wishlist bolted onto the bottom of the page.

• Gradient boosting
• Logistic regression
• Time-series forecasting
• Survival analysis
• Python
• SQL
• Airflow
• MLflow
• Docker
• AWS SageMaker
• Feature stores
• Model monitoring and drift
• A/B testing
• Model documentation for audit
• Senior Data Scientist
• Data Scientist
• AWS Certified Machine Learning

Check which of these your own resume is missing →

What goes wrong on Data Scientist resumes

Each of these is what the sample above avoids, with the sample's own line as the evidence:

• Bullets that list duties instead of results. 5 of the 7 here carry a number: "Mentored 4 junior analysts through their first modelling projects."
• An objective that runs five lines and says nothing. This summary is 39 words.
• One undifferentiated list of every tool ever opened. This sample separates Modelling, Engineering and Practice.
• Undated roles, which read as a gap being hidden. Every role here is dated, Jun 2020 to Present.
• Certifications mentioned inside a paragraph. This one lists them separately, starting with AWS Certified Machine Learning - Specialty (2024).
• A contact line a recruiter has to hunt for. Here it is the first thing on the page, one line under Nikhil Sharma: city, email, phone, LinkedIn.

What this Indian Data Scientist resume leaves out

The whole header is 6 lines — the name Nikhil Sharma, the job title Data Scientist, the city (Gurugram, India), an email address, a phone number and a LinkedIn link. Six things an Indian resume template will still offer you, none of which are here:

• A photograph. The document opens on the name Nikhil Sharma and the title Data Scientist, which is what a shortlisting screen reads.
• Date of birth, age, marital status and gender. None of them predict whether a Data Scientist can do the work.
• Father's or husband's name, which belongs on a form, not on a resume.
• A full postal address. The city line is "Gurugram, India" and stops there — recruiters filter on the city.
• Current and expected CTC. It is a negotiation, and it is not a qualification.
• A declaration paragraph with a signature. The document ends on the certifications.

Naukri headline for a Data Scientist

Naukri shows a resume headline at the top of the profile, and it is the line a recruiter reads before opening anything. Built from this sample — its title, the experience it shows, the skills it leads with — it reads:

Data Scientist | 6 yrs | Gradient boosting (XGBoost, LightGBM), Logistic regression, Time-series forecasting, Survival analysis

Every term in it appears in the document below, so the profile and the resume answer the same search instead of two different ones.

Fresher or experienced: which version of this Data Scientist resume you need

This one is written at 6.2 years of experience — Mid-Level, 3-8 yrs.

As a fresher in the same role, invert it: M.Sc in Statistics, Indian Statistical Institute moves to the top, internships and coursework carry the middle of the page, and the summary names the skills instead of the scope.

See every mid-level sample (3-8 yrs) →