KASHII UPDATEZ Everyday Student Requirements & Python Coding Tutorials by Python Kashi
S #2559
Applications open Full-Time Job

Data Scientist III

Meesho

  • Bengaluru, India
  • Not disclosed
  • 4-7 Years
  • Posted Yesterday
HR
Recruiter contact
Recruiter / hiring contact
No public email in this post. Use a source-linked contact instead.

About the role

About the Team

Our Data Science team is the Avengers to Meesho’s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We’ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat.

Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation.

As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.🔍 You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market.

But wait – there’s more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting “Summer of 69” at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ☺️

About the Role

Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist.

In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers.

What you will do

  • Develop models and run experiments to infer insights from hard data
  • Improve our product usability and identify new growth opportunities
  • Understand reseller preferences to provide them with the most relevant products
  • Designing discount programs to help our resellers sell more
  • Help resellers better recognise end-customer preferences to improve their revenue
  • Use data to identify bottlenecks that will help our suppliers meet their SLA requirements
  • Model seasonal demand to predict key organisational metrics
  • Mentor junior data scientists in the team

What you will need

  • Bachelor's/Master's degree in computer science (or similar degrees)
  • 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C
  • Familiarity with Neural Networks, Machine Learning etc.
  • Familiarity with tools like SQL, R, Python, etc.
  • Strong understanding of Statistics and Linear Algebra
  • Strong understanding of hypothesis/model testing and ability to identify common model testing errors
  • Experience designing and running A/B tests and drawing insights from them
  • Proficiency in machine learning algorithms
  • Excellent analytical skills to fetch data from reliable sources to generate accurate insights
  • Experience in tech and product teams is a plus

Bonus points for

  • Experience in working on personalization or other ML problems
  • Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

About us

Welcome to Meesho, where every story begins with a spark of inspiration and a dash of entrepreneurial spirit. We're not just a platform; we're your partner in turning dreams into realities.

Curious about life at Meesho? Explore our Glassdoor - our people have a lot to say and they've helped us become a loved workplace in India.

Our Mission

Democratising internet commerce for everyone — Meesho (Meri Shop) started with a single idea in mind: to be an e-commerce destination for Indian consumers and to enable small businesses to succeed online.

We provide our sellers with benefits such as zero commission and affordable shipping solutions in the market. Today, sellers nationwide are growing their businesses by tapping into Meesho’s large and diverse customer base, state-of-the-art tech infrastructure, and pan-India logistics network through trusted third-party partners.

Affordable, relatable merchandise that mirrors local markets has helped us connect with internet users and serve customers across urban, semi-urban, and rural India. Our unique business model and continuous innovation have established us as a part of India’s e-commerce ecosystem.

Culture and Total Rewards

Our focus is on cultivating a dynamic workplace characterized by high impact and performance excellence. We prioritize a people-centric culture, dedicated to hiring and developing exceptional talent.

Total rewards at Meesho comprise a comprehensive set of elements — monetary, non-monetary, tangible, and intangible. Our 9 guiding principles, or "Mantras," are the backbone of how we operate, influencing everything from recognition and evaluation to growth discussions. Daily rituals and processes like “Problem First Mindset,” “Listen or Die,” our Internal Mobility Program, Talent Reviews, and Continuous Performance Management embody these principles.

We offer competitive compensation — both cash and equity-based — tailored to job roles, individual experience, and skill, along with employee-centric benefits and a supportive work environment. Our holistic wellness program, MeeCare, includes benefits across physical, mental, financial, and social wellness. This includes extensive medical insurance for employees and their families, wellness initiatives like telehealth, wellness events, and fitness-related perks.

To support work-life balance, we offer generous leave policies, parental support, retirement benefits, and learning and development assistance. Through personalized recognition, gratitude for stretched work, and engaging activities, we promote employee delight at the workplace. Additional benefits such as salary advance support, relocation assistance, and flexible benefit plans further enrich the Meesho experience.

At Meesho, we are committed to creating an inclusive and accessible workplace where every individual can thrive. In compliance with the Rights of Persons with Disabilities Act, 2016, we uphold the following principles:

Equal Opportunity: We ensure that employment opportunities are never denied on the grounds of disability if the candidate is otherwise competent to perform the job.

Accessible Workplace: Our facilities are designed to be fully accessible, with amenities and assistive devices provided to support differently abled individuals in their work.

Inclusive Hiring Process: We adopt a transparent and non-discriminatory selection process, including providing application forms in alternate formats and offering reasonable accommodations during interviews upon request.

Career Growth: We provide adequate training post-recruitment and pre-promotion, with training materials available in accessible formats to enable equal career progression.

Support & Confidentiality: A dedicated liaison officer/committee addresses concerns and grievances, while maintaining strict confidentiality of disability-related information.

Awareness & Inclusion: We conduct awareness programs to promote a culture of inclusivity across the organization.

Meesho welcomes applicants and employees of all abilities and is dedicated to fostering an environment where differently abled persons can achieve their full potential.

Know more about Meesho here : https://www.meesho.io/

Eligibility & process

Who can apply

• Bachelor's/Master's degree in computer science (or similar degrees) • 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C • Familiarity with Neural Networks, Machine Learning etc. • Familiarity with tools like SQL, R, Python, etc. • Strong understanding of Statistics and Linear Algebra • Strong understanding of hypothesis/model testing and ability to identify common model testing errors • Experience designing and running A/B tests and drawing insights from them • Proficiency in machine learning algorithms • Excellent analytical skills to fetch dat

Skills & stack

Python SQL Next.js Machine Learning Apache Spark PyTorch TensorFlow LLMs

Selection process

  1. As described in the employer's job posting.

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (Python, SQL, Next.js, Machine Learning, Apache Spark, PyTorch, TensorFlow, LLMs) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion Meesho Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join Meesho as a Data Scientist III?
Highlight Meesho's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Meesho Not disclosed
Recruiter Resume Apply
Chat Chat with Kashii