On-site opportunity at
MeeshoPrincipal Data Scientist
The Principal Data Scientist role sits in Meesho's AdTech team and focuses on the company's advertising platform. The work applies machine learning and statistical methods to…
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About This Role
The Principal Data Scientist role sits in Meesho's AdTech team and focuses on the company's advertising platform. The work applies machine learning and statistical methods to real-time bidding, ad ranking, budget efficiency and performance measurement, with a direct effect on the business's bottom line. The post is based in Bengaluru. The principal data scientist builds the bidding, pacing and other algorithms that improve ad spend or return. The role also…
Job Description
The Principal Data Scientist role sits in Meesho's AdTech team and focuses on the company's advertising platform. The work applies machine learning and statistical methods to real-time bidding, ad ranking, budget efficiency and performance measurement, with a direct effect on the business's bottom line. The post is based in Bengaluru.
The principal data scientist builds the bidding, pacing and other algorithms that improve ad spend or return. The role also creates frameworks and experiment designs that measure how well advertising works. Alongside product and engineering colleagues, the holder converts business needs into effective AI and machine learning systems.
Beyond delivery, the role includes sharing forward-looking plans and advice with technology and business leaders, mentoring junior data scientists, and leading research into ML methods, auction theory and ad technology.
It suits a technically strong data scientist with at least six years of AI and machine learning research experience, grounding in auction design, predictive models, causal methods and reinforcement learning, and the skill to make complex ideas understandable to specialists and non-specialists.
Responsibilities
- Build the bidding, pacing and other algorithms that improve ad spend or return on investment.
- Create frameworks and experiment designs that measure ad effectiveness and return.
- Partner with product and engineering colleagues so business requirements become working AI and ML systems.
- Share forward-looking plans and advice with technology and business leaders.
- Mentor junior data scientists and give technical guidance.
- Lead research into ML, auction theory and ad technology.
Requirements
- A B.Tech in a computing or ML discipline, plus six-plus years of AI/ML research experience.
- Background spanning auction design, predictive models, causal methods and reinforcement learning.
- Expertise in PyTorch or TensorFlow, with proficiency in Python and big data technologies.
- Experience coaching less senior data scientists and driving several problem areas in parallel.
- Able to make complex ideas clear to engineers and to non-specialists alike.
Qualifications
- An M.Tech or PhD in computer science with a machine learning specialisation.
- At least three years of applying machine learning and statistical modelling in AdTech or related areas.
- Exposure to real-time bidding, programmatic advertising or ad exchanges.
- A record of moving research into products.
- A strong publication record at leading AI conferences such as NeurIPS, ICML, ICLR, KDD, CVPR and AAAI.
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is the role based?
The role is listed as on-site in Bengaluru.
What experience is required?
The posting asks for at least six years of AI and machine learning research experience, and a B.Tech in a computing or ML-related discipline.
What does the role work on?
The role works on the AdTech platform, including real-time bidding, ad ranking, budget pacing and ad effectiveness measurement.
What is the salary?
The posting does not specify a salary.
How do I apply?
The posting does not describe an application process.
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