Senior Specialist, Data Science

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 11 hours ago

Vacancies: 1 Vacancy

Job Summary

We are Brainlabs the High-Performance media agency on a mission to become the worlds biggest and best independent media agency. We plan and buy media that delivers profitable and sustained business impact. And whats our formula Superteams of Brainlabbers fueled by data and enabled by technology.

Brainlabs has always been a culture-first fact from the very beginnings of the agency a set of shared principles philosophies and values was documented in The Brainlabs Handbook helping us create our unique culture.

As with everything here we always seek to adapt and improve so The Brainlabs Handbook has been fine-tuned to become The Brainlabs Culture Code.

This Culture Code consists of 12 codes that talk to what it means to be a Brainlabber. Its a joint commitment to continuous development and creating a company that we can all be proud of where Brainlabbers can turn up to do great work make great friends and win together.

You can read The Brainlabs Culture Code in full here.

So tell me about the company

Brainlabs is culture-first. Youve probably heard other companies describe themselves as people clients or profit first but we see people clients and profit as the building blocks of our ecosystem. Culture powers all three and we know that when the ecosystem is balanced we all win! Thats why the culture we cultivate is a culture of winning together.

To learn more about what its like to be a Brainlabber check out our culture code.

What you do

Project Execution & Delivery: Work on end-to-end data science tasks from data prep to model creation. Track progress manage day-to-day work and support the team in meeting delivery timelines.
Machine Learning & Advanced Analytics: Develop ML models (regression classification clustering NLP deep learning LLMs) for marketing pricing and customer insights.
MLOps & Engineering: Architect and maintain scalable ML infrastructure CI/CD pipelines and automated model retraining workflows. Ensure data quality integrity and efficiency by optimizing data storage processing and retrieval.
Marketing & Attribution Modeling: Design and implement Bayesian Marketing Mix Models (MMM) and multi-touch attribution solutions.
Causal Inference & Experimental Design: Conduct A/B testing uplift modeling and statistical analysis to guide business decisions.
Demand Forecasting & Price Optimization: Support forecasting work involving seasonality external factors and simple price checks.
Cloud & Data Engineering Support: Leverage GCP AWS or Azure to deploy scalable machine learning pipelines. Design scalable efficient and secure data models structures and governance frameworks to support business needs.
Business Communication: Translate complex insights into actionable recommendations develop ROI frameworks and present to executives. Communicate complex technical concepts clearly to both technical and non-technical stakeholders ensuring alignment across teams.
Team Collaboration & Mentorship: Assist junior Specialists with basic guidance and share working tips. Work with the DS team to support shared tasks.
Process Adherence: Follow standard methods naming rules and data handling steps. Support documentation and project tracking.
Continuous Learning: Learn new ML cloud and MLOps tools as needed for project growth.

Who you are

Python Programming (46 years): Strong coding skill with pandas NumPy scikit-learn TensorFlow/PyTorch basics
Machine Learning & LLMs (35 years): Experience with core ML simple deep learning and basic LLM usage in projects
SQL & Data Warehousing (34 years): Work with BigQuery Snowflake or Redshift for data extraction and joins
MLOps & CI/CD (23 years): Exposure to Docker Kubernetes basics MLflow Airflow and simple pipeline runs
Marketing & Attribution Modeling (23 years): Good base in MMM inputs causal checks and attribution support
Market Mix Modelling - MMM (3-5 years): Work on Meridian Robyn PyMC algorithms
Team Management: Manage and guide 1 to 2 team members
Marketing Analytics Domain: Work on marketing analytics based use cases such as Spend Optimization Lead Scoring MTA Market Basket Analysis CLTV Analysis Incrementality Lift Testing etc.
Cloud Platforms (23 years): Experience running workloads on GCP AWS or Azure

Qualification

Bachelors or Masters degree in a quantitative field (Statistics Mathematics Computer Science or related field).

Good to have skills

Good understanding of advertising KPIs
Experience with ranking or basic recommendation work

What happens next

We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.

Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities.

Thank you for your interest in Brainlabs! We look forward to getting to know you!

What happens next

Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age disability sex gender reassignment sexual orientation pregnancy and maternity race religion or belief and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process please let us know!

Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area.

Required Experience:

Senior IC

As with everything here we always seek to adapt and improve so The Brainlabs Handbook has been fine-tuned to become The Brainlabs Culture Code.

You can read The Brainlabs Culture Code in full here.

So tell me about the company

To learn more about what its like to be a Brainlabber check out our culture code.

What you do

Project Execution & Delivery: Work on end-to-end data science tasks from data prep to model creation. Track progress manage day-to-day work and support the team in meeting delivery timelines.
Machine Learning & Advanced Analytics: Develop ML models (regression classification clustering NLP deep learning LLMs) for marketing pricing and customer insights.
MLOps & Engineering: Architect and maintain scalable ML infrastructure CI/CD pipelines and automated model retraining workflows. Ensure data quality integrity and efficiency by optimizing data storage processing and retrieval.
Marketing & Attribution Modeling: Design and implement Bayesian Marketing Mix Models (MMM) and multi-touch attribution solutions.
Causal Inference & Experimental Design: Conduct A/B testing uplift modeling and statistical analysis to guide business decisions.
Demand Forecasting & Price Optimization: Support forecasting work involving seasonality external factors and simple price checks.
Cloud & Data Engineering Support: Leverage GCP AWS or Azure to deploy scalable machine learning pipelines. Design scalable efficient and secure data models structures and governance frameworks to support business needs.
Business Communication: Translate complex insights into actionable recommendations develop ROI frameworks and present to executives. Communicate complex technical concepts clearly to both technical and non-technical stakeholders ensuring alignment across teams.
Team Collaboration & Mentorship: Assist junior Specialists with basic guidance and share working tips. Work with the DS team to support shared tasks.
Process Adherence: Follow standard methods naming rules and data handling steps. Support documentation and project tracking.
Continuous Learning: Learn new ML cloud and MLOps tools as needed for project growth.

Who you are

Python Programming (46 years): Strong coding skill with pandas NumPy scikit-learn TensorFlow/PyTorch basics
Machine Learning & LLMs (35 years): Experience with core ML simple deep learning and basic LLM usage in projects
SQL & Data Warehousing (34 years): Work with BigQuery Snowflake or Redshift for data extraction and joins
MLOps & CI/CD (23 years): Exposure to Docker Kubernetes basics MLflow Airflow and simple pipeline runs
Marketing & Attribution Modeling (23 years): Good base in MMM inputs causal checks and attribution support
Market Mix Modelling - MMM (3-5 years): Work on Meridian Robyn PyMC algorithms
Team Management: Manage and guide 1 to 2 team members
Marketing Analytics Domain: Work on marketing analytics based use cases such as Spend Optimization Lead Scoring MTA Market Basket Analysis CLTV Analysis Incrementality Lift Testing etc.
Cloud Platforms (23 years): Experience running workloads on GCP AWS or Azure

Qualification

Bachelors or Masters degree in a quantitative field (Statistics Mathematics Computer Science or related field).

Good to have skills