Data Scientist - Specialist

Omnicom Global Solutions; Bengaluru; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

Omnicom Global Solutions (OGS) is seeking a data scientist to design, train, and deploy ML models using Python, TensorFlow, and PyTorch within a GCP-based environment.

You will work on data engineering, advanced SQL, and BigQuery / BigQuery ML to build scalable ML pipelines, collaborating with cross-functional teams in a hybrid work model based in Bengaluru.

Qualifications

• 3–5 years of relevant experience as a Data Scientist or Machine Learning Engineer.
• Advanced proficiency in Python and data manipulation libraries (Pandas, NumPy, Scikit-learn).
• Strong expertise in Advanced SQL (complex joins, window functions, query optimization) and BigQuery / BigQuery ML.
• Hands-on experience with Google Cloud Platform (GCP), Vertex AI and Cloud Functions.
• In-depth experience with TensorFlow and/or PyTorch.
• Practical experience using Kubeflow to orchestrate ML workflows and manage model lifecycles in production.
• Strong analytical and algorithmic skills with a track record of deploying robust ML models.

Responsibilities

• Design, build, train, and evaluate predictive models and ML algorithms using Python, TensorFlow, and PyTorch.
• Extract, transform, and analyze large datasets using Advanced SQL and BigQuery / BigQuery ML.
• Leverage GCP services (Vertex AI, Cloud Functions, BigQuery) to build production-grade ML pipelines.
• Build and maintain automated end-to-end ML pipelines using Kubeflow and Vertex AI for CI/CD/CT.
• Write and deploy serverless code using Cloud Functions to trigger ML pipelines and handle data processing.
• Partner with data engineers, software developers, and business stakeholders to integrate ML solutions into existing applications

Skills

Python

Advanced SQL

Pandas

NumPy

Scikit-learn

Vertex AI

BigQuery ML

TensorFlow

PyTorch

MLOps

Kubeflow

Cloud Functions

Tools

Cloud Functions

BigQuery

Vertex AI

Kubeflow

Job description

Overview

Role- Data Scientist

Skill- Data Scientist, Python, Advanced SQL, GCP, Vertex AI, BigQuery ML, Cloud Functions, MLOps, Kubeflow, TensorFlow, PyTorch

Location- Bangalore, Hyderabad

Shift Timing- 4pm-1am

Work Model- Hybrid(3 Days WFO & 2 Days WFH)

About Omnicom Global Solutions

Omnicom Global Solutions (OGS) is an integral part of Omnicom Group, a leading global marketing and corporate communications company. Omnicom’s branded networks and specialty firms deliver advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialized communication solutions to over 5,000 clients across more than 70 countries.

OGS India serves as a key global capability center for Omnicom, enabling its agencies and group companies with scaled delivery, specialized expertise, and integrated solutions. Our capabilities span Media, Data & Analytics, Technology, MarTech, Commerce, Business Support Solutions, Creative Production, Healthcare, and Strategy & Insights.

With a workforce of over 7,000 professionals in India, OGS continues to expand its capabilities and global impact, supporting the evolving needs of clients and agencies. We are committed to building future-ready talent and delivering high-quality, outcome-driven solutions.

Responsibilities

• Model Development: Design, build, train, and evaluate predictive models and machine learning algorithms using Python, TensorFlow, and PyTorch.
• Data Engineering & Querying: Extract, transform, and analyze large datasets using Advanced SQL and BigQuery / BigQuery ML.
• GCP Architecture: Leverage Google Cloud Platform services (Vertex AI, Cloud Functions, BigQuery) to build production-grade ML pipelines.
• MLOps & Automation: Build and maintain automated end-to-end ML pipelines using Kubeflow and Vertex AI for continuous integration, training, deployment, and monitoring (CI/CD/CT).
• Serverless Workflows: Write and deploy serverless code using Cloud Functions to trigger ML pipelines and handle event-driven data processing.
• Cross-Functional Collaboration: Partner with data engineers, software developers, and business stakeholders to integrate ML solutions into existing applications

Qualifications

Required Skills & Qualifications

• Experience: 3–5 years of relevant experience as a Data Scientist or Machine Learning Engineer.
• Core Programming: Advanced proficiency in Python and deep knowledge of data manipulation libraries (Pandas, NumPy, Scikit-learn).
• Database & SQL: Strong expertise in Advanced SQL (complex joins, window functions, query optimization) and experience working with BigQuery / BigQuery ML.
• Cloud Platform: Proven hands-on experience with Google Cloud Platform (GCP), specifically Vertex AI and Cloud Functions.
• ML Frameworks: In-depth experience with TensorFlow and/or PyTorch.
• MLOps & Pipeline Tools: Practical experience using Kubeflow to orchestrate machine learning workflows and manage model lifecycles in production.
• Problem-Solving: Strong analytical and algorithmic skills with a track record of deploying robust ML models into live environments.