Data Scientist - Analyst

Annalect, Omnicom Media Group India Private Limited.; Bengaluru; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Omnicom Global Solutions in Bengaluru is seeking a Data Scientist to design, train, and evaluate ML models using Python, TensorFlow, and PyTorch, applying advanced SQL and BigQuery ML to large datasets.

The role involves building production ML pipelines on GCP (Vertex AI, Cloud Functions), implementing Kubeflow-based MLOps, and collaborating with data engineers and software teams to deploy scalable solutions.

Qualifications

• Experience as a Data Scientist or ML Engineer with 3–5 years in the field.
• Strong programming skills in Python and data manipulation libraries (Pandas, NumPy, Scikit-learn).
• Deep knowledge of SQL, BigQuery/BigQuery ML, and cloud data architectures on GCP.
• Hands-on experience with TensorFlow and/or PyTorch.
• Familiarity with MLOps tools and end-to-end ML pipelines.

Responsibilities

• Model Development: design, train, and evaluate ML models using Python, TensorFlow, and PyTorch.
• Data Engineering & Querying: work with Advanced SQL and BigQuery to analyze large datasets.
• GCP Architecture: build production ML pipelines using Vertex AI, Cloud Functions, and BigQuery.
• MLOps & Automation: orchestrate ML workflows with Kubeflow for CI/CD/CT.
• Serverless Workflows: deploy serverless code to trigger ML pipelines and handle data events.
• Cross-functional Collaboration: partner with data engineers, software teams, and stakeholders to deploy ML solutions.

Skills

Python

Advanced SQL

GCP

Vertex AI

BigQuery ML

TensorFlow

PyTorch

MLOps

Kubeflow

Cloud Functions

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.