Data Scientist
Omnicom Global Solutions
Omnicom Global Solutions seeks a Data Scientist with 3-5 years of experience in building and deploying machine learning models on Google Cloud Platform.
Last checked on September 12, 2026. We may earn a commission when you click through.
Data Scientist
Omnicom Global Solutions
Updated 20 hours agoYou'll be redirected to in.talent.com
This position is ideal for mid-level Data Scientists looking to enhance their skills in a reputable company. However, the lack of salary information raises concerns for potential applicants regarding compensation expectations.
About this role
Omnicom Global Solutions seeks a Data Scientist with 3-5 years of experience in building and deploying machine learning models on Google Cloud Platform.
About the Company
Omnicom Global Solutions is a leading marketing and communications company specializing in data-driven advertising solutions.
Key Highlights
- ✓ Hybrid work model: 3 days in-office, 2 days remote
- ✓ Experience with Google Cloud Platform required
- ✓ Focus on scalable machine learning models
- ✓ Mid-level position (3-5 years of experience)
- ✓ Opportunity to work in a dynamic team environment
💡 Honest Take: While the role promises an the hybrid work setup might be challenging for those seeking full remote flexibility. the requirement for specific GCP experience could limit applicants.
Pros
- ✓ Flexible hybrid work arrangement
- ✓ Reputable company in the marketing sector
- ✓ Opportunity to work with advanced technologies
- ✓ Collaborative team environment
Cons
- ✗ Salary not disclosed
- ✗ Experience with GCP is mandatory
- ✗ Limited remote work days
- ✗ Potentially high expectations for model scalability
Best For: Professionals in data science with 3-5 years of experience seeking growth in a well-established company.
Watch Out: The lack of disclosed salary may deter candidates, as compensation expectations remain unclear.
You'll be redirected to in.talent.com
Expert Review
The position at Omnicom Global Solutions presents a promising opportunity for those with a background in data science. The hybrid work model offers flexibility, but the requirement for in-office presence three days a week may not suit everyone. Having expertise in Google Cloud Platform is crucial, which could limit applicants without this specific experience.
In a rapidly evolving field, working with scalable machine learning models is . However, the absence of salary details raises questions about compensation and may lead to frustration during negotiations. Candidates should approach this role with an understanding of the expectations related to model deployment and performance metrics.
Overall, this role caters to professionals ready to tackle challenges in a collaborative setting, yet it's essential for applicants to clarify salary expectations upfront, given the competitive nature of data science jobs in India. For more information, refer to the listing on Talent.com.
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