The Role
Leads data science and machine learning initiatives involving pricing analytics, forecasting, segmentation, A/B testing, and test-and-learn frameworks. Develops and applies statistical and machine learning models to large datasets, translates analytical findings into business recommendations, and manages stakeholder communication. The role requires hands-on Python and ML expertise, strong methodological and research skills, problem-solving ability, and the capacity to balance technical delivery with business impact.
Summary Generated by Built In
Job Description:
Role requirement :
- The role requires a Data Science and Machine Learning professional with 7+ years of experience in Python, ML/AI, statistics, and advanced analytics.
- The candidate should have expertise in developing commonly used ML models, analyzing large datasets.
- Key skills include Pricing Analytics, Forecasting, Segmentation, A/B Testing, and Test & Learn frameworks, along with hands-on experience in ML techniques such as Linear Regression, Decision Trees, Random Forest, Gradient Boosting, and K-Means Clustering.
- Strong proficiency in Python, SQL, Excel, and visualization tools is essential, with experience in libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Seaborn, and Plotly. Exposure to Tableau, Power BI, Generative AI, and Prompt Engineering would be an added advantage.
- Beyond technical expertise, the role requires strong communication, stakeholder management, problem-solving abilities, and a proactive mindset.
The ideal candidate should be able to translate analytics into business recommendations, engage in strategic discussions and solutioning, and effectively balance technical delivery with business impact.
Other considerations
- Strong hands-on Data Science / ML / Python skills are non-negotiable.
- Strong methodological thinking and communication skills are critical. The work is complex from a methodology perspective, so the individual needs to be able to understand complex problems and communicate the approach and outcomes in a simple, effective way to stakeholders.
- A strong research mindset is required. While there are established testing methodologies we use today, the expectation is to continuously research, experiment, and identify new and better approaches.
- Strong problem-solving and stakeholder management skills are essential. The person should be able to quickly break down ambiguous problems, identify solutions, and effectively manage stakeholder expectations and communication.
Location:
DGS India - Bengaluru - Manyata N1 BlockBrand:
MerkleTime Type:
Full timeContract Type:
PermanentSkills Required
- 7+ years of experience in data science, machine learning, Python, statistics, and advanced analytics
- Expertise developing commonly used machine learning models and analyzing large datasets
- Experience with pricing analytics, forecasting, segmentation, A/B testing, and test-and-learn frameworks
- Hands-on experience with linear regression, decision trees, random forest, gradient boosting, and K-means clustering
- Strong proficiency in Python, SQL, Excel, and data visualization tools
- Experience with NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Seaborn, and Plotly
- Strong communication, stakeholder management, and problem-solving skills
- Ability to translate analytics into business recommendations and participate in strategic solutioning
- Strong methodological thinking, research mindset, and ability to communicate complex approaches clearly
- Exposure to Tableau, Power BI, Generative AI, and prompt engineering
dentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
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Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
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Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
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Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
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The Company
What We Do
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next
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