The Role
Manage data science and machine learning initiatives using Python, advanced analytics, statistical methods, and large datasets. Develop models for pricing, forecasting, segmentation, experimentation, and business optimization. Translate complex analyses into clear recommendations, lead methodological research, and communicate effectively with stakeholders. Balance hands-on technical delivery with strategic business impact while managing ambiguous problems and stakeholder expectations.
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 and machine learning
- Strong hands-on experience with Python, machine learning, artificial intelligence, statistics, and advanced analytics
- Experience developing commonly used machine learning models
- Experience analyzing large datasets
- Expertise in pricing analytics, forecasting, segmentation, A/B testing, and Test & Learn frameworks
- Hands-on experience with linear regression, decision trees, random forest, gradient boosting, and K-means clustering
- Strong proficiency in SQL and Excel
- Experience with data visualization tools
- Strong methodological thinking and research mindset
- Strong communication, stakeholder management, and problem-solving skills
- Ability to translate analytics into business recommendations and participate in strategic solutioning
- Experience with NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Seaborn, and Plotly
- Exposure to Tableau, Power BI, Generative AI, and Prompt Engineering
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The Company
What We Do
Dentsu Creative is a global creative agency network designed to unlock exponential growth for clients. We use Transformative Creativity as a differentiating, driving force to bring our capabilities together to positively impact people, business and society. Established in 2022, Dentsu Creative is integrated with dentsu’s Media and CXM businesses in over 145 countries and regions, to offer Integrated Growth Solutions.
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