Sr. Data Scientist
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Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Role Overview
This role is for a hands-on Data Science contributor who is actively involved in end-to-end modelling coding analysis and insight generation. The focus is on marketing analytics econometrics and attribution modelling with strong fundamentals in statistical modelling and MMM. The role also supports the use of AI/ML and genetic/agentic AI to enhance productivity automation and insight accuracy.
Key Responsibilities
- Develop and execute marketing analytics models including MMM attribution and regression models.
- Perform statistical modelling and advanced analysis for marketing effectiveness.
- Lead hypothesis-driven experimentation and lift analysis (A/B tests brand studies holdout samples).
- Build dashboards and automated reporting utilities to operationalize insights.
- Leverage AI/ML and selective genetic/agentic AI methods for automation summarization and insight generation.
- Collaborate with cross-functional teams including analytics engineering and media strategy.
- Embed genetic/agentic AI (LLMs AutoML) into analytics workflowsrapid prototyping feature generation insight summarization.
- Conduct cardinal insights presentations and reporting helping business teams interpret model outputs and translate results into optimize campaign strategy.
Required Skills
- 36 years in applied data science media analytics or marketing analytics in agency or consulting environments.
- Expertise in Python (pandas scikit-learn PyTorch/TensorFlow) SQL and ML frameworks.
- Experience building dashboards (Power BI Looker Studio Data Studio).
- Hands-on experience and knowledge on media measurement techniques like Media Mix Modelling Multi-Touch Attribution Competitive
- Proficiency with generative AI tools (HuggingFace OpenAI LangChain) to accelerate data processing and modelling.
- Maintain model accuracy through continuous monitoring retraining and performance tracking.
Good to Have
- Perform competition analysis by ingesting and modelling external media audience and pricing data.
- Knowledge of cloud platforms (GCP AWS Azure) containerization (Docker/Kubernetes) and CI/CD pipelines.
- Strong practical experience building ML models including lift testing MLM/regression time-series forecasting and customer segmentation.
- Collaborate with product and engineering teams to productionize ML models and tool ensuring cloud-based deployment with CI/CD monitoring containerization.
- Familiarity with marketing/advertising data domains including campaign impression attribution and media spend data.
- Define data taxonomies and metadata standards to support model governance and reproducibility.
- Experience with advanced causal frameworks (Shapley uplift models robo-hoc methods).
- Experience with model orchestration tools (Airflow Prefect) and monitoring frameworks (MLflow Seldon).
- Knowledge of data governance taxonomy design and model interpretability frameworks.
Personal Attributes
- Strong analytical curiosity precision and attention to detail.
- Ability to translate complex results into clear business insights.
- Collaborative and comfortable working across cross-functional teams including analytics engineering product and strategy.
- Proactive adaptive and thrives in fast-moving agency environments.
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Best IT Services and Digital Marketing Outsourcing Company- Wildnet Technologies is an award-winning IT Services and Digital Marketing Outsourcing Company delivering transformational growth to its clients.
