
Analytics Expert
10 hours ago
The role of a data analyst involves working with complex data sets to derive valuable insights and drive business decisions.
Key Responsibilities:
- We are looking for an experienced data scientist who can collate, process, clean, and transform data along with feature engineering and model development.
- The ideal candidate will be responsible for training, evaluating, and fine-tuning machine learning models.
- In addition, they will ensure thorough quality check of output and provide analytics-driven insights and next steps in involved projects.
- The successful candidate will also develop and implement customer segmentation, LTV, and marketing campaign optimization models.
- They will own and manage client deliverables.
- The chosen individual will engage with clients and translate their business requirements into equivalent analytical problems.
- They will understand data and different platforms used by clients.
- Furthermore, they will contribute towards design methodology for problem-solving.
Requirements:
- A minimum of 3 years of experience in a data science/data analytics role with end-to-end understanding of ML-based project development and implementation.
- The ideal candidate will be proficient in building and deploying machine learning (predictive and prescriptive modeling), NLP.
- Experience in demand forecasting is highly desirable.
- Proficiency in tools/languages like SQL, Python, PySpark is necessary.
- A good understanding of probability and statistics is required.
- Hands-on experience in Azure is preferred.
- Good communication skills are essential.
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