Senior Data Scientist - Machine Learning (6-8 yrs)

Role : Senior Data Scientist.

Location : Bangalore (Hybrid).

Experience : 6-8 years.

Notice Period : Immediate OR 15 Days.

We are seeking an experienced Senior Data Scientist with strong expertise in statistical modeling, machine learning, and data engineering using Python, Numpy, Pandas, SciLearn, and Databricks PySpark. The ideal candidate will have a solid background in regression analysis, anomaly detection,.

Key Responsibilities :

- Develop and implement statistical models, including regression, anomaly detection, clustering, and categorization.

- Utilize Python, Numpy, Pandas, and SciLearn to perform data analysis and modeling.

- Work extensively with Databricks and PySpark to process large data sets and build scalable data pipelines.

- Apply machine learning techniques to derive insights from data and solve complex business problems.

- Collaborate with cross-functional teams and stakeholders to define project requirements and deliver data-driven solutions.

- Work on Natural Language Processing (NLP) to build models for text processing, classification, and sentiment analysis.

- Ensure high-quality code through testing, documentation, and best practices in data engineering.

- Engage with clients to understand their needs and provide technical guidance on data solutions.

Requirements :

- Strong proficiency in statistical modeling, including regressions, anomaly detection, clustering, and categorization.

- Expert-level skills in Python, Numpy, Pandas, SciLearn, and Databricks PySpark.

- Experience with Natural Language Processing (NLP) techniques and tools.

- Strong client-facing experience with excellent communication skills.

- Experience in MLOps and cloud-based ML platforms like Azure ML or Cognitive Services (good to have).

- Ability to work with large datasets and build scalable solutions.

- Problem-solving and critical thinking abilities with a focus on delivering high-quality results.