Data Scientist Job in Capital Placement Services

Responsibilities
Data mining and analysis using state-of-the-art methods
Processing, cleansing, and verifying the integrity of data used for analyses
Building and optimizing data models using machine learning techniques
Skills and Qualifications
Must have:
At least 2 years of experience working on data science projects delivered to external clients.
Proficiency with programming languages: Python, PySpark, and SQL.
Proficiency with common data science tools: Scikit-learn and at least one among
TensorFlow, Keras, PyTorch, or equivalent
Experience with forecasting techniques using Time series methods and causal forecasting
methods
Experience with applying supervised and unsupervised learning techniques on unstructured
and semi-structured data
Experience with predictive modeling, deploying, and monitoring ML solutions in an iterative
or Agile/DevOps environment using lifecycle management methods and tools
Degree in Statistics/Quantitative Analyses, Computer Science, Mathematics, Operations
Research, or other related technical fields with equivalent practical experience
Excellent English verbal and written communication skills
Nice to have:
Experience with Natural Language Processing (NLP) techniques.
Familiarity with Microsoft Azure services and tools
Experience with the agile methodology for data science projects.