Job Description  

Overview: We are seeking a highly skilled and experienced Data Scientist to join our dynamic team. The ideal candidate will have a strong background in Data Science with expertise in Data Mining, Machine Learning, and Python programming. You will be responsible for leveraging advanced analytics methodologies to develop robust solutions, primarily focusing on Regression Analysis and related problem statements. 

Roles and Responsibilities 

Main Skills: Data Mining, Linear programming, Machine Learning Engineering, Neural networks, Python, Regression Analysis, Azure. 

Essential Experiences:

• Strong track record in successfully delivering Data Science solutions; min. 2+ years relevant experience 

• Experienced in building Regression related problem statements with various advanced analytics methodologies such as Linear Regression, decision tree regressor, ANN or RNN, Machine Learning and Deep Learning. Further applications (clustering, classification, segmentation etc.) of Data Sciences 

• Experience in working with Sage Maker 

• Experience is model development and in performing model validation to support the integrity and improve the accuracy of the model 

• Responsible for cleansing, filtering, and refactoring complex data from different sources, further analyzing, and investigating it to identify how they can be used to generate a model with high accuracy. 

• Strong experience with Python 

• Strong experience in using different Machine learning algorithms 

• Strong skills in statistical analyses, with abilities in advanced data management and statistical programming using Python 

• Experience in visualizing insights from exploratory analysis for non-technical audience. 

Qualifications: 

• Bachelor’s degree in computer science, Statistics, Mathematics, or related field. 

• Minimum of 5 years of proven experience in delivering Data Science solutions in a professional environment. 

• Strong proficiency in Python for data analysis and modeling. 

• Expertise in applying Machine Learning algorithms such as SVM, Random Forest, Gradient Boosting, etc. 

• Hands-on experience with deep learning frameworks (TensorFlow, PyTorch) and Neural Networks. 

• Solid understanding of statistical methods and their application in Data Science. 

• Experience with Sage Maker or similar tools for model development and deployment. 

• Excellent communication skills with the ability to present complex technical information clearly and concisely. 

Preferred Skills: 

• Experience in working with large-scale datasets and distributed computing (Hadoop, Spark). 

• Familiarity with cloud platforms (AWS, Azure, GCP) and their Machine Learning services. 

• Publications or contributions to the Data Science community (blogs, research papers, open-source projects). 

Role Type: Full Time  

Location: Kolkata (Hybrid)