Summary of Job Purpose:

We are looking for Data Scientist/Sr Data Scientist for the Analytics team with experience of analytics/data science projects making significant contribution to design of analytical approach, Machine Learning/Deep Learning application skills, AI/ML modeling skills etc. The candidate is expected to possess good analytical, decision making and problem-solving skills.

Duties and Responsibilities:

• Ability to work with large data sets and present conclusions to key stakeholders; Data management using R/Python/Spark

• Working through the phases of project

• Define data requirements for creating a model and understand the business problem

• Optimize processing speed, automate iterative tasks as much possible, write codesin modular form with high reusability

• Clean, aggregate, analyze, interpret data, and carry out quality analysis of it.

• Set up data warehouse for predictive/prescriptive analysis

• Development of AI/ML models or statistical/econometric models.

• Promote a culture of creative thinking to solve some of the age-old complex business problems.

• Leverage traditional statistical and mathematical modelling with new age AI/ML techniques.

• Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects

Educational Background/Qualifications:

• BTech in Computer Science, MCA or Master degree in Statistics/Econometrics/Mathematics or related subjects

• MPhil/PhD in Statistics/Econometrics or related fields

Requirements:

• 5+ years of work experience in consulting/analytics with reputed organization is desirable.

• Experience in analytics space with hands on experience in machine learning, data mining, data science, text analytic, predictive modeling, NLP, and statistical data analysis and programming languages like R/ Python/ Spark is a mandate.

• Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, XGBoost, Neural Network etc.

• Proficient in NLP frameworks such as NLTK, Spacy, and architectures

• Committed to delivering high-quality solutions and solving real-world problems in diverse domains using innovative techniques.

Soft Skills:

• Strong problem-solving skills

• Good team player

• Attention to details

• Good communication skills

Technical Skills:

• Statistical Analysis

• Artificial Intelligence/Machine Learning/Deep Learning

• Predictive Modeling

• Prescriptive Modeling

• Natural Language Processing

• • Computer Vision