Data Scientist

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 candidateis 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; Datamanagement 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 modeling with new-age AI/ML techniques.
 Supporting the 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 a reputed organization is desirable.
 Experience in analytics space with hands-on experience in machine learning, data
mining, data science, text analytics, 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