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Data Scientist


Hirextra -World's First Staffing Aggregator


Location

Mumbai | India


Job description

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 businessproblem

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 otherknowledge 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


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