Experience
2 - 7 yrs
Salary (CTC)
₹8L - ₹11.4L
Job Location
Jamshedpur, India
Vacancy
1
Designation
Data Scientist
Job Type
Not specified
Job Description
Key Responsibilities:
Apply Data Mining Data Analysis methods using a variety of data tools, building and implementing models using algorithms and creating running simulations to drive optimisation and improvement across business functions
Assess accuracy of new data sources and data gathering techniques
Perform Exploratory Data Analysis, detailed analysis of business problems and technical environments in designing the solution
Apply Supervised, Unsupervised, Reinforcement Learning and Deep Learning algorithms
Apply advanced Machine Learning Algorithms and Statistics:
o Regression, Simulation, Scenario Analysis
o Time Series Modelling
o Classification - Logistic Regression, Decision Trees, SVM, KNN, Naive Bayes
o Clustering, K-Means
o Ensemble Models - Random Forest, Boosting, Bagging
o Neural Networks
Lead and manage Proof of Concepts and demonstrate the outcomes quickly
Document use cases, solutions and recommendations
Work analytically in a problem-solving environment
Work in a fast-paced agile development environment
Coordinate with different functional teams to implement models and monitor outcomes
Work with stakeholders throughout the organization to identify opportunities for leveraging organisation data and apply Predictive Modelling techniques to gain insights across business functions - Operations, Products, Sales, Marketing, HR and Finance teams
Help program and project managers in the design, planning and governance of implementing Data Science solutions
Experience and Skills:
2-7 years of professional working experience in Analytics
Experience in Retail, Financial Services and Manufacturing
Experience using statistical packages of R, Python and Spark ML to work with data and draw insights from large data sets
Experience with distributed data computing tools: Hadoop, Hive, Spark, Python
Experience with SQL
Experience visualizing presenting data for stakeholders using matplot, ggplot or Excel or Tableau
Excellent written and verbal communication skills for coordinating across teams
Education qualification:
Bachelors Masters in a quantitative discipline (Statistics, Econometrics, Mathematics, Engineering and Science)
Apply Data Mining Data Analysis methods using a variety of data tools, building and implementing models using algorithms and creating running simulations to drive optimisation and improvement across business functions
Assess accuracy of new data sources and data gathering techniques
Perform Exploratory Data Analysis, detailed analysis of business problems and technical environments in designing the solution
Apply Supervised, Unsupervised, Reinforcement Learning and Deep Learning algorithms
Apply advanced Machine Learning Algorithms and Statistics:
o Regression, Simulation, Scenario Analysis
o Time Series Modelling
o Classification - Logistic Regression, Decision Trees, SVM, KNN, Naive Bayes
o Clustering, K-Means
o Ensemble Models - Random Forest, Boosting, Bagging
o Neural Networks
Lead and manage Proof of Concepts and demonstrate the outcomes quickly
Document use cases, solutions and recommendations
Work analytically in a problem-solving environment
Work in a fast-paced agile development environment
Coordinate with different functional teams to implement models and monitor outcomes
Work with stakeholders throughout the organization to identify opportunities for leveraging organisation data and apply Predictive Modelling techniques to gain insights across business functions - Operations, Products, Sales, Marketing, HR and Finance teams
Help program and project managers in the design, planning and governance of implementing Data Science solutions
Experience and Skills:
2-7 years of professional working experience in Analytics
Experience in Retail, Financial Services and Manufacturing
Experience using statistical packages of R, Python and Spark ML to work with data and draw insights from large data sets
Experience with distributed data computing tools: Hadoop, Hive, Spark, Python
Experience with SQL
Experience visualizing presenting data for stakeholders using matplot, ggplot or Excel or Tableau
Excellent written and verbal communication skills for coordinating across teams
Education qualification:
Bachelors Masters in a quantitative discipline (Statistics, Econometrics, Mathematics, Engineering and Science)
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