We are looking for Candidates who can join with in 15-45 Days for one of our MNC.
Create, analyze and maintain explanatory/ predictive models
Work includes all phases of the modelling process: research design, data extraction and cleaning, model building and validation.
To work through the entire life cycle of a project from inception to implementation.
Collaborate with product management and engineering departments to understand company needs and devise possible solutions
Experience using Machine Learning Algorithms: Linear & Logistic Regression, Time Series analysis, Support Vector Machine, K- Means clustering, K- Nearest Neighbors, Decision Trees, Random Forest, Naive Bayes, PCA, SVD, Artificial Neural Networks, Association Rules, Genetic Algorithm, Optimization, Bagging and Boosting algorithms etc
Excellent communication and decision making skills are essential.
Strong analytical, problem solving and decision- making skills
Develop and maintain working relationships with key customer stakeholders
Optimize joint development efforts through appropriate database use and project design
Communicate results and ideas to key decision makers
Values Based Competencies:
Passionate about asking and answering questions through the use of large structured and unstructured data
Integrity: Shows consistency between action and words on a consistent basis
Performance: Demonstrates urgency in pursing goals, Puts in extra effort to achieve outcomes required, has a strong commitment to quality and accuracy and getting thing done correctly the first time, as well as managing time effectively
Focus on Customers: Consistently meets or exceeds customer expectations, identifies or develops new processes to enhance customer outcomes
Required Skill Sets:
Masters in Mathematics/ Statistics disciplines
Proficiency required in one or more of analytical tools such as SAS, R, Python.
Experience in at least two of the areas
Statistical modeling (Regression, Classification, Time- series forecasting) / Machine Learning / Text Mining / Optimization / Visualization
Knowledge on Machine Learning Techniques and Big Data (Hadoop) would be added advantage
Knowledge of statistical tools and techniques, especially those relating to data mining
Demonstrated ability to work with large data sets
Master's Degree in Computer Science, Statistics, Applied Math or related field,
Any Postgraduate - Any Specialization
7+ years- practical experience with SAS, ETL, data processing, database programming and data analytics
Extensive background in data mining and statistical analysis
Able to understand various data structures and common methods in data transformation
Excellent pattern recognition and predictive modeling skills
Experience with programming languages such as Java/Python an asset.
Salary: Not Disclosed by Recruiter
Industry: IT-Software / Software Services
Functional Area: IT Software - Application Programming, Maintenance
Role Category: Programming
Role: Project Lead
Employment Type: Permanent Job, Full Time