Role : Data Scientist - Model Engineering
Job Description :
The candidate will be part of the Data Science team and will primarily be responsible for developing predictive models and implementing latest machine learning algorithms.
The candidate is required to :
- Develop predictive models using latest machine learning / statistical methods
- Keep track of latest developments in the machine learning world
- Introduce newer methodology in model development & implementation
- Communicate these methods and results to other members of the data science team and other relevant stakeholders
Key Result Areas :
- Deliver robust statistical / machine learning models that use latest methods & algorithm while generating tangible business value
- Standardize the usage of latest data processing methods for faster development and implementation of models in the larger data science team
- Ensure flawless delivery of projects on time
Competencies Required :
- Strong analytical & problem-solving skills
- Ability to learn and understand latest machine learning / statistical algorithms
- Working knowledge of Hadoop, SQL, Oracle
- High level of motivation
- Good communication, presentation & communication skills
Academic Qualifications Required :
- Post graduation in Statistics or Economics or Quantitative Economics or Computer Science OR M.B.A. (Finance / Quantitative Methods)
Nature of Relevant Work Experience Required :
- Predictive model development
- Logistic/Linear Regression, Clustering, D-tree, Feature Selection, PCA
- Artificial Neural Network (Deep Learning), SVM, Random Forest
- Python, Tensorflow, Scikit
- SAS, R
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