Job Location: Noida
Responsibilities / Technical expertise on following:
Skill -3 yrs exp in Data Science/ ML
– Exp in SAS
- Formulating, suggesting, and managing data-driven projects which are geared at furthering the business’s interests.
- Propose, Drive & Lead in Architecture & Design Review Boards, Design and develop modules, platform components in concert with Architects and Tech Leads in the team.
- Full stack Engineering ownership from requirement to Release Integration.
- Collating data from various entities/systems via data pipelines for business use/project.
- Provide business insights from the Raw data to formulate business strategies.
- Ensure Data quality and integrity via techniques like Data Extraction, Data Cleaning, Data Preparation, Modification, Data Pre-Processing, Visualization, EDA.
- Design and Build analytic systems (predictive and prescriptive) using various ML/DL algorithms.
- Cross-validate/Evaluate AI models to ensure their generalizability.
- Guide and mentor Engineers, Developers, Business Analysts & Quality Engineers
- Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.
- Evaluates new business tools, techniques and processes for incorporation into company and department best practices
Technology Stack required for this Role:
- Data Science and Analytics along with Statistical concepts required to solve and validate Analytics Solution.
- Supervised and Unsupervised Machine Learning Algorithms Development and implementation Experience: Linear Regression, Neural Network, Random Forest, Ensemble Techniques, Decision Tree, Clustering & Recommendation algorithms, Bagging , Boosting, Forecasting Models and Techniques.
- Programming Languages understanding of R, python, SQL and how to development analytics Solution using Python / R and its deployment.
- Big Data, Hadoop and Cloud Projects development and deployment is a plus.
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