Key Responsibilities:
- Take ownership of projects, including collecting requirements and feedback, collaborating with stakeholders, producing technical designs, and iterating on the results with users.
- Perform statistical analysis, data mining, temporal and pattern analysis, correlation of events, predictive modelling, and pattern recognition for various use cases
- Design ML systems and implement appropriate algorithms for business problems. Runs ML tests, train and re-train models
- Develop, test and implement ETL scripts for integrating data across multiple sources to a single object model.
- Provide informational briefings to explain methodologies and analytical findings to peers and customer stakeholders.
- The person should be able to manage a team
- Should have leadership skills
Skills Required :
- Strong analytical and programming capabilities, ability to deeply understand data and infer insights
- Familiarity with machine learning techniques, Natural Language Processing, Conceptual modeling, Statistical analysis, Predictive modelling, Hypothesis testing.
- Hands-on experience with Java, Python and deployment experiences, Knowledge of trade lifecycle is a plus
- SQL and database understanding
- Good planning, organizational, and decision-making skills
Qualifications:
- Bachelor's Degree in Computer Science & Engineering
- Candidate should be willing to work late in the evening India time on need basis in order to interact with US/Canada team and to meet urgent requests by Ops.
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