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09/08 Sayyad Suriya
Management Trainee at Pylon Management Consulting

Views:353 Applications:77 Rec. Actions:Recruiter Actions:70

Manager - Analytics - Analytics Firm (7-14 yrs)

Bangalore/Chennai/Delhi NCR Job Code: 961506

Job Description:

- Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline)

- Good programming skills in Python with strong working knowledge of Python's numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc.

- Experience with SQL, Excel, Tableau/ Power BI, PowerPoint

- Predictive modeling experience in Python ( Time Series/ Multivariable/ Causal)

- Experience applying various machine learning techniques and understanding the key parameters that affect their performance

- Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs

- Excellent verbal and written communication

- Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects

Location: Bengaluru / Chennai / Gurgaon

Experience: 7 to 14 Years

Skills Required:

Python's numerical, data analysis, Time Series/ Multivariable/ Causal),SQL, Excel, Tableau/ Power BI, PowerPoint

Roles:

- Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities:

- Connect with internal / external POC to understand the business requirements

- Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis

- Create project plan and sprints for milestones / deliverables

- Spin VM, create and optimize clusters for Data Science workflows

- Create data pipelines to ingest data effectively

- Assure the quality of data with proactive checks and resolve the gaps

- Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms

- Research whether similar solutions have been already developed before building ML models

- Create optimized data models to query relevant data efficiently

- Run relevant ML / DL algorithms for business goal seek

- Optimize and validate these ML / DL models to scale

- Create light applications, simulators, and scenario builders to help business consume the end outputs

- Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively

- Integrate and operationalize the models in client ecosystem

- Document project artifacts and log failures and exceptions

- Measure, articulate impact of DS projects on business metrics and finetune the workflow based on feedbacks

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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