Data Scientist
Qualification:Bachelors in science, engineering or equivalent
Responsibility:
Requirement Understanding and Analysis:
Review the raw requirements to understand the key outcomes expected by the client.
Provide technical guidance to the team to identify the data source and review data profiling to understand the data and its quality.
Review logic that needs to be incorporated in the architecture to ensure the data meets the requirements.
Identify POC requirement to conduct the feasibility of the requirement, if required.
Data Discovery & Profiling:
Understand the relationships across different data sources and domains and provide guidance to an Analyst.
Post signoff, design complex queries to analyze the existing data and provide critical business insights.
Share sample data with the client to give snapshot of the expected outcome.
Review a low level design document capturing SQL queries to achieve the target state.
Review system integration testing during data migration from the source to the target state to ensure the requirements are met.
Provide technical guidance to the team to resolve complex issues.
Data Analytics & Reporting:
Design qualitative & quantitative research instruments (example: surveys, interviews etc) to capture the data if required.
Integrate qualitative & quantitative information to create insights.
Design development of new statistical algorithms.
Run various statistical analysis on the data collected from different sources to derive business insights and evaluate the business risks based on the statistical analysis.
Stakeholder Management:
Interact with the client on a regular basis to provide regular project status update, resolve any issues.
Coordinate with internal teams to get work done.
Present analysis to the client along with senior stakeholders in the organization.
Knowledge Management:
Create and update knowledge articles (industry Point of View, Case studies, lessons learnt document etc) in the knowledge management repository.
Maintain knowledge management database.
People Management:
Understand aspirations of the team Data Analysts.
Set goals for them and monitor performance.
Coordinate with different stakeholders in understanding how the employee can better contribute to the project, seek feedback and address concerns.
Provide technical guidance to team members through the project lifecycle.
Conduct performance appraisal for team members.
Support organization level activities such as recruitment by conducting technical facetoface interviews as required.
Coordinate with Academy to build training material, organize/ conduct trainings as required.
Innovation & Thought Leadership:
Keep up with the upcoming trends in Big Data and Analytics and constantly strive to learn and improve on the same.
Discuss with senior stakeholders in the organization to improve self knowledge.
Sales Support:
Based on the inputs shared by the stakeholders.
provide inputs on RFPs on data profiling and system analysis aspects.
Evaluate/ identify the tools best fit for customer requirement.
Must Have Skills
DevSecOps
AWS Cloud Development Kit
AWS Big Data
AWS Platform
AWS EKS
Good To Have Skills
Procure to Pay - Payroll
Technical Skills
SNo Primary Skill Proficiency Level * Rqrd./Dsrd.
1 DevSecOps PL3 Required
2 AWS Cloud Development Kit PL3 Required
3 AWS Big Data PL4 Required
4 AWS Platform PL4 Required
5 AWS EKS PL4 Required
Domain Skills
SNo Primary Skill Proficiency Level * Rqrd./Dsrd.
1 Procure to Pay - Payroll NA Desired
* Proficiency Legends
Proficiency Level Generic Reference
PL1 The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels.
PL2 The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects.
PL3 The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects.
PL4 The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill.
Schedule: Full-time
Shift: Day Job
Travel: No