Senior Staff Engineer, Data Science
Nagarro
full-time
Posted on:
Location Type: Remote
Location: India
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Job Level
About the role
- Writing and reviewing great quality code
- Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
- Mapping decisions with requirements and be able to translate the same to developers.
- Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
- Defining guidelines and benchmarks for NFR considerations during project implementation
- Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
- Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
- Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
- Understanding and relating technology integration scenarios and applying these learnings in projects
- Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
- Should be open to travel onsite once a month.
Requirements
- Total Experience: 10+ years
- Must have experience in Machine Learning Fundamentals, Data Analysis & Visualization, Statistics & Probability, SQL, Model Packaging & Deployment.
- Must have hands on generative AI fundamental, RAG, text to SQL.
- Should have experience in Python or R for Data Science.
- Should have experience in Classification-regression, Forecasting, Anomaly detection, Market mix model, Predictive analysis, Unsupervised Models, Recommendation Systems, Natural Language processing & Optimization.
- Should have experience in Data science on AWS/Azure/GCP.
- Must have exposure in model deployment using docker/Kubernetes.
- Strong troubleshooting skills in different disparate technologies and environments.
- Should be enthusiastic about different areas of work and exploring new technologies.
- Should have clarity of thought and strong communication skills to effectively pitch solutions.
- Must have ability to explore and grasp new technologies.
- Must be capable of mentoring team members in projects and helping them keep up with new technologies.
- Should be empowering the team members to be solution providers and enable a flat environment where everyone’s point of view is considered, and feedback is encouraged.
Benefits
- Employees can work remotely
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Machine Learning FundamentalsData AnalysisData VisualizationStatisticsSQLModel PackagingModel DeploymentPythonRNatural Language Processing
Soft skills
troubleshootingcommunicationmentoringproblem-solvingteam empowermentclarity of thoughtenthusiasm for technologyexploration of new technologiessolution-oriented mindsetcollaboration