Staff Engineer, Data Science
Staff Engineer, Data Science
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Salary Not Disclosed
1 Vacancy
Job Description
REQUIREMENTS:
- Total experience 7 years.
- Must have experience in Data Science Fundamentals Data Analysis & Visualization Statistics & Probability SQL Model Packaging & Deployment.
- Strong understanding of statistical concepts and techniques and experience applying them to real-world problems.
- Must have experience in prompt engineering RAG & Generative AI.
- Should have experience in Python or R for Data Science.
- Should have experience in Classification-regression Forecasting Unsupervised Models Recommendation Systems Natural Language processing & Optimization.
- Strong working experience in machine learning with a proven track record of delivering impactful
- Strong programming skills in Python and proficiency in deep learning frameworks such as TensorFlow PyTorch or JAX as well as machine learning libraries such as scikit-learn.
- Should have experience in Data science on AWS/Azure/GCP.
- 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 everyones point of view is considered and feedback is encouraged.
RESPONSIBILITIES:
- Writing and reviewing great quality code.
- Understanding functional requirements thoroughly and analyzing the clients needs in the context of the project.
- Envisioning the overall solution for defined functional and non-functional requirements and being able to define technologies patterns and frameworks to realize it.
- Determining and implementing design methodologies and tool sets.
- Enabling application development by coordinating requirements schedules and activities.
- Being able to lead/support UAT and production roll outs.
- Creating understanding and validating WBS and estimated effort for given module/task and being able to justify it.
- Addressing issues promptly responding positively to setbacks and challenges with a mindset of continuous improvement.
- Giving constructive feedback to the team members and setting clear expectations.
- Helping the team in troubleshooting and resolving of complex bugs.
- Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements
Qualifications :
Bachelors or masters degree in computer science Information Technology or a related field.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Department / Functional Area
Engineering
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
