Sr Data Scientist

Job Description Summary

Job Description

Roles and Responsibilities:

• In this role, you will: Capture system level requirements by brainstorming with Sr. Architects, Data Scientists, Businesses & Product Managers
• Identify the scope of the work, provide initial estimate and justify the estimate with facts Demonstrate the understanding of Agile software development lifecycle and able to distinguish the core inputs and outputs in each cycle.
• Engage in technical discussions; participate in technical designs and present technical ideas through white boarding
• Work closely with your peers and keep engaging in a fast pace technical design and development team.
• Execute in a fast-paced delivery mode and focus in delivering tasks to meet the product release goal
• Maintain code quality through best practices, unit testing and code quality automation
• Be an expert in writing code that meets standards and delivers the desired functionality using the technology selected for the project
• Drive design reviews, define interfaces between code modules, and applies existing technology to designs
• Be an expert in assessing application performance and optimizing/improving it through design and best coding practices
• Be an expert in core data structures as well as algorithms and has the ability to implement them using language of choice
• Provide guidance to a team of 5 to 7 developers with either planning and execution and/or design architecture using agile methodologies such as SCRUM
• Work with Product Line Leaders (PLLs) to understand product requirements & vision
• Need to code, do pocs, review, test perform security development lifecycle.

Education Qualification :

For roles outside USA:

• Bachelor’s degree in computer science or “STEM” Majors (Science, Technology, Engineering and Math) with advanced experience.
• For roles in USA: Bachelor’s degree in computer science or “STEM” Majors (Science, Technology, Engineering and Math) with minimum years of experience 5 years.

Desired Characteristics: Technical Expertise:

• Ability to Analyze, design, and develop a software solution roadmap and implementation plan based upon a current vs. future state of the business

• Working knowledge of configuration choices and related cost implications; Experience with complex solution configurations.

• Good knowledge of Software Design Patterns, Python andJava coding principles.

• Over 5 years’ experience in using OO programming. Hands-on experience in REST on top any Open-source library, SQL Database such as PostgreSQL, SQLServer, Oracle, etc.

• In depth and hands-on experience in utilising Spring Framework.

• Strong proficiency in Python, including PyTorch, TensorFlow, NumPy, Pandas, and SciPy.

• Hands-on experience with deep learning for computer vision: CNNs, Vision Transformers, segmentation, object detection, and change detection.

• Strong data science fundamentals: statistics, feature engineering, data preprocessing, model evaluation.

• Production deployment experience: Docker, Kubernetes, cloud platforms (AWS/GCP/Azure).

• Experience with end-to-end ML pipelines, MLOps practices, and scalable model serving.

• Knowledge of system design, distributed systems, and multi-tenant SaaS architectures.

• Advantage / Nice to Have- ML, Python, including PyTorch, TensorFlow, NumPy, Pandas, and SciPy. Gen AI Concepts.

Business Acumen:

Adept at navigating the organizational matrix; understanding people's roles, can foresee obstacles, identify workarounds, leverage resources and teammates.

• Understand how internal and/or external business model works and facilitate active customer engagement
• Able to articulate the value of what is most important to the business/customer to achieve outcomes Able to produce functional area information in sufficient detail for cross-functional teams to utilize, using presentation and storytelling concepts.
• Possess knowledge of full solution catalog within a business unit and proficiency in discussing each area at an advanced level.

Leadership:

• Demonstrated working knowledge of internal organization
• Demonstrated ability to work with and/or lead blended teams, including 3rd party partners and customer personnel.
• Proven analytical and problem resolution skills Ability to influence and build consensus with other Information Technology (IT) teams and leadership

Personal Attributes:

• Able to work under minimal supervision
• Excellent communication skills and the ability to interface with senior leadership with confidence and clarity
• Able to work well with global teams, including time-zone flexibility
• Skilled in providing oversight and mentoring team members. Shows ability to effectively delegate work

Additional Information

Relocation Assistance Provided: Yes