Sr. Data Scientist 2

Top Skills' Details
1. Python
2.AWS
3. AI
-must be able to develop and deploy code and have been involved with Agentic AI projects.
Description
Job Title: Senior Data Scientist II (AI, Data & Software Systems)
BASIC FUNCTIONS:
This position performs advanced research, design, and development of data-driven and AI-powered solutions across multiple systems and product areas. The role is responsible for building scalable, production-grade systems that combine data, machine learning, and robust software engineering practices.
The position contributes to technical direction and leads moderately complex, cross-functional initiatives. It collaborates with stakeholders, customers, and engineering teams to translate business problems into end-to-end solutions spanning data exploration, modeling, and system implementation. A key focus is the development of AI-driven capabilities, including agentic workflows, intelligent automation, and machine learning-enabled features.

QUALIFICATIONS:
7+ years of experience building and delivering production-grade software, data, or AI solutions
2-3 years of hands-on experience in AI/ML systems, including agentic workflows, LLM integrations, or intelligent automation
Hands-on experience with AWS cloud services and cloud-native architectures
BS in Engineering, Computer Science, Data Science, or related field required; advanced degree preferred

TECHNICAL SKILLS:
Strong knowledge of software development methodologies (Agile, Waterfall) and modern engineering best practices
Strong programming skills in languages such as Python, Java/J2EE, JavaScript, SQL, and modern frameworks
Experience designing and building scalable systems, including APIs, microservices, and distributed architectures
Proficiency in CI/CD pipeline design, implementation, and maintenance, including automated testing, deployment, and release management
Experience with Git-based workflows and GitHub-based automation, including GitHub Actions and GitHub agent capabilities
Experience with AWS cloud services (e.g., EC2, S3, Lambda, RDS, EKS/ECS) and building cloud-native applications
Understanding of cloud architecture patterns, including scalability, resiliency, and cost optimization
Platform engineering experience, including building and maintaining reusable infrastructure, developer platforms, and self-service tooling (e.g., Infrastructure as Code using Terraform/CloudFormation)
Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Proficiency in designing and implementing AI-powered systems, including LLM-based applications, agent frameworks, and workflow orchestration
Experience developing, evaluating, and deploying machine learning models (supervised, unsupervised, or deep learning)
Strong understanding of statistical analysis, experimentation, and model evaluation techniques
Experience with data processing and analysis tools (e.g., Pandas, Spark, or equivalent)
Advanced proficiency in data modeling, data manipulation, and optimization techniques
Strong knowledge of normalized and dimensional data modeling principles
Solid understanding of multiple data storage systems (relational, NoSQL, and data lake architectures)
Familiarity with MLOps practices, including model lifecycle management, monitoring, and observability
Knowledge of test-driven development and modern testing strategies across both data and application layers
Strong understanding of prompt engineering, evaluation strategies, and reliability considerations for AI systems
Strong research and problem-solving skills, including evaluating and applying emerging technologies
Ability to design, document, and implement complex system and data components
Strong communication skills, with the ability to work effectively across technical and non-technical audiences

ACCOUNTABILITIES:
Design, develop, and deliver scalable solutions that integrate data, machine learning, and application logic
Build and enhance AI-driven capabilities, including agentic workflows, LLM-based applications, and intelligent automation systems
Develop and deploy solutions on AWS, ensuring scalability, reliability, and cost efficiency
Contribute to platform engineering efforts, including improving developer experience, deployment pipelines, and infrastructure reuse
Translate business problems into end-to-end solutions, including data exploration, feature engineering, modeling, and system integration
Contribute to system and solution architecture to ensure scalability, reliability, and maintainability
Partner with product, engineering, and business stakeholders to define and deliver impactful solutions
Lead or contribute to moderately complex, cross-functional initiatives
Write and review detailed technical specifications for system and data components
Ensure adherence to best practices across coding, testing, data quality, and deployment
Resolve complex technical and data-related issues across systems and models
Mentor junior and mid-level team members across development, data, and AI practices
Collaborate with internal and external technology resources to deliver solutions
Stay current with emerging technologies in AI, cloud, and software systems, and recommend adoption where appropriate
Support continuous improvement of development processes, data pipelines, and platform capabilities
Serve as a key technical contributor and escalation point within the team
Skills
Python, Cloud, AWS, Java
Top Skills Details
Python,Cloud,AWS,Java
Experience Level
Expert Level
Job Type & Location
This is a Contract to Hire position based out of Raleigh, NC.
Pay and Benefits
The pay range for this position is $55.00 - $75.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a hybrid position in Raleigh,NC.
Application Deadline
This position is anticipated to close on May 1, 2026.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.