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 learningu2013enabled features. ________________________________________ QUALIFICATIONS: u2022 7+ years of experience building and delivering production-grade software, data, or AI solutions u2022 2u20133 years of hands-on experience in AI/ML systems, including agentic workflows, LLM integrations, or intelligent automation u2022 Hands-on experience with AWS cloud services and cloud-native architectures u2022 BS in Engineering, Computer Science, Data Science, or related field required; advanced degree preferred ________________________________________ TECHNICAL SKILLS: u2022 Strong knowledge of software development methodologies (Agile, Waterfall) and modern engineering best practices u2022 Strong programming skills in languages such as Python, Java/J2EE, JavaScript, SQL, and modern frameworks u2022 Experience designing and building scalable systems, including APIs, microservices, and distributed architectures u2022 Proficiency in CI/CD pipeline design, implementation, and maintenance, including automated testing, deployment, and release management u2022 Experience with Git-based workflows and GitHub-based automation, including GitHub Actions and GitHub agent capabilities u2022 Experience with AWS cloud services (e.g., EC2, S3, Lambda, RDS, EKS/ECS) and building cloud-native applications u2022 Understanding of cloud architecture patterns, including scalability, resiliency, and cost optimization u2022 Platform engineering experience, including building and maintaining reusable infrastructure, developer platforms, and self-service tooling (e.g., Infrastructure as Code using Terraform/CloudFormation) u2022 Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) u2022 Proficiency in designing and implementing AI-powered systems, including LLM-based applications, agent frameworks, and workflow orchestration u2022 Experience developing, evaluating, and deploying machine learning models (supervised, unsupervised, or deep learning) u2022 Strong understanding of statistical analysis, experimentation, and model evaluation techniques u2022 Experience with data processing and analysis tools (e.g., Pandas, Spark, or equivalent) u2022 Advanced proficiency in data modeling, data manipulation, and optimization techniques u2022 Strong knowledge of normalized and dimensional data modeling principles u2022 Solid understanding of multiple data storage systems (relational, NoSQL, and data lake architectures) u2022 Familiarity with MLOps practices, including model lifecycle management, monitoring, and observability u2022 Knowledge of test-driven development and modern testing strategies across both data and application layers u2022 Strong understanding of prompt engineering, evaluation strategies, and reliability considerations for AI systems u2022 Strong research and problem-solving skills, including evaluating and applying emerging technologies u2022 Ability to design, document, and implement complex system and data components u2022 Strong communication skills, with the ability to work effectively across technical and non-technical audiences ________________________________________ ACCOUNTABILITIES: u2022 Design, develop, and deliver scalable solutions that integrate data, machine learning, and application logic u2022 Build and enhance AI-driven capabilities, including agentic workflows, LLM-based applications, and intelligent automation systems u2022 Develop and deploy solutions on AWS, ensuring scalability, reliability, and cost efficiency u2022 Contribute to platform engineering efforts, including improving developer experience, deployment pipelines, and infrastructure reuse u2022 Translate business problems into end-to-end solutions, including data exploration, feature engineering, modeling, and system integration u2022 Contribute to system and solution architecture to ensure scalability, reliability, and maintainability u2022 Partner with product, engineering, and business stakeholders to define and deliver impactful solutions u2022 Lead or contribute to moderately complex, cross-functional initiatives u2022 Write and review detailed technical specifications for system and data components u2022 Ensure adherence to best practices across coding, testing, data quality, and deployment u2022 Resolve complex technical and data-related issues across systems and models u2022 Mentor junior and mid-level team members across development, data, and AI practices u2022 Collaborate with internal and external technology resources to deliver solutions u2022 Stay current with emerging technologies in AI, cloud, and software systems, and recommend adoption where appropriate u2022 Support continuous improvement of development processes, data pipelines, and platform capabilities u2022 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: u2022 Medical, dental & vision u2022 Critical Illness, Accident, and Hospital u2022 401(k) Retirement Plan u2013 Pre-tax and Roth post-tax contributions available u2022 Life Insurance (Voluntary Life & AD&D for the employee and dependents) u2022 Short and long-term disability u2022 Health Spending Account (HSA) u2022 Transportation benefits u2022 Employee Assistance Program u2022 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. h4>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 Weu2019re 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. Weu2019re 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. Weu2019re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Weu2019re 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 . 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.

Created: 2026-04-20