Data Science Architect

Data Science Architect

Contracting

Tampa, FL/Dallas, TX

Responsibilities

• Build and nurture integrated Agentic AI ecosystem across Telecom network products.
• Shape and share the technical data science vision for optimal solutions.
• Collaborate closely with business and product teams to identify impactful use cases for AI/ML applications.
• Prototype and iterate on solutions, embracing a curious and experimental approach to problem-solving.
• Analyze large datasets, drawing out valuable insights to improve model performance and create better customer experience.
• Partner with ML engineers to deploy scalable AI/ML solutions that are reliable and efficient.
• Developing compelling narratives that showcase the value proposition of our solutions.
• Leverage LLMs (Large Language Models) to assist in various aspects of the business development process, including:
• Generating creative content for proposals, presentations.
• Conducting research and gathering insights on opportunities and potential partners.
• Analyzing large datasets to identify trends and inform strategic decision-making.
• Automating routine tasks to improve efficiency and productivity.
• Continuously monitor and optimize models to ensure accuracy, reliability, and long-term performance.
• Stay curious and keep learning about new AI/ML advancements, experimenting and applying them to foster innovation.
• Be hands-on coding and demonstrate ownership and leadership, focusing on collaboration and shared success.
• Communicate thoughtfully about challenges, risks, and opportunities, ensuring timely project completion.

Qualifications

• Bachelor s degree in Computer Science, Statistics, Engineering or a related field (exceptional candidates without advanced degrees will be considered).
• 10+ years of experience developing and deploying AI/ML models in production environments.
• 3+ years of experience as a technical lead, mentoring and supporting junior data scientists.
• A proven track record of delivering high-impact AI/ML projects across organizations.
• Mastery of machine learning algorithms, deep learning frameworks, time-series modeling, and statistical techniques.
• Working experience in Python and SQL, Hands on coding with proficiency in FAST API, pandas, TensorFlow, PyTorch, NumPy, and more.
• Working Experience in LangChain, LangGraph
• Working experience with LLMs, Gen-AI tools, Prompt Engineering
• Working experience in implementing Design Patterns
• Working Experience in developing Restful APIs, tracking optimal performance and best design practices
• Should be able to ideate value propositions
• Knowledge of UNIX commands and debugging
• Ability to translate customer needs into clear problem definitions while managing ambiguity.
• Proficiency with big data technologies (e.g., Google BigQuery) and cloud platforms (e.g., AWS, Google Cloud Platform).
• Creative problem-solving skills with a focus on collaborative solutions.
• Strong communication and collaboration skills to work effectively and leading cross-functional teams.
• Resilience and perseverance in the face of technical challenges, with the ability to iterate through solutions to achieve success.