Data Science Architect Position Available In Hillsborough, Florida

Tallo's Job Summary: Data Science Architect role in Tampa, FL/Dallas, TX involves building AI ecosystems, shaping data science vision, collaborating with teams to identify AI/ML use cases, analyzing datasets for insights, deploying scalable solutions, developing narratives, leveraging LLMs, automating tasks, and staying updated on AI/ML advancements. Qualifications include a Bachelor's degree, 10+ years of AI/ML experience, proficiency in Python and SQL, and strong communication skills.

Company:
Gtss
Salary:
JobFull-timeOnsite

Job Description

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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Dice Id:

10110952

Position Id:

8636572

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