What are the responsibilities and job description for the Sr. Data Scientist position at Technology Hub Inc?
Technology Hub Inc. specializes in providing the right talent and technology solutions for businesses to succeed in the fast-changing global marketplace. Services offered include Cloud Services/AWS, IT Talent Management, Mobile App Development, and DevOps and Automation.
Role Description
This is a contract Hybrid role for a Senior Data Scientist at Technology Hub Inc. The Senior Data Scientist will be responsible for data science, statistics, data analytics, data visualization, and data analysis tasks on a day-to-day basis.
Qualifications:
Bachelor's or Master’s degree in Computer Science, IT Engineering, or a related field.
9 years of overall experience, with a minimum of 2 years of experience in delivering AI-driven products and at least 2 years focused on Product Management.
At least 1 year of hands-on experience working with GPT/LLM models, including tasks like data pre-processing, feature selection, and hyperparameter tuning.
Experience in developing Agentic AI solutions. Expertise in training and developing GPT/LLM models for various applications such as chatbots, Q&A systems, and recommendation engines.
Proficient in Graph RAG and Agentic AI techniques.
Collaborate with cross-functional teams to define product requirements and develop use cases for GPT/LLM models.
Strong background in data engineering with hands-on experience using Hadoop, Apache Spark, and an understanding of ETL processes.
Extensive experience with Python and PySpark programming.
Expertise in data analysis, pre-processing, feature engineering, and model selection to build accurate and efficient models.
Ongoing monitoring and optimization of model performance, with continuous improvements based on feedback.
Strong leadership, analytical thinking, and problem-solving abilities, with experience managing projects.
Exceptional attention to detail and the ability to think creatively to tackle challenges at both macro and micro levels.
- Define and communicate the strategic vision for Data and AI use cases with senior leadership, ensuring alignment on long-term goals and roadmap for growth and adoption.
