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Lead Data Scientist (Artificial Intelligence/Machine Learning)

  • Job type Posted on: Jul 01, 2026
  • Experience level Treasury Department
  • Employment type Melbourne, Florida
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Lead Data Scientist (Artificial Intelligence/Machine Learning)

Job Type :

Full-time

Job Location :

Melbourne Florida United States

Remote :

No

Jobcon Logo Job Description :

Senior Data Scientist The following are the duties of this position at the full working level: Serves as a Senior Data Scientist by leading advanced analytics projects, defining objectives, coordinating deliverables, evaluating team performance, and resolving challenges to ensure project success. Manages day to-day team operations, and driven outcomes aligned with the organization's goals. Responsibilities include obtaining approvals on project documentation, conducting code and model reviews, and ensuring project delivery acceptance. Communicates findings effectively, providing insights and training on complex analytics solutions to business partners at all levels. Collaborates with senior leaders, technical teams, and non-technical staff to address policy interpretations and translate technical challenges into actionable solutions. Champions IT's digital transformation with a focus on customer-centric, data-driven initiatives, ensuring the analytics environment evolves to meet business needs. Leads efforts to certify datasets, optimize processes for data extraction, transformation, governance, and cataloguing, and accelerate time-to-insights for business decision-making. Applies advanced knowledge of computer science, mathematics, and statistical theories to construct new analytical processes, interpret models, and report quantitative trends and relationships. Leads digital data and analysis efforts to enhance customer strategies, support platform development, and improve user experiences throughout the customer lifecycle. Ensures reports, analyses, visualizations, and dashboards accurately reflect critical information for digital services. Collaborates closely with managers and executives to advance IT analytics roadmaps, delivering enhanced data capabilities that support strategic business objectives.

Jobcon Logo Position Details

Posted:

Jul 01, 2026

Reference Number:

14660_58E10BE1328A16E642A01A2330F5A082

Employment:

Full-time

Salary:

Not Available

City:

Melbourne

Job Origin:

APPCAST_CPC

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Senior Data Scientist The following are the duties of this position at the full working level: Serves as a Senior Data Scientist by leading advanced analytics projects, defining objectives, coordinating deliverables, evaluating team performance, and resolving challenges to ensure project success. Manages day to-day team operations, and driven outcomes aligned with the organization's goals. Responsibilities include obtaining approvals on project documentation, conducting code and model reviews, and ensuring project delivery acceptance. Communicates findings effectively, providing insights and training on complex analytics solutions to business partners at all levels. Collaborates with senior leaders, technical teams, and non-technical staff to address policy interpretations and translate technical challenges into actionable solutions. Champions IT's digital transformation with a focus on customer-centric, data-driven initiatives, ensuring the analytics environment evolves to meet business needs. Leads efforts to certify datasets, optimize processes for data extraction, transformation, governance, and cataloguing, and accelerate time-to-insights for business decision-making. Applies advanced knowledge of computer science, mathematics, and statistical theories to construct new analytical processes, interpret models, and report quantitative trends and relationships. Leads digital data and analysis efforts to enhance customer strategies, support platform development, and improve user experiences throughout the customer lifecycle. Ensures reports, analyses, visualizations, and dashboards accurately reflect critical information for digital services. Collaborates closely with managers and executives to advance IT analytics roadmaps, delivering enhanced data capabilities that support strategic business objectives.

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