Data Scientist

Location: Orlando, FL (Onsite)

Job Type: Full Time, Direct-Hire/Permanent

Salary: $70,000 - 85,000 base + Quarterly Bonus + Equity

Benefits: Free Healthcare, 401k match, PTO, HSA, FSA, Employee Assistance Program, and more.

Why Join The Company

• Competitive compensation package including free healthcare options with bonus potential and equity after 1 year of employment.
• The organization is shaping the future of financial services with cutting‑edge tech - innovating through advanced technology, proprietary data analytics, and tech‑driven investment strategies
• They operate like a modern, multi-division fintech powerhouse - leading an entirely new category in longevity‑based investing—truly a unique place to build a career at the forefront of an emerging market

Seeking a Data Scientist to assist with designing, development, and deployment of advanced analytics and machine learning solutions. This role is ideal for someone who thrives in complex data environments, enjoys solving high‑impact business problems, and can translate analytical insights into actionable strategies.

Job Responsibilities Of The Data Scientist

• Design, build, validate, and deploy machine learning models and advanced analytics solutions in production environments.
• Analyze large, complex structured and unstructured datasets to uncover trends, patterns, and opportunities.
• Apply advanced statistical modeling, hypothesis testing, and experimental design methodologies to answer key business questions.
• Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process, analyze, and transform data.
• Work closely with engineering and product teams to integrate analytics solutions into enterprise systems.
• Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or seaborn.
• Leverage cloud platforms (AWS, Azure, or GCP) and modern data stack technologies to improve model performance and data workflows.
• Communicate insights and recommendations to technical and non‑technical stakeholders.

• 1+ years of experience in data science, machine learning, or advanced analytics roles
• Proficiency in Python (e.g., pandas, scikit-learn, NumPy) and SQL
• Experience building, validating, and deploying machine learning models
• Understanding of statistical modeling, experimental design, and hypothesis testing
• Experience working with large, complex datasets (structured and unstructured)
• Strong communication skills with the ability to translate complex concepts into business‑friendly insights
• Collaborative mindset with experience influencing stakeholders across technical and non‑technical teams
• Curiosity, adaptability, and a passion for continuous learning

• Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stacks
• Data visualization skills (e.g., Tableau, Power BI, matplotlib, seaborn)