Data Scientist

Data Scientist CFS•4.0 Orlando, FL Job Details Full-time $70,000•$85,000 a year 10 hours ago Benefits Health savings account Health insurance Flexible spending account Paid time off Employee assistance program 401(k) matching Qualifications AI models Systems integration Cloud analytics services Data visualization software proficiency Azure Predictive modeling analysis Hypothesis testing Enterprise software Design of experiments NumPy SQL Pandas Collaboration with product development teams AWS Business intelligence tools Machine intelligence Inferential statistics Model deployment Enterprise Integration Improving predictive model accuracy Matplotlib Organizational skills Seaborn Scalability Data-driven problem-solving 1 year Machine learning libraries Model evaluation Data visualization projects Statistical significance testing

Full Job Description Job Title:

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 About the

Role:

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. Preferred Experience of the

Data Scientist:

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 Bonus Experience of the

Data Scientist:

Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stacks Data visualization skills (e.g., Tableau, Power BI , matplotlib, seaborn) #LI-NB5 #INJUN2026