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Senior Data Scientist - Miami Florida
Company: One Park Financial
Location: Miami, Florida
Posted On: 01/24/2025
Company Overview:One Park Financial (OPF) is a leading Financial Technology company dedicated to empowering small businesses by connecting them with a wide variety of flexible financing and funding options. Our mission is to provide entrepreneurs with the working capital they need to elevate their businesses to new heights. At OPF, we believe in working with high-performing individuals who are ready to play an integral part in our company's expansion.Why Join Us?At OPF, we foster a dynamic and inclusive company culture that emphasizes collaboration, innovation, and personal growth. Here's what you can expect when you join our team: - Innovative Environment: Work with cutting-edge technology and be part of a team that is constantly pushing the boundaries of fintech.
- Professional Growth: We invest in our employees' growth with continuous learning opportunities, training programs, and career advancement paths.
- Supportive Culture: Enjoy a supportive and inclusive work environment where your ideas are valued, and your contributions make a real impact.
- Community Focus: Be part of a company that understands the importance of small and mid-sized businesses to their communities and the nation's financial health.
- High-Performing Team: Join a team of committed individuals who are integral to our company's expansion and success.We are looking for a seasoned Data Scientist to join our Analytics team to enable core business transformation. This role will be responsible for using advanced statistical and machine-learning techniques to drive improvements. You will work closely with business stakeholders to understand problems and propose & implement AI/ML solutions. You will lead A/B testing within the organization and design experiments to prove success. You will perform EDA, identify modeling opportunities, feature engineer & ETL data, implement models and their monitoring, and highlight opportunities for change.Responsibilities:
- Utilize advanced statistical and machine learning techniques to analyze large datasets and build new AI/ML models.
- Conduct exploratory data analysis, feature engineering, and data preprocessing to solve business problems.
- Facilitate the deployment and monitoring of models for real-time and batch processing.
- Perform model evaluation and validation on a regular basis to ensure robust performance.
- Engineer A/B tests with scientific rigor. Gather test data and validate results to present to business stakeholders.
- Champion creative uses of existing data to solve business problems with intellectual curiosity.
- Produce statistical and data analysis visuals (charts, infographics) to communicate findings clearly and effectively to a non-technical audience.
- Collaborate with team members, product managers, and business stakeholders to identify opportunities for new and innovative AI/ML solutions.
- Analysis areas could include Onboarding Credit, Ongoing Credit, Marketing segmentation, Voice-based analysis, Text mining, Sentiment analysis, Risk quantification, and Risk-based pricing.Qualifications:
- 3-5 years of experience in Data Science and the Financial Industry, preferably in Credit or Lending.
- Master's degree in mathematics, statistics, computer science, or data science.
- Experience in transforming existing processes with AI/ML-based approaches.
- Proficiency in data manipulation. Excellent SQL and Python skills for data wrangling and ETL.
- Experience with dashboard tools such as PowerBI or other visualization tools.
- Experience building credit or risk models for Financial Services, Lending, or Insurance.
- Experience in validating models to identify ongoing improvements.
- Rock Solid data science skillset - Exploratory Data Analysis, Feature Engineering, Fitting, Tuning, and Comparing models, and managing the model Lifecycle.
- Experience with statistical modeling and data analysis using programming languages such as Python.
- Experience in ML engineering, cloud-based deployment, and machine learning model lifecycle management.Benefits:
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