Senior Data Scientist
Company: One Park Financial
Location: Miami
Posted on: January 23, 2025
Job Description:
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:
- Local & National Health Insurance
- Dental and Vision insurance
- Group Medical Bridge
- 401k with Match
- Gas Stipend
- ID Protection: 100% covered by the company
- Life Insurance: 100% covered by the company
- Generous PTO and holidays
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Keywords: One Park Financial, Deerfield Beach , Senior Data Scientist, Other , Miami, Florida
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