Data Scientist III
Data Scientist III
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Purpose of Role:
Responsible for leading the development and application of machine learning models advanced analytics and statistical techniques to support strategic decisionmaking and optimize business outcomes.
Expectations:
- Develops deploys and refines machine learning models to solve complex financial services business problems and improve organizational processes.
- Works with crossfunctional teams to collect clean and preprocess data from diverse sources to ensure highquality input for analyses.
- Conducts indepth data analysis and produce actionable insights to support strategic initiatives and partners with various business units to understand needs and apply data science solutions effectively to meet business objectives.
- Continuously assesses and finetunes models to ensure accuracy robustness and reliability adapting to evolving business conditions as necessary.
- Documents processes maintain data science best practices and provide training and support to team members on data initiatives.
Reports To:
- VP Emerging Technology
Direct Reports:
- One or none
Qualifications
QUALIFICATIONS EDUCATION REQUIRED
- Bachelors Degree
QUALIFICATIONS EDUCATION PREFERRED
QUALIFICATIONS EDUCATION FIELD(S)/PROFESSION(S)
- Bachelors degree in Computer Science Statistics or related field.
QUALIFICATIONS EXPERIENCE/SKILLS/COMPETENCIES
- Minimum 5 years of experience in data science or a related field with expertise in machine learning methodologies and datadriven solution design.
- Proficiency in data science tools and programming languages such as Python R SQL and experience with frameworks like TensorFlow or PyTorch.
- Expertise in data science methodologies and the ability to provide actionable insights that drive innovation and efficiency across the organization.
- Familiarity with big data technologies (e.g. Spark Hadoop) and cloud environments (AWS GCP Azure) is highly preferred.
- Recent experience in developing and implementing timeseries models classification models regression models dimensionality reduction techniques and clustering algorithms.
- Experience with technology across lending and financial services industry verticals preferred.
- Experience functioning at senior levels in adaptive evolving environments across financial services preferred.
- Strong understanding of emerging technologies like AI ML etc.
- Advanced understanding of statistical analysis predictive modeling and machine learning techniques.
- Proficiency in data visualization tools like Tableau Power BI or matplotlib for effective communication of findings to stakeholders.
- Strong knowledge of model optimization A/B testing and validation techniques.
- Ability to communicate complex technical findings clearly and translate them into actionable insights for nontechnical audiences.
- Excellent collaboration skills and the ability to work autonomously in a fastpaced environment.
- Knowledge of key U.S. laws and regulations relating to financial services technology.
- Knowledge of a wide range of technologies and how to best leverage them at enterprise scale to achieve strategic objectives that drive enterprise business outcomes.
- Strong decisionmaking capabilities with the ability to weigh the relative costs and benefits of potential actions and identify the most appropriate action(s).
- Ability to take initiative work autonomously and drive projects forward to completion.
- Ability to present complex material in an easily understandable format (written or oral) and communicate effectively across groups including executives with varying levels of technology knowledge.
- Highly motivated with an ability to manage openended challenges.
- Ability to prioritize effectively manage multiple matters and meet deadlines.
- Ability to stay abreast of rapidly changing technologies and ideas across the lending space.
- Comfortable navigating areas with evolving structures to establish processes and organization where needed.
- Ability to build effective crossfunctional partnerships through open communication.
Compensation
The base salary range for this position is $90000 $140000 inclusive of all geographical differences in the labor market. The base salary for the position will be determined based on factors such as the candidates work location skills education and experience. In addition to those factors we believe in the importance of pay equity and consider the internal equity of our current team members in determining any final offer. We offer a competitive benefits package including health dental vision life insurance paid timeoff benefits flexible spending account 401(k) with employer match and ESPP.
Additional Information
The application deadline for this job opportunity is 4/14/2025.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.
Finance of America is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color sex (including pregnancy) sexual orientation religion creed age national origin physical or mental disability gender identity and/or expression marital status veteran status or other characteristics protected by law.
Employment Type
Full-Time
