Data Scientist - Forsyth Barnes

Permanent Job Alert:

Title

Data Scientist

Location

Philadelphia (Hybrid)

Salary

Up to $200,000 + Bonus

Industry

FinTech

Brief Overview:

I am working alongside a fast-growing financial technology firm established 10 years ago that delivers rapid financing to small businesses, often within 24 hours. Their model provides an upfront lump sum of cash in exchange for a share of future revenue, which creates a flexible repayment scheme that is aligned with a business's cash flow.

Job Responsibilities:

• Data Analysis: Gather, clean, and analyze large datasets to identify trends and insights.
• Model Development: Design and implement predictive models and algorithms to solve business problems (e.g., assessing the risk associated with an applicant and pricing credit in accordance with that risk).
• Software Development: Work closely with the company’s dedicated team of software engineers to design and implement enhancements to its proprietary patent-pending software platform.
• Data Visualization: Create dashboards and visualizations to communicate findings to stakeholders.
• Innovation: Play a lead role in extending the company’s use of automation and AI across all aspects of its operations.
• Collaboration: Work with all functional areas (e.g., sales, underwriting, finance, collections, operations) to define data requirements and deliver practical solutions.
• Tool Utilization: Apply programming languages like Python, R, or SQL and tools such as TensorFlow, Power BI, Tableau, and ChatGPT.

Job Requirements:

• Genuine passion for applying data science methodologies to solve business problems.
• 3+ years of experience in data science, with some hands-on AI/ML projects.
• Strong statistical and mathematical modelling skills.
• Strong programming skills in Python, R, or Java.
• Proficiency in SQL and working with large datasets.
• Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML deployment.
• Proven experience building, training, and optimizing machine learning models.
• Knowledge of deep learning, computer vision, natural language processing (NLP), or reinforcement learning.
• Ability to deploy AI models in production environments and integrate them with business applications.
• Ability to perform exploratory data analysis and draw actionable insights.
• Experience translating complex data science concepts for non-technical stakeholders.
• Strong written and verbal communication for reporting findings and recommending solutions.
• Experience in A/B testing, feature engineering, or data pipeline development.
• Strong problem-solving and critical thinking abilities.
• Adaptability to rapidly evolving tools and technologies.
• Collaborative mindset that enables effective teamwork.
• Uncompromised values and a commitment to adhere to the highest standards of professional conduct.

If you're interested, please apply by emailing a copy of your most up-to-date CV and your current availability.

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