Data Scientist I

• Support data warehouse application management. 

• Assist with maintaining analytic products 

• Understand and Assist with data security. 
• Analyze large sets of financial data to identify trends, patterns, and insights that can drive business strategies. 
• Develop and implement predictive models, statistical analysis, and machine learning algorithms to solve business challenges.
• Collaborate with cross-functional teams (including but not limited to finance, marketing, and operations) to understand business problems and translate them into data-driven solutions.
• Assist in creating dashboards and visualizations to communicate insights and findings to non-technical stakeholders.
• Prepare and clean datasets, ensuring data quality and accuracy.
• Support senior data scientists in building and optimizing models for various banking applications.
• Contribute to automating data processing workflows and model deployment.
• Continuously research and stay up-to-date with emerging trends in data science and banking analytics. 

• Works with project and business leaders to identify data management requirements. 

• Manages aspects such as data sourcing migration, quality, design and implementation. 

• Scopes, plans and prioritizes multiple tasks.
• Completes annual compliance courses.
• Adheres specifically to all corporate policies and procedures. Also adheres to Federal and State regulations and laws; including, the Bank Secrecy Act and the Anti-Money Laundering Act.
• Adheres to all levels of our Service Excellence standards.
• Performs other duties as required.

These specifications are general guidelines based on the minimum experience normally considered essential to the satisfactory performance of this position. Individual abilities may result in some deviation from these guidelines.

• Advanced knowledge of Microsoft SQL Server (MS SQLServer) Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field.
• Solid understanding of statistical methods, data analysis, and machine learning techniques. - Proficiency in programming languages such as Python, R, or SQL.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and libraries (e.g., Matplotlib, Seaborn). Understanding of databases and data processing techniques.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills with the ability to present technical findings to non-technical audiences.
• A team player with a strong desire to learn and grow in the field of data science. 
• Experience with cloud platforms (e.g., AWS, Google Cloud, or Azure).
• Basic knowledge of financial products and banking operations.
• Familiarity with big data tools (e.g., Hadoop, Spark).

• PowerBI (MS Data Analyst)

Vision, hearing, speech, dexterity, visual concentration. A valid driver’s license is required. Must have the ability to stand, walk, sit and use hands and fingers. Must have the ability to work the hours and days required to complete the essential functions of the position, as scheduled. The environment is a professional office with standard office equipment.

Learning, thinking, concentration, ability to exercise self-control, ability to work in a customer relations’ environment. Must be able to pay close attention to detail and be able to work as a member of a team. Must have the ability to interact effectively with co-workers and customers, and exercise self-control and diplomacy in customer and employee relations’ situations. Must have the ability to exercise discretion as well as appropriate judgments when necessary.