AI Developer (2 openings)

AI DeveloperMust be able to sit on site in Woburn, MA 5x a weekThe Enterprise Data Management team is a nimble, cross-functional group that thrives on solving complex data challenges. We manage enterprise data assets, engineer scalable reporting solutions, and deliver actionable insights that inform strategic decisions across the bank.We’re seeking an AI Developer with a strong analytical mindset and a passion for coding—someone who can bridge the gap between raw data and business intelligence. This role offers the opportunity to work with modern data stacks and contribute to the evolution of our data infrastructure.Key ResponsibilitiesData Analysis & Insights Generation (30%)Perform exploratory data analysis (EDA) and statistical profiling using Python (leveraging libraries such as Pandas, NumPy, and SciPy) and Java for backend data processing tasks.Develop reusable scripts and modular code for data wrangling, anomaly detection, and KPI tracking.Apply object-oriented programming principles to build scalable data pipelines and analytical utilities.Data Visualization & Reporting (40%)Design and implement interactive dashboards using Tableau, Power BI, or custom-built web interfaces.Utilize DAX, Power Query, and Salesforce APIs to integrate disparate data sources into unified reporting layers.Translate complex datasets into intuitive visual narratives that support executive decision-making.Data Extraction & Preparation (40%)Build and maintain ETL workflows using Python, Java, and SQL-based tools to extract data from PostgreSQL, MSSQL, and cloud-based data lakes.Automate data cleansing and transformation routines using Apache POI (for Excel automation in Java), VBA, and Power Query.Ensure data integrity through rigorous validation, schema enforcement, and exception handling.RequirementsProgramming Proficiency: Strong command of Python for data analysis and scripting, and working knowledge of Java for backend data processing and integration tasks.SQL Expertise: Advanced querying skills across relational databases (PostgreSQL, MSSQL).Data Engineering Mindset: Familiarity with ETL concepts, data modeling, and pipeline orchestration.Tool Agnostic Flexibility: Comfortable switching between tools and languages to solve problems efficiently.Collaborative Communication: Ability to work closely with data scientists, business stakeholders, and technical teams to translate requirements into analytical solutions.Nice To Haves (Or Things You'll Get To Learn)Experience with DuckDB, Polars, or other high-performance analytical engines.Exposure to cloud data platforms like AWS Redshift, Azure Synapse, or Google BigQuery.Familiarity with Git for version control and collaborative development.Interest in machine learning, predictive modeling, or statistical inference.Prior experience in financial services or other regulated industries.Qualifications2+ years of experience in data analysis, software development, or business intelligence, preferably in financial services or a regulated industry.Proficiency in Python and Java, with experience in data manipulation, automation, and backend integration.Strong SQL skills and familiarity with relational databases (PostgreSQL, MSSQL).Experience with data visualization tools (Power BI, Tableau) and dashboard development.Familiarity with ETL processes, data modeling, and version control systems (e.g., Git).Experience with Excel (including Power Query and VBA), and process documentation tools (Visio, Lucidchart).Excellent communication and stakeholder management skills.Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.