Data Scientist

We are seeking a talented and motivated Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, statistical modeling, AI, and machine learning, with a specific focus on financial data. This role will involve working closely with various departments to analyze complex datasets, develop predictive models, and provide actionable insights to drive business decisions. Essential Functions/Job Duties Build Baker Hill's Data Analytics platform from the ground up, including designing the data warehouse, creating the ETL layer, publishing data visualizations, and maintaining practical application for teams across the organization. Analyze and interpret complex financial datasets to identify trends, patterns, and anomalies. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Communicate findings and insights to stakeholders through clear and concise reports and visualizations. Utilize technologies available in Microsoft Azure for data storage, processing, and analysis. Stay up to date with the latest advancements in data science, machine learning, AI, and financial analytics. Skills and Qualifications Required: 5-7 years as a Data Scientist with a history of increasing responsibilities, preferably in the financial industry. Strong proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools such as Tableau, Power BI, or similar. Experience with Microsoft Fabric is a plus. Knowledge of statistical modeling techniques and machine learning algorithms. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Education: BA/BS in Data Science, Statistics, Computer Science or related field required. Note: The list of responsibilities and requirements provided in this job description is not exhaustive. The role may require additional duties and skills not specifically mentioned, as needed to fulfill the position. Candidates local to Carmel, IN or Greater Indianapolis preferred. This role will be required to have an onsite presence. #J-18808-Ljbffr

Created: 2025-03-08