Schedule

Schedule: Monday-Friday 8:00-5:00 (40 hours)

What You'll Do

Summary/Objective:

The Data Scientist II role demands a high level of analytical skills to solve diverse business problems and provide high quality insights by delivering innovative solutions that create significant impact for the business. It is expected that the individual have an inquisitive mind-set with strong critical thinking and a desire to solve business problems through the effective application of appropriate models and tools.

This role requires an individual who takes initiative with a zeal to execute projects that are meaningful to the business. Experience in managing the delivery of advanced analytics, AI/ML driven projects will add value, as the organization works to continue to build out data science and advanced analytics as a competency.

Essential Functions:

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Assist in leading project delivery individually or along with other team members by - gathering requirements, aligning on scope, designing the approach, generating a plan of action, executing delivery and managing stakeholder expectations
• Developing innovative and actionable solutions from scratch with an aptitude for leveraging critical thinking and analytics applied to complex business problems and translating outputs into tangible business ready solutions
• Facilitate data enabled decision making by developing and communicating qualitative/quantitative analytics, tailoring presentations and key messages for stakeholders of various levels across the organization, both technical and non-technical.
• Work with both internal and external stakeholders to successfully understand and collaborate in designing the requirements for a project/solution and build the analytical construct based on those requirements.
• Participate in the structuring of business problems, developing hypotheses, and formulating problem solving approaches
• Own and manage all data for specific modules of analytical projects; understanding the data and data structures, with the ability to mine data to find causal relationships and key insights
• Document, review and validate models and solutions with governance in mind, so as to ensure manageability, supportability and alignment with corporate strategy.
• Conduct all job functions and responsibilities in accordance with all company Compliance, Information Security and Regulatory policies, procedures and programs

What You'll Need

• Bachelor's degree in Computer Science, Economics, Math, Statisitics or related field
• Minimum of 2-4 years of professional experince in Advanced Data Analytics
• Minimum of 1 years of experience in Financial Services preferably Banking
• Proficient knowledge of Microsoft Office, Excel, Macros, VBA, SAS & SQL
• Intermediate to expert level of proficiency in coding with Python and/or R programming for data science
• Proficient knowledge of machine learning algorithms like SVM, KNN, Random Forests, Boosted Trees, Neural Networks etc., and capable of determining which are most appropriate for a given problem.
• Experience in developing efficient code in SQL/SAS or similar development tools and frameworks
• Good understanding of Predictive Modeling
• Sound understanding of statistical concepts like regression, Chi-square tests, hypothesis testing etc.
• Background, training, or experience in quantitative analysis, such as: Applied Math & Science, Computer Science & Engineering, Statistics, Operations Analysis, Economics
• Out-of-box thinking, and team player approach with a passion for solving complex problems, will be key attributes for this role
• Able to work in fast pace continuously evolving environment and ready to take on uphill challenges
• Working knowledge of Agile Methodology

What We Do

DCU is the largest credit union headquartered in New England - serving more than one million members in all 50 states. With over 1,900 team members, we strive to make DCU a great place to work with an excellent work-life balance, and a community that cares.

We are proud to be a Equal Opportunity Employer/ Protected Veterans/Individuals with Disabilities.