Data Science Analyst

Job Description

At Discover, you will never stop learning. We are looking for people driven by purpose, who want to help us change the game in financial services. We were founded in 1986, and now have over 16,000 employees. Together we are dedicated to helping people spend smarter, manage debt better and save more for a brighter financial future.

By joining us, you will be part of a culture where diversity, teamwork and collaboration reign. We are as focused on our employees as we are on our customers – and we have been consistently awarded for both. Be the reason we help millions of people build a brighter financial future, and achieve yours along the way.

Job Description

At Discover, you will never stop learning. We are looking for people driven by purpose, who want to help us change the game in financial services. We were founded in 1986, and now have over 16,000 employees. Together we are dedicated to helping people spend smarter, manage debt better and save more for a brighter financial future.

By joining us, you will be part of a culture where diversity, teamwork and collaboration reign. We are as focused on our employees as we are on our customers – and we have been consistently awarded for both. Be the reason we help millions of people build a brighter financial future, and achieve yours along the way.

What is the AARC@606?

Discover’s business strategy starts with analytics and data. Our analytics roles provide quantitative and qualitative analysis for the development of new or existing strategies, models, products, and improving programs or systems. We help drive high-quality, fact-based decisions by providing critical insights into consumer, product and behavioral data. These roles also play a significant role for leveraging AI/ML in automated decisioning systems to mitigate fraud and other risks, increase marketing performance, and improve customer interactions. At Discover, we leverage data and analytics throughout the product and customer lifecycles to improve our products, strategies, processes, and capabilities.

The Analytics Acceleration Resource Center, AARC@606, is Discover’s latest investment in advancing analytical capability and careers. We operate with speed and agility, maintain governance and standards, and leverage both technical and business expertise. Team members may work independently, or as an integral part of a project team, to develop predictive models, conduct simulations, perform ad-hoc analyses, design and produce analytic reports to solve business problems. These roles may support one or more specific business functions, including product development, marketing, credit risk management, fraud mitigation, AML/BSA, customer service and infrastructure development to drive value through intelligent decisioning processes as well as insights.

Our Development Program for Analytics professionals

At Discover, we know that careers aren’t just about work, they’re also about people. We put our people first and are committed to building a diverse workforce where every team member can thrive in an inclusive and equitable environment.

The analytics development program at the AARC@606 is designed to accelerate learning and career development of participants. Our goal is to enable passionate, motivated, curious, and solutions-oriented professionals and give them the training, resources, skills, and experiences to create value for the business while advancing their careers.

As part of the program, participants will:

• Work alongside experienced technical managers and contribute to challenging and meaningful assignments across Discover, ranging from consumer banking, credit risk management, AML/BSA, fraud mitigation, customer service, etc.
• Participate in a structured learning curriculum and training to increase development and impact
• Develop cross-functional industry and market knowledge, along with technical and leadership skills
• Receive ongoing feedback and coaching from project leads, performance managers, and a dedicated program management team
• Engage with other participants as a cohort to expand knowledge sharing, collaboration, and professional network
• Explore various career pathways in analytics, modeling, and data engineering
• Advance to a business area team within 12-24 months

Job Responsibilities

As a Data Science Analyst, you will:

• Be responsible for data preparation, including sampling, data pulling, aggregation, and other data preparation treatments
• Develop types of models/prepare analytic reports which meet business objectives, requirements, and timelines
• Apply techniques such as customer segmentation, optimization, test & design of experiments and predictive analytics to solve business problems.
• Use financial impact analysis to assess the effectiveness of proposed solution/strategy.
• Perform simulations and general ad-hoc analyses to provide insights for strategy design, evaluation and testing
• Communicate project results to business partners and management in a clear and effective manner
• Work closely with business partners to implement models and decision strategies
• Document project results, address project issues and answer questions from business partners
• Provide input and consultation to business partners on various statistical, technical, data or business issues
• Identify and share programming knowledge and organizational expertise for efficient and effective execution of project tasks
• Engage in continuous learning to maintain a high level of competency in statistical and analytical principles, tools, and techniques
• Consistently follow standard work processes and documentation requirements.

Preferred Qualifications

• Bachelor degree in Engineering, Computer Science, Communication, Statistics, Mathematics, Management Science, Economics, Econometrics, Operational Research, etc.
• 0-2 years of work experience in Analytics (Data or Business) or related field
• Ability in learning and improving programming skills for business analysis, strong programming (SQL, Python) skills is a plus
• Demonstrated project management skills, including ability to prioritize, meet deadlines and follow through on completion of high-profile projects
• Strong interest in using data for business insight, experience in modeling is a plus
• Strong desire of learning and willingness to acquire needed knowledge and skills
• Positive attitude, willingness to collaborate, strong work ethic, and demonstrated personal initiative
• This role is not eligible for visa sponsorship

What are you waiting for? Apply today!

The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.