Manager Data Science

Key Skills

Data Modeling, Data science techniques, Design, KPIs, Leadership Skill, Optimization, Statistics

Job Description

Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. The role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary. Manages a team of high performing quantitative analysts and will be responsible for ensuring the team stays motivated and engaged. Manages team performance, coach and develop employees and hire the right talent. In addition, this individual will identify, prioritize and supervise the team to flawlessly execute on initiatives. Develops and coaches teams to be able to identify, manage, and escalate risk, and effectively manages risk within the teams you oversee.

Responsibilities

• Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems.
• Manages priorities and sets of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners.
• Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
• Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.
• Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
• Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.
• Ensures standard work processes and documentation requirements are timely and consistently followed by team. Encourages continuous improvement of team processes and share across functional teams to ensure consistency.

Minimum Qualifications

At a minimum, here’s what we need from you:

• Bachelor’s Degree in Analytics, Engineering, Statistics or related field
• 6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field

Preferred Qualifications

If we had our say, we’d also look for:

• Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field
• 8+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field

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Compensation:

The base pay for this position generally ranges between $123,500.00 to $173,100.00. Additional incentives may be provided as part of a market competitive total compensation package. Factors, such as but not limited to, geographical location, relevant experience, education, and skill level may impact the pay for this position.

Benefits:

We also offer a range of benefits and programs based on eligibility. These benefits include:

• Paid Parental Leave
• Paid Time Off
• 401(k) Plan
• Medical, Dental, Vision, & Health Savings Account
• STD, Life, LTD and AD&D
• Recognition Program
• Education Assistance
• Commuter Benefits
• Family Support Programs
• Employee Stock Purchase Plan

Learn more at MyDiscoverBenefits.com.

What are you waiting for? Apply today!

All Discover employees place our customers at the very center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management.