Data Science Manager, Predictive Modeling

Key Skills

Algorithms, Data Analytics, Data science techniques, Design, Investment Bank, Machine learning techniques, Python Programming, SAS, SQL

Job Description

• Set the vision for a best-in-class delivery system for predictive models
• Direct analytical strategy to optimize the effectiveness of targeting models in driving incremental prospect acquisition and customer deepening
• Measure the value of specific analytics initiatives and track the increase in business profitability that can be claimed by each individual analytics use case
• Serve as a thought leader in partnership with key stakeholders to enhance business results and identify business process improvement opportunities based on analytical insights
• Interpret results to influence and be a trusted advisor to stakeholders and senior management 
• Own the analytical strategy and book of work for the Consumer Banking Analytics team, including building intelligence to support continuous improvement across the full lifecycle of marketing campaigns
• Lead a team of experienced and entry-level data scientists, providing career mentorship and hands-on technical guidance 
• Guide experimental designs to meet business objectives
• Continuously innovate through exploration of new techniques, platforms, and data sources

Experience and Skills:

• 3 years of experience in a leadership position with accountability for team performance and mentoring
• 10 years of experience in applied statistical and predictive modeling, including supervised and unsupervised machine learning techniques and recommendation and optimization algorithms
• 8 years of experience in applying statistical methods to real-world marketing business problems, preferably within financial services, including A/B testing, customer journey analytics, financial analysis of marketing campaigns, and investment optimization
• Advanced knowledge of SQL as well as Python or R; familiarity with SAS
• A desire to lead a data science team and set a tone of collaboration, openness, growth, and execution in alignment with an agile mindset
• A disciplined approach to making decisions and setting expectations
• Demonstrated ability to effectively communicate analytical results and recommendations verbally and in writing to senior leadership
• A commitment to intellectual rigor and observance of regulatory & policy requirements, data privacy controls, and responsible & explainable AI

Education and Certifications:

• Master’s or PhD in a quantitative discipline such as Statistics, Data Science/Analytics, Mathematics, Physics, Engineering, Economics, Finance or related fields

Hours & Work Schedule

Hours per Week: 40

Work Schedule: Monday-Friday 8am-5pm

Pay Transparency 

The salary range for this position is $152,000 - $200,000, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience. 

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens’ paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits.

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Equal Employment Opportunity

At Citizens we value diversity, equity and inclusion, and treat everyone with respect and professionalism. Employment decisions are based solely on experience, performance, and ability. Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws.