Sr Data Scientist- Pricing & Profitability

Location: Columbus, OH, United States

Employment Type: 1ST

Description

Citizens’ Enterprise Data & Analytics (ED&A) organization is seeking a Senior Data Scientist to help drive and lead the building, maintaining, and refining of machine-learning capabilities that will unlock sustainable value creation through intelligent product and relationship pricing.

In this role, you will:

• Serve as the lead modeler for deposits & relationship pricing, building critical relationships with partners in product, pricing & profitability, finance, data, and technology to collaboratively bring transformational ML capabilities to market

• Provide thought leadership for pricing modeling and experimentation

• Design, develop, deploy, and integrate models into pricing and relationship decision engines

• Synthesize analytic findings into recommended actions to improve business outcomes

• Communicate analytical insights as a clear and approachable story, reducing complexity as appropriate for different audiences

• Maintain a mindset aligned to Citizens’ commitment to an Agile operating model and to managing ML models as a product
• Master’s or PhD degree in statistics, economics, analytics, data science, or related field 
• 5-8 years of experience in preparing raw data for analysis and extracting useful information by applying advanced technical and statistical programming techniques
• Solid command of the theory and application of statistical methods and machine learning algorithms, including causal inference techniques
• Proficient in Python and SQL
• Applied experience with the full model development lifecycle, from design and development to deployment, monitoring, and governance

• Familiarity with designing experiments, including randomized controlled trials 

• Familiarity with reinforcement learning techniques and sequential decision making
• A strong sense of intellectual curiosity and ability to thrive and deliver value in an entrepreneurial working environment
• Ability to work in a high-performance professional environment, with quick turn-around and evolving priorities
• Commitment to intellectual rigor and observance of compliance and data privacy controls
• A disciplined approach to making decisions and setting expectations
• Experience working with large datasets (greater than 1 million records) and applying techniques to efficiently manage big data
• Experience working with technical collaboration and project management tools such as Git and Jira (preferred)
• Experience working with cloud platforms (AWS preferred)
• Experience working with financial datasets (preferred)

A successful incumbent will have:

• Master’s or PhD degree in statistics, economics, analytics, data science, or related field 
• 5-8 years of experience in preparing raw data for analysis and extracting useful information by applying advanced technical and statistical programming techniques
• Solid command of the theory and application of statistical methods and machine learning algorithms, including causal inference techniques
• Proficient in Python and SQL
• Applied experience with the full model development lifecycle, from design and development to deployment, monitoring, and governance

• Familiarity with designing experiments, including randomized controlled trials 

• Familiarity with reinforcement learning techniques and sequential decision making
• A strong sense of intellectual curiosity and ability to thrive and deliver value in an entrepreneurial working environment
• Ability to work in a high-performance professional environment, with quick turn-around and evolving priorities
• Commitment to intellectual rigor and observance of compliance and data privacy controls
• A disciplined approach to making decisions and setting expectations
• Experience working with large datasets (greater than 1 million records) and applying techniques to efficiently manage big data
• Experience working with technical collaboration and project management tools such as Git and Jira (preferred)
• Experience working with cloud platforms (AWS preferred)

• Experience working with financial datasets (preferred)

  Hours & Work Schedule

• Hours per Week: 40
• Work Schedule: Monday - Friday
• Hybrid: 4 days per week on-site, 1 day remote

Pay Transparency

The salary range for this position is $120,000- $150,000 per year , 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 every 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

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, 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. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.