WHAT YOU WILL BE DOING

The Decision Science Associate Director leads a team in delivering Machines Learning (ML) models, segmentation, and analytical insights in support of decision making. S//he is an experienced self-driven professional to partner with product, campaign, channel owners and agency to support targeting and personalization across marketing channels.

Key responsibilities:

• Collaborate across functional areas of our business at every level of seniority to uncover and address opportunities
• Interpret and synthesize findings across multiple analyses and influence optimal business action based on balancing business constraints and analytical findings
• Collaborate in wide variety of analytics projects including predictive modeling, customer profiling, journey analysis, campaign test design and analysis, product recommendations, and customer segmentation
• Create data driven insights and products (e.g., propensity models, response models, etc.) using marketing, demographic, and behavioral data. Ensure sound data strategy, quality, and coding best practices and bring recommendations and suggestions for improvements to supporting areas
• Establish and document modeling standards and processes, including identify and define problem, and design approach; prepare, explore, and transform data; build, validate, and deploy model; and monitor and evaluate results
• Manage model validation and model performance monitoring
• Explore and implement new data and analytic tools, techniques and industry best practices to apply to business problems
• Drive our audience strategy for cross-channel marketing, audience targeting and personalization using customer databases and channel tools including
• Be a mentor or resource for the team member, onboard new employees and interns, and recruit new talents
• Champion and lead the adoption of a test and learn culture

Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Master’s degree in statistics, math, computer science, quantitative psychology, economics/econometrics, or other quantitative decision sciences or relevant work experience

5+ years of progressive experience in data science and modeling, including use of structured and unstructured data in a business setting;

Financial industry experience; familiar with model governance process

Experience working in a fast-moving agile company

Track record of developing successful data science solutions that deliver significant business outcomes/benefit

Experience remotely managing/working with internal and external resources

Experience with analytics software tools or languages (Python,R, SAS etc.) and machine learning techniques

Experience creating Advanced Analytics models and campaigns for CRM

Experience with both descriptive and inferential statistics - ability to build basic prototype models

Hypothesis testing and experience with experimentation (A/B testing)

Strong interpersonal skills, written / verbal communication skills: able to explain Advanced Analytics in non-technical terms to business users and other diverse audiences

Strong quantitative and problem-solving skills with focus hypothesis formulation and testing.

Individually motivated and possess sound judgment, integrity, and a solid work ethic.

At Santander, we value and respect differences in our workforce and strive to increase the diversity of our teams. We actively encourage everyone to apply.

Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law.

Working Conditions:

Frequent Minimal physical effort such as sitting, standing and walking. Occasional moving and lifting equipment and furniture is required to support onsite and offsite meeting setup and teardown.

Employer Rights:

This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate at any time for any reason.

Primary Location: Boston, MA, Boston

Other Locations: Massachusetts-Boston

Organization: Santander Bank N.A.