Looking to make a real difference?

You belong right here. 

Come build a rewarding career helping others achieve their financial dream at an organization that values your own long-term success. With your unique talents, you have what it takes to be bold and brilliant in everything you do and reach new heights for a company dedicated to diversity and inclusion, community and you.

If you share that belief, this is where you belong.

Join our team of more than 8,800 associates across 40 different locations worldwide and start your future today. 

Role

You will provide insights to business stakeholders in Marketing, Sales, Product, and Service, enabling them to make informed decisions. You will perform exploratory and detailed analysis of large data sets and present the analysis to stakeholders. You will maintain and create complex classifiers, predictive models and utilize other machine learning techniques, in collaboration with Data Engineers, Java Engineers, Business Analysts and business stakeholders to provide analysis and make recommendations.

Candidate

We are searching for someone innovative. Someone who can think outside of the box, understand our financial services business, and advocate visionary and new ideas. Further, the ideal candidate will be self-motivated, work well autonomously as well as with others, possess solid critical thinking skills, hold the ability to synthesize complex problems and develop programs to apply data science concepts to improve business efficiencies.  Excellent written and speaking communication skills are required to work successfully in a collaborative cross-functional environment and interact with the full spectrum of business divisions.

Qualifications

• 3+ years of professional experience as a data scientist
• A Bachelor/Master of Science degree in Computer Science, Operations Research, Statistics, or another quantitative discipline. A Master/PhD's degree is an added bonus.
• Experience with statistics and/or applied math as the basis for model evaluation and design of experiments. 
• Experience with data science projects from end to end, starting with problem formulation to model development in production.
• Experience utilizing conventional machine learning and deep learning libraries, in particular scikit-learn and keras.
• Experience developing data pipelines and feature engineering in Python, R or other equivalent programming languages.
• Experience working with large sets of data stored in a variety of storage platforms such as traditional Data Warehouse, Data Lake, and NoSQL.
• Experience mentoring Data Scientists
• Demonstrated ability to collaborate with stakeholders, understand requirements and translate them into solvable problems via Data Science/Machine Learning
• Experience with all phases of software development life cycle.
• Familiarity with machine learning techniques and classification algorithms.
• Familiarity with distributed computing and Big Data technologies, including map/reduce ecosystem (Hadoop, Spark, PySpark, HDFS, Hive)
• Strong programming experience in at least one programming language, preferably Python.
• Experience utilizing machine learning platforms such as Amazon SageMaker is a plus.

What we offer you

We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.

• Medical, dental, vision and life insurance
• Retirement savings – 401(k) plan with generous company matching contributions (up to 5), financial advisory services, potential company discretionary contribution, and a broad investment lineup
• Tuition reimbursement up to $5,250/year
• Business-casual environment that includes the option to wear jeans
• Generous paid time off upon hire – including a paid time off program plus nine paid company holidays and three floating holidays each calendar year
• Paid volunteer time — 16 hours per calendar year
• Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
• Business Resource Groups (BRGs) - internal networks that rally around common interest, experiences and identities such as race, ethnicity, gender, ability, military status and sexual orientation. BRGs play a vital role in educating and engaging our people and advancing our business priorities.

Competitive compensation, includes base salary and eligibility to participate in either an annual bonus program or sales incentive plan, as applicable.  Base salary range provided below is a reasonable estimate and final base salary may differ based on the selected candidate’s education, training, experience, licensure requirements, travel requirements and geographic location.

Location

Base Salary Range

We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.