Data Scientist I

Philadelphia, PA, United States

TD Description

About TD Bank, America's Most Convenient Bank

TD Bank, America's Most Convenient Bank, is one of the 10 largest banks in the U.S., providing over 9.8 million customers with a full range of retail, small business and commercial banking products and services at more than 1,100 convenient locations throughout the Northeast, Mid-Atlantic, Metro D.C., the Carolinas and Florida. In addition, TD Auto Finance, a division of TD Bank, N.A., offers vehicle financing and dealer commercial services. TD Bank and its subsidiaries also offer customized private banking and wealth management services through TD Wealth. TD Bank is headquartered in Cherry Hill, N.J. To learn more, visit www.td.com/us. Find TD Bank on Facebook at www.facebook.com/TDBank and on Twitter at www.twitter.com/TDBank_US and www.twitter.com/TDNews_US.

TD Bank, America's Most Convenient Bank, is a member of TD Bank Group and a subsidiary of The Toronto-Dominion Bank of Toronto, Canada, a top 10 financial services company in North America. The Toronto-Dominion Bank trades on the New York and Toronto stock exchanges under the ticker symbol "TD". To learn more, visit www.td.com.

We offer a competitive salary and benefit program, including: comprehensive, affordable health care through medical, dental, and vision coverage; financial security with life and disability insurance; opportunities to save using health savings and flexible spending accounts; retirement benefits to help prepare for the future; paid time off and work/life benefits to maintain a good balance.

Job Description

The Data Scientist I provides technical expertise across a broad range of data analysis functions including data modeling, visualization, data profiling, data origin and lineage, report design, and other specialized data management functions.

Works autonomously and accountable for acting as a lead within a specialized business management function and provide strategic work direction to others

Provides seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members

Provides expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the organization

Creates and builds final dataset from external and internal datamarts for modeling and adhoc analysis ensuring the data is clean and verifies the integrity of the data

Applies data mining techniques such as supervised and unsupervised learning to understand the meaningful patterns in the data.

Uses statistical, econometrics and machine learning techniques on large dataset to measure results and show key trends in the data, identify casual impact and attribution, model and predict future performance of products, customers and campaigns

Writes, creates and interprets complex queries (SQL, HIVE, R, SAS, Python Spark etc.) for standard as well as ad hoc data analysis purpose

Collaborates and works closely with cross functional business partners, internal analytics team members to identify gap and business problems

Leads the designs, development and implementation of Advanced models (Marketing stages, Attrition, Customer Value, media mix, digital attribution) and create meaningful presentations and analyses that tells a story focused on analytical insights

Synthesizes data and analytical methods into actionable business strategy and communicate findings to business partners and executive management team

Job Requirements

Bachelor's degree in Statistics, Operational Research, Applied Math, Engineering and or Science (Master's Degree Preferred)

5+ years relevant experience

Proficient PC skills including a strong competency in MS Excel and PowerPoint, and a variety of PC based analytical and reporting software packages

Working experience in the knowledge, utilization and adoption of the latest tools (i.e. machine learning) and technologies (i.e. Hadoop) in big data and advanced analytics

Strong analytical and program solving skills are required to interpret data and draw conclusions

Excellent written and verbal communications skills

Qualifications

Preferred Qualifications: Significant prior success as a Data Scientist working on challenging problems at scale

In-depth knowledge of regressions such as logistic regression, supervised and unsupervised machine learning algorithms such as Gradient Boosting Method, XGBoost, NLP, Spatial DataScience etc., and time series forecasting

Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring of Data Science products

Good understanding of object oriented programming, testing framework and proficiency in programming languages such as R, Python and libraries/modules such as pyspark, sklearn, pytest, etc.. Familiarity with functional programming in Java, ArcGIS is a plus.

Working experience in the knowledge and utilization of Cloud platforms (AWS, Azure or Google Cloud).

Experience with both spark/HDFS system and traditional relational database/system language(e.g. SQL, etc.)

Familiarity with version control software or platform such as Git, Bitbucket or Github; IDE such as PyCharm, IntelliJ or Visual Studio Code.

Strong analytical and program solving skills are required to interpret data and draw conclusions.

Excellent written and verbal communications skills.

Ability to provide conflict resolution.

Strong ability to successfully balance competing priorities in a fast-paced environment

Inclusiveness

At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live in and serve, and creating an environment where every employee has the opportunity to reach their potential.

If you are a candidate with a disability and need an accommodation to complete the application process, email the TD Bank US Workplace Accommodations Program at [email protected] . Include your full name, best way to reach you, and the accommodation needed to assist you with the application process.

EOE/Minorities/Females/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity.

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