Data Scientist I

Key Skills

Apache Hadoop, Apache Hive, AWS, Azure, Big Data Technology, Bitbucket, Data science techniques, Effective communication skills, Git, Github, Google Cloud Platform (GCP), HDFS, Investment Bank, Java Programming, Machine learning techniques, Management, Microsoft-Excel, Natural Language Processing (NLP), Powerpoint, Python Programming, R Programming, SAS, SPARK Programming, SQL, Statistics, Teamwork, XGBoost

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

Company Overview

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.