We are looking for an energetic Data scientist to join our collaborative team at TD Bank in New York, NY.
Growing your career as a Full Time Data scientist is a promising opportunity to develop productive skills.
If you are strong in strategic planning, teamwork and have the right determination for the job, then apply for the position of Data scientist at TD Bank today!
Data Scientist I 418814BR
Job Category - Primary Enterprise Data & Analytics
Work Location 4140 Church Road
Employment Type Regular
City Atlanta, Baltimore City, Boston, Burlington, Charlotte, Cherry Hill, Concord, Fairfield, Greenville, Miami, Mount Laurel, New York, Philadelphia, Portland, Providence, TD Footprint, Vienna, Washington, Wilmington
Time Type Full Time
State Connecticut, District of Columbia, Delaware, Florida, Georgia, Massachusetts, Maryland, Maine, North Carolina, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, South Carolina, Virginia, Vermont, TD Footprint
Hours 40
Pay Range $76,128 - $124,800 annually
Job Searches Match Statewide
Job Details 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.
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.
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 View email address on jobs.institutedata.com . 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.
Business Line TD Bank AMCB
Country United States, US TD Footprint
State (Primary) New Jersey
City (Primary) Mount Laurel
State #2 New York
City #2 New York
State #3 Florida
City #3 Jacksonville, Miami
State #4 Massachusetts
City #4 Boston
State #5 Pennsylvania
City #5 Philadelphia
State #6 South Carolina
City #6 Greenville
State #7 Connecticut
City #7 Fairfield
State #8 New Hampshire
City #8 Concord
State #9 Maine
City #9 Portland
State #10 Vermont
City #10 Burlington
State #11 Virginia
City#11 Vienna
State #12 Maryland
City #12 Baltimore City
State #13 Delaware
City #13 Wilmington
State #14 Rhode Island
City #14 Providence
State #15 District of Columbia
City #15 Washington
State #16 North Carolina
City #16 Charlotte
State #17 Georgia
City #17 Atlanta
Job Expires 09-Sep-2023
Benefits of working as a Data scientist in New York, NY:
? Learning opportunities
? Advancement opportunities
? Advantageous package
