Data Scientist I - Lewiston, United States - TD Bank
Description
Work Location:
Mount Laurel, New Jersey
Hours:
40
Pay Details:
$68,640 - $112,320 USD
TD is committed to providing fair and equitable compensation opportunities to all colleagues. The included salary range for this role takes into account multiple factors that are considered in making compensation decisions.
The base pay actually offered may vary based upon candidate's skills and experience, job-related knowledge, licensure and certifications, geographic location, and other specific business and organizational needs.
As TD puts career development at the forefront of our colleague experience, it is not typical for an individual to be hired at or near the top of the range for their role.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Line of Business:
Data & Analytics
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.
Department Overview:
The TDBG Global AML Compliance Department is accountable for establishing TDBG's Global Anti-Money Laundering and Anti-Terrorist Financing Program (AML/ATF) to ensure that all TDBG businesses remain compliant with AML/ATF regulatory expectations in all jurisdictions where TDBG operates.
This includes setting consistent standards across business segments that maybe further tailored to specific business or jurisdictional requirements; conducting annual enterprise-wide AML risk assessments; maintaining the Global AML Policy (including Know Your Customer and Enhanced Due Diligence, record keeping & retention requirements); currency transaction and suspicious transaction monitoring and reporting; screening TDBG customers against regulatory watch lists (i.e., Name Matching); a hierarchy of designated AML officer functions; enterprise-wide and specialized AML training of employees; and independent AML testing.
Depth & Scope:
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
Scopes of role may have enterprise impact
Focuses on short to medium - term issues (e.g. 6-12 months)
Undertakes and completes a variety of complex projects and initiatives requiring specialist knowledge and/or the integration of cross functional processes within own area of expertise
Oversees and/or independently performs tasks from end to end for supported LOB or business units
Education & Experience:
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
Post-graduate degree in Statistics, Computer Science/Software Engineering, preferred
Expert knowledge of Python, SAS and SQL, preferred
Expert knowledge to apply statistical techniques and data mining tools to solve business problem, preferred
3- 5 years of experience in analytics environments, preferred
Experience in query optimization, debugging and automation, preferred
Excellent written and oral communication, analytical and presentation skills, including ability to communicate with individuals from various backgrounds, preferred
Excellent multi-tasking skills: ability to adapt to and manage changing priorities, preferred
AML knowledge, preferred
Customer Accountabilities:
Provides expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the organization
Interprets the meaning of new strategic directions and set objectives and measurements
Implements monitoring and feedback systems to evaluate progress and identify ways of making continuous improvements
Gathers and analyzes information or data on current and future trends of best practices
Seeks information on issues impacting the progress of organizational and process issues
Shareholder Accountabilities:
Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency
Educates the organization on approaches, such as testing hypotheses and statistical validation of result
Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment
Translates up to date information into continuous improvement activities that enhance performance
Researches organizational and professional trends, evaluate information sources, and collate and compare findings for bias, omission and accuracy, conduct objective analysis
Employee/Team Accountabilities:
Continuously enhances knowledge / expertise in own area and keep current on emerging trends /developments and grow knowledge of the business, analytical tools and techniques
Prioritizes and manages own workload to deliver quality results and meet assigned timelines
Supports a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest
Identifies opportunities and recommend data related solutions to enhance productivity, effectiveness and operational efficiency
Establishes effective relationships across multiple business and technology partners, program and project managers
Participates in knowledge transfer within the team and business units
Physical Requirements:
Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%
Domestic Travel – Occasional
International Travel – Never
Performing sedentary work – Continuous
Performing multiple tasks – Continuous
Operating standard office equipment - Continuous
Responding quickly to sounds – Occasional
Sitting – Continuous
Standing – Occasional
Walking – Occasional
Moving safely in confined spaces – Occasional
Lifting/Carrying (under 25 lbs.) – Occasional
Lifting/Carrying (over 25 lbs.) – Never
Squatting – Occasional
Bending – Occasional
Kneeling – Never
Crawling – Never
Climbing – Never
Reaching overhead – Never
Reaching forward – Occasional
Pushing – Never
Pulling – Never
Twisting – Never
Concentrating for long periods of time – Continuous
Applying common sense to deal with problems involving standardized situations – Continuous
Reading, writing and comprehending instructions – Continuous
Adding, subtracting, multiplying and dividing – Continuous
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job.
Who We Are:
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores.
Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world.
More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support.
We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing.
As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking.
Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential.
Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing – and so will you.Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals.
Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition.
Learn more )Additional Information:
We're delighted that you're considering building a career with TD.
Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Colleague Development
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed.
You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.
Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we're committed to helping you identify opportunities that support your goals.
Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
Accommodation
If you are an applicant with a disability and need accommodations to complete the application process, email the TD Bank US Workplace Accommodations Program at .
Include your full name, best way to reach you, and the accommodation needed to assist you with the application process.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.