Data Scientist II (US)

Toronto-Dominion; Mount Laurel Township (NJ); On-site; USD 76,000 - 115,000; Full time

Job summary

An established industry player seeks a Data Scientist II to join their innovative team in Mount Laurel, New Jersey. This exciting role involves leveraging data science techniques to uncover insights that drive strategic decision-making. The ideal candidate will have a strong background in SQL and Python, complemented by experience in MLOps and data visualization. You will collaborate with cross-functional teams to create scalable solutions that enhance business performance. If you're passionate about data and eager to make a significant impact, this opportunity is perfect for you.

Benefits

Health and well-being benefits

Savings and retirement programs

Paid time off

Banking benefits and discounts

Career development opportunities

Reward and recognition programs

Qualifications

• 3+ years of relevant experience in data science and analytics.
• Strong programming skills in SQL and Python for data manipulation.

Responsibilities

• Collect and analyze data to provide actionable insights.
• Collaborate with teams to develop sustainable data science solutions.

Skills

SQL

Python

Pyspark

MLOps

Data Science theory

Education

Undergraduate degree in math, physics, engineering, finance or computer science

Graduate's degree

Tools

Data visualization tools

Job description

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Work Location: Mount Laurel, New Jersey, États-Unis d'Amérique

Hours: 40

Pay Details: $76,128 - $114,192 USD

Line of Business: Analyses, informations et intelligence artificielle

Job Description:

The Data Scientist II is responsible for collecting data and using a wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning.

Depth & Scope:

• Understand business context and data infrastructure and translate business problems to viable data science solutions.
• Use a wide range of programming languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data.
• Visualize insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
• Collaborate with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retain long term benefit to the business.

Education & Experience:

• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience, or;
• 3+ years of relevant experience; higher degree education and research tenure can be counted.

Preferred Qualifications:

• 3+ years of work experience with SQL
• 3+ years of work experience with Python
• 3+ years of work experience with Pyspark
• 3+ years of work experience MLOps and end-to-end Data Science pipelines
• 3+ years of work experience with end-to-end Architectural paradigms
• In-depth knowledge of Data Science theory

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. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support.

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 and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition.

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.

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 [e-mail].

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.