Data Scientist II

Nous utilisons des tmoins pour fournir et amliorer nos services de sorte vous offrir une exprience plus personnalise, et les services de suivi sont dsactivs. Pour en savoir plus sur les tmoins utiliss et pour consulter vos prfrences, veuillez vrifier les paramtres de votre navigateur ou slectionner Accepter pour consentir lutilisation des tmoins. Avertissement: Pour les visiteurs de lUnion europenne et du Royaume-Uni, seuls les tmoins strictement ncessaires sont utiliss sur ce site. Ces tmoins sont ncessaires au bon fonctionnement du site Web et ne peuvent pas tre dsactivs. Work Location: Mount Laurel, New Jersey, tats-Unis d'Amrique 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: Were delighted that youre considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, were 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 USWAPTDO@td.com. 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. #J-18808-Ljbffr