• You analyze our complex data and derive valuable insights using data mining, clustering, forecasting, or recommendation/classification methods. • You ensure the correctness of our data across different systems. • You analyze our data, present the results in an understandable way, and derive concrete strategic actions. • You work closely with Product Management, Community Management, and the executive team — not in an ivory tower, but as a collaborative sparring partner. • You connect quantitative analyses with qualitative feedback from our community to enable well-founded decisions. • You establish best practices such as code reviews and documentation. • You take on technical and, prospectively, disciplinary leadership of a small team, support the development of your colleagues, and further build out the area structurally. • Together with the executive team, you define the long-term data strategy and establish a true data culture within the company.

• Data analysis and Data Science, including data mining, clustering, forecasting, recommendation systems and classification • Ensure the correctness and integrity of data in our systems • Prepare data-driven decisions and derive strategic measures • Work closely with Product Management, Community Management and Executive Management • Link quantitative analyses with qualitative community feedback • Establish best practices such as code reviews and documentation • Provide technical and, prospectively, disciplinary leadership for a small team • Support the development and strategic build-out of the Data Science function • Define the long-term data strategy together with Executive Management

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for solving complex business problems by extracting knowledge and insights from large data sets, especially unstructured text. Uses Large Language Models (LLMs) and other AI techniques to extract insights at scale from a range of rich of textual data sources. Enables exploration of this unstructured data with techniques like RAG, Knowledge Graphs, and advanced statistical analysis. Augments textual data with additional metadata to generate actionable insights and solutions. Builds pipelines for efficient processing of these data, to enable fast and flexible business insights. Explores emerging AI-based techniques, especially agentic workflows, that improve our CX, our products, and our go-to-market capabilities. Aligns technical roadmap to business strategies, and ensures insights are actionable. The team is composed of experts in artificial intelligence, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis. The systems that the team builds get used across the multitude of Company data science-based services and deployments. Works with moderate guidance in own area of knowledge. Job Description Core Responsibilities - Interacts with CX, Strategy, Product, and other business-facing teams to identify questions and issues for data analysis and experiments. - Generates actional insights from data quickly. Builds AI-driven processes that make these insights repeatable, flexible, and scalable. - Synthesizes prompts and context by joining multiple data sources for LLM analysis; tracks accuracy and reliability of results - Communicates insights effectively; uses data to drive improvement in the business. Engages with executive levels as appropriate. - Enables non-technical users to explore unstructured data by building apps, agents, and other tools. - Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. - Contributes technical ideas; shares techniques learned through project work or other experiences. - Researches and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions. - Uses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics (e.g., predictive models, lifetime value, propensity models). - Creates data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. - Builds customer centric models and optimization tools to support large scale projects that utilize online and offline data, structured and unstructured data, set top box data and media/behavioral/attitudinal data. - Consistently exercises of independent judgment and discretion in matters of significance. - Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. - Other duties and responsibilities as assigned. ​ #EBICareers Employees at all levels are expected to: - Understand our Operating Principles; make them the guidelines for how you do your job. - Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. - Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. - Win as a team - make big things happen by working together and being open to new ideas. - Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. - Drive results and growth. - Support a culture of inclusion in how you work and lead. - Do what's right for each other, our customers, investors and our communities. Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Skills Data Analysis, Data Science, Machine Learning (ML) Compensation National Pay Range: $66,836.39 USD-$156,647.79 USD Illinois Pay Range: $71,013.67 USD - $137,850.06 USD Colorado Pay Range: $75,190.94 USD - $144,115.97 USD Hawaii Pay Range: $87,722.76 USD - $131,584.14 USD Washington DC Pay Range: $96,077.31 USD - $144,115.97 USD Maryland Pay Range: $79,368.21 USD - $144,115.97 USD Minnesota Pay Range: $75,190.94 USD - $131,584.14 USD New York Pay Range: $79,368.21 USD - $156,647.79 USD Washington Pay Range: $75,190.94 USD - $150,381.88 USD New Jersey Pay Range: $83,545.49 USD - $150,381.88 USD Vermont Pay Range: $79,368.21 USD - $125,318.23 USD Massachusetts Pay Range: $83,545.49 USD - $150,381.88 USD California Pay Range: $75,190.94 USD - $139,242.48 Comcast intends to offer the selected candidate base pay within the posted range for this role at the time of posting dependent on job-related, non-discriminatory factors such as experience. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. Education Master's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Certifications (if applicable) Relevant Work Experience 2-5 Years Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Comcast will consider for employment applicants with arrest or conviction records in accordance with the requirements of applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Please note that federal state, or local laws and regulations may restrict or prohibit Comcast from hiring individuals convicted of certain crimes. Additionally, an applicant’s criminal history may have a direct, adverse, and negative relationship on the job duties of this position, which may result in the withdrawal of a conditional offer of employment.

Work Location: New York, New York, United States of America Hours: 40 Pay Details: $76,290.00 - $125,260.00 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. 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: Analytics, Insights, & Artificial IntelligenceJob Description: Please be aware that this role within this line of business is only eligible to those candidates that are U.S. Citizens / Green Card Holders, and will not be eligible for TD work visa support or sponsorship (e.g., H-1B, F-1 OPT/STEM OPT, TN or other work visa authorizations). Applicants must have authorization to work in the United States without current or future need for TD sponsorship. The Data Scientist II is responsible for collecting data and using 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. Dept overview: The Data Scientist II is part of the FCRM Screening Capabilities team but also works with cross-functional teams on various projects. He/she will resolve outstanding data issues and create innovative solutions; Conduct ongoing data mining to ensure artifacts provide value, including root cause variance analysis; Perform additional duties as assigned. Depth & Scope: - Works autonomously within a specialized business management function and may provide work direction to others - Provides seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members - Scope 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 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+ year of relevant experience; higher degree education and research tenure can be counted Preferred skills: - SQL developer, Python, advanced Excel. Customer Accountabilities: - Understands business context and data infrastructure and translates business problems to viable data science solutions - Uses a wide range of programing 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 - Visualizes 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 - Collaborates 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 retains long term benefit to the business 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 - Adheres to enterprise frameworks or methodologies that relate to activities for our business area - Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities - Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations - Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist - Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues - Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements - Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts - Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite Employee/Team Accountabilities: - Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest - Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit - Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques - Participates in personal performance management and development activities, including cross training within own team - Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities - Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices - Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships - Contributes to a fair, positive and equitable environment that supports a diverse workforce - Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally 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. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes. #LI_AMCBCorporate 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 strive to make every interaction, product, and experience remarkably human and refreshingly simple for 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 foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities. 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. If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact. We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best. Training & Onboarding We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role. Interview Process 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 TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at USWAPTDO@td.com. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.