• Design and maintain forecasting frameworks for revenue, GMV, merchant growth, and other key business drivers • Lead opportunity sizing for new products, pricing changes, market expansions, and strategic initiatives • Build causal impact measurement capabilities (e.g., synthetic control, diff-in-diff, geo-experiments) to quantify the true ROI of business investments • Develop and maintain a repeatable measurement playbook that standardises how the company evaluates bets — covering incrementality, attribution, and counterfactual reasoning • Create merchant and customer segmentation and scoring models that drive prioritisation across sales, marketing, and merchant success • Define decision-grade metrics and KPIs in partnership with Finance, Commercial, and Product leadership • Translate complex analytical findings into clear, actionable narratives for C-level and cross-functional stakeholders • Mentor analysts and data scientists across the team on statistical methods, causal inference, and analytical rigour

• Define and enforce event instrumentation standards and tracking plans across web, mobile, and backend systems • Own core product funnel definitions (e.g., merchant onboarding, checkout, subscription conversion) and ensure they are accurately tracked, monitored, and understood • Build and operationalise Salla’s experimentation framework, including: • Experiment design guidance (metrics, guardrails, randomisation units) • Statistical methodology (frequentist and/or Bayesian, sequential testing where appropriate) • SRM checks, pre-experiment power analysis, and MDE calibration • Post-experiment synthesis and decision documentation • Ensure trustworthy, reproducible reporting of experiment results — including clear communication of confidence levels, practical significance, and trade-offs • Partner with Product Managers and Engineers to embed measurement into the product development lifecycle, from PRD through to post-launch review • Conduct deep-dive product analyses (retention drivers, feature adoption, user segmentation) that shape the product roadmap • Collaborate with the Data Platform team on data quality, pipeline reliability, and self-serve analytics tooling for product teams • Mentor product analysts and foster a culture of analytical rigour, intellectual honesty, and curiosity

Work Location: New York, New York, United States of America Hours: 40 Pay Details: $96130.00 - $155950.00 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: The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material. Depth & Scope: - Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability - Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels - Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes - Position typically deals with senior/executive management - Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size - Focuses on longer-range planning for functional area (e.g. 12 months or greater) - May manage and prioritize multiple projects at a given time 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 - 5+ year of relevant experience; higher degree education and research tenure can be counted Customer Accountabilities: - Works closely with business owners to identify opportunities and serves as an ambassador for data science - Is familiar with the business context and data infrastructure and can translate 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: - Analytical thought leadership and stays current on developments in data mining and the application of data science - 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 enhances performance - Adheres to enterprise frameworks or methodologies that relate to activities for 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.

About Sovrn Every interesting company solves important problems for other people. Sovrn is a Software and Data business that helps Open Web businesses be and remain independent. We help them understand their business better, operate more efficiently, and make & keep more money. - We believe in the freedom and free-flow of information. - We believe the Open Web is the largest source of this information. - We believe in helping Open Web businesses be and remain Independent. Through Software products and Data solutions we help our customers: - Understand their business better, so they can make better decisions - Operate their business more efficiently, so they can invest in what matters most - Make (and Keep) more money, so they control their own destiny About the Role The Senior AI/ML Data Scientist at Sovrn is a strategic technical leader who drives high-impact data initiatives across the organization. This role requires a unique blend of strategic vision ("the art of the possible") and tactical execution ("think and execute tactically"). You will solve ambiguous problems to deliver measurable business value and influence the future of data science in AdTech. You will guide architecture, experimentation, and product design while ensuring scientific and technical rigor. This position requires technical excellence, business acumen, and leadership. What you’ll be doing: - Operate at the frontier of applied AI as a hands-on practitioner — personally exploring, prototyping, evaluating, and deploying cutting-edge Agentic AI technologies to bring new, grounded insight into product, modeling, and optimization decisions. - Design, implement, and deploy advanced predictive models, algorithms, and experiments that drive core business outcomes, specifically optimizing ad performance, user engagement, and monetization strategies. - Analyze large-scale datasets to identify patterns, trends, and optimization opportunities, while maintaining and improving data pipelines and experimentation frameworks to support ongoing research. - Define and evangelize best practices in modeling, testing, measurement, and data governance, ensuring scientific rigor while balancing practical business constraints and timelines. - Collaborate cross-functionally to identify high-leverage AI/ML opportunities, translate them into actionable roadmaps, and deliver measurable outcomes. - Mentor other data scientists through code review, experiment design, and technical feedback and model what it looks like to stay current with fast-moving AI research in a production-focused environment. - Translate complex data problems into strategic decisions through compelling storytelling and clear communication of findings and recommendations to both technical and non-technical stakeholders. A successful candidate will have: - Proven ability to deploy autonomous agents to production including optimizing inference performance, managing latency/cost tradeoffs, and ensuring robust model evaluation at each stage. - Demonstrates prompt engineering discipline by systematically evaluating prompts across model families using quantitative evaluation. - Active use of AI tools in daily technical work — integrates coding assistants, orchestration frameworks, and search-augmented workflows in ways that accelerate prototyping and reduce iteration cycles. - Experience in data science and applied machine learning, with a strong record of delivering business impact. - Deep technical proficiency across classical ML (supervised/unsupervised), reinforcement learning, and deep learning, with a strong foundation in statistical modeling, A/B testing, and causal inference. - Proficiency with Python, SQL, cloud-based data ecosystems, modern AI/ML frameworks (e.g., Pandas, Scikit-Learn, PyTorch/TensorFlow, LangChain, Hugging Face, PydanticAI), experience with large-scale datasets and distributed computing frameworks (e.g., Spark, PySpark), and Databricks running on AWS Cloud. - Strong understanding of ad tech ecosystems (e.g., RTB, DSP/SSP workflows, auctions, and yield optimization) is a big plus. - Demonstrated ability to influence across technical and non-technical audiences, lead cross-functional initiatives, and work in a collaborative, agile environment (Scrum and Kanban). - A strategic mindset with strong product intuition and experience working at scale. Location: This position is based in our Boulder, Colorado office. For exceptional candidates we would consider remote locations. Applicants need to be able to commute/travel to our Boulder location. We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we're looking for. Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking Compensation and Benefits The base salary for this position in Boulder, Colorado is $165,000 to $195,000 annually. In addition to salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate's direct experience, skills, knowledge, and location. Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program. Job Posting Applications will be accepted until May 30, 2026. Equal Opportunity Employer Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. Reasonable accommodations will be made to meet the requirements of the Americans with Disabilities Act and will be provided as requested by candidates taking part in all aspects of the selection process. Recruitment Agencies Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.