WHO ARE WE? Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase. The company is headquartered in vibrant downtown Delray Beach, Florida, with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners. YOUR ROLE This role will heavily focus on building machine learning models. This is NOT an engineering/data engineering position. BASE SALARY: $110,000 to $160,000 per year, paid bi-monthly MUST HAVE: Experience within the performance marketing/lead gen industries. Professional experience designing, implementing, optimizing, and testing end-to-end Multi-Armed Bandit (MAB) and recommendation systems. EXPERIENCE: At least 4 years experience in a hands-on, in-the-weeds data science position. You will develop deep personalization models for our users and complex optimization algorithms to bridge our customer experiences with new products/services. Your direct contribution will impact how we connect hundreds of thousands of customers to hundreds of advertisers together daily and will drive significant consumer impact while increasing revenue. You will play a pivotal role in the growth of our data science team. You will be an instrumental resource as we build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners. This is an extremely hands-on and in-the-weeds Data Science role where you will be heavily immersed in the data and coding part of the solution implementation. You will design and oversee integrating state-of-the-art machine learning solutions across the company's products. This role will be responsible for strategically planning Machine Learning initiatives with the Product, Engineering, Performance, and Business Intelligence teams, analyzing potential impact, and prioritizing those projects. SUCCESS LOOKS LIKE <ul> <li>Innovate, create, and design ML solutions to various business problems such as: </li><li>Design, implement, and continuously improve Multi-Armed Bandit solutions to optimize decisions/options in place of multiple AB tests. </li><li>Utilizing Large Language Models in content personalization across various verticals. </li><li>Recommendation systems to serve ads, offers, questions, etc. </li><li>Collaborate with stakeholders across the company including but not limited to Analytics, Engineering, Product and Business Leads to improve model infrastructure, tracking and monitoring. </li><li>Provide data science support at different project stages, including implementing ML solutions by collaborating with Data Engineers and MLOps. </li><li>Being hands-on and in-the-weeds in the data, coding part of the solution implementation. </li></ul>WHAT YOU NEED TO SUCCEED <ul> <li>4+ years of related work experience in Data Science & Machine learning. </li><li>2+ years of experience in the Marketing/Advertising Industry. </li><li>Solid background in Machine Learning and Statistics. </li><li>Professional experience designing and implementing Multi-Armed Bandit (MAB) solutions and recommendation systems. </li><li>Proficiency in SQL and Python, as well as working with data science tools (e.g., git, Kubernetes, Docker, etc.). </li><li>Structure and clarify any ambiguity for the team, i.e., divide complex projects into sprints and coordinate implementation across multiple teams and individuals. </li><li>Experience creating ML solutions within cloud services (AWS/GCP). </li><li>Experience with ML model development lifecycle. </li><li>Experience with data visualization (preferably Looker). </li><li>Experience managing a team of data scientists and machine learning researchers (including career development). </li><li>Ability to communicate clearly, think independently, provide direction, and effectively communicate with technical and non-technical stakeholders. </li></ul>NICE TO HAVES <ul> <li>Experience with LLMs and Deep learning models to develop business and data science solutions directly impacting revenue and/or margin. </li></ul> Total Rewards & Compensation Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. Want to make your impact in a profitable, high-growth company? Apply now! Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$76,128 - $124,800 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 Intelligence

Job Description:

Department Overview:

We are seeking a skilled Data Scientist in our Financial Crime Risk Modeling & Advanced Analytics team. In this role, you will be responsible for financial crime risk model validation and monitoring.

Job Description:

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.

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:

Hands-on experience in modeling, model validation, or advanced data analytics with strong coding skills in Python and SQL.

Knowledge of the AML domain is a plus, along with experience in SAS coding and Transaction Monitoring

In lieu of an Undergraduate degree and 3+ years of relevant experience, we will consider a Graduate's Degree and 1+ years of relevant experience

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

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 (http://hrportal.ehr.com/tdtotalrewards)

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.

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

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 . 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.

Department Overview:We are seeking a skilled Data Scientist in our Financial Crime Risk Modeling & Advanced Analytics team. In this role, you will be responsible for financial crime risk model validation and monitoring. Job Description:The Data Scien Data Scientist, Scientist, Data Science, Data Engineer, Monitoring, Business Analyst, Technology, Banking

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