Title: Director, Data Science Locations: Wilmington South Jordan Woodbury (Long Island) time type Full time job requisition id JR101063 Become an everyday champion — and build a career where your impact fuels financial progress. What We Do CardWorks Financial Group is a diversified financial services platform building ethical solutions across credit, lending, and the full customer lifecycle. Through our family of companies, CardWorks Financial Group tackles the complex challenges that larger financial institutions leave behind. We’re embedded throughout the credit card ecosystem as a lender, servicer, and merchant acquirer. Who We Are - Merrick Bank: The bank that builds - CardWorks Servicing: One partner, total performance - Carson Smithfield: Resolution with respect With nearly 40 years of operating history, our track record is solid: disciplined in downturns and built to accelerate in recovery. The CardWorks Financial Group companies take precise approach in complex markets, as a top three non-prime focused general purpose card issuer and a top fifteen U.S. merchant acquirer. Our team tackles the industry’s most complex credit and payment challenges. And we believe that excellent work starts with a team that feels supported, respected, and empowered to grow. CardWorks Servicing, LLC provides end-to end operational servicing functions for credit cards, secured cards, and installment loans.  We service consumer and small business loans across the credit spectrum and offers backup servicing and due diligence services to capital providers and trustees. Founded in 1997, Merrick Bank is an FDIC®-insured financial institution headquartered in South Jordan, Utah, with over $10 billion in assets. A wholly owned subsidiary of CardWorks Financial Group, Merrick Bank serves roughly five million cardmembers and more than 100,000 merchant customers, offering credit cards, recreational loans, deposit accounts, merchant services and bank sponsorships to consumers and businesses. Carson Smithfield, LLC provides a variety of post-charge-off debt recovery services, including digital self-service, IVR, live agent, and external agency management. Position Summary and Role Impact: The Director, Data Science – Competitive Intelligence, AI Insights & Strategic Analytics is a highly visible leadership role responsible for transforming internal, external, structured, and unstructured data into actionable business intelligence, competitive insights, and strategic recommendations. Sitting at the intersection of analytics, risk, strategy, technology, and market intelligence, this role leads the development of enterprise reporting, competitor benchmarking, AI-driven intelligence solutions, and executive decision support capabilities across CardWorks Financial Group. This position combines advanced analytics, machine learning, Generative AI, competitive intelligence, and industry research to identify growth opportunities, anticipate market movements, evaluate competitor performance, monitor emerging risks, and support strategic decision-making. The role serves as a trusted advisor to executive leadership, business unit leaders, risk management, regulators, auditors, and board stakeholders by delivering data-driven insights that influence business strategy, portfolio performance, and market positioning. The successful candidate will champion an AI-first and market-first mindset, leveraging machine learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI-powered automation to accelerate intelligence gathering, uncover hidden opportunities, and create sustainable competitive advantage. This leader will also drive the build-out of enterprise analytics capabilities, including KPI reporting, portfolio performance measurement, market intelligence platforms, competitor monitoring solutions, and executive AI copilots. Essential Functions: - Lead the development and delivery of enterprise reporting, executive dashboards, KPI scorecards, portfolio analytics, competitor benchmarking, and strategic business insights. - Conduct in-depth analysis of industry trends, competitive dynamics, emerging technologies, market opportunities, and regulatory developments affecting the consumer lending, credit card, banking, payments, and fintech industries. - Apply advanced statistical techniques, machine learning models, and predictive analytics to identify patterns, forecast market changes, and support strategic business decisions. - Design and implement AI-powered market intelligence and competitive research solutions that automate the collection, synthesis, and interpretation of market data. - Utilize Large Language Models (LLMs) to analyze and summarize earnings calls, SEC filings, analyst reports, press releases, industry publications, and competitor disclosures. - Develop Retrieval-Augmented Generation (RAG) solutions and AI agents that enable continuous monitoring of competitor activity, customer trends, market signals, and regulatory developments. - Build executive AI copilots that support strategic planning, competitive analysis, and business decision-making. - Integrate external market, economic, customer, and industry datasets with internal business performance data to generate comprehensive insights. - Analyze portfolio performance across lending products, identifying opportunities related to growth, profitability, customer behavior, risk management, and operational efficiency. - Partner with business, product, marketing, digital, risk, technology, and finance leaders to translate analytical findings into actionable business recommendations. - Support board presentations, regulatory requests, audit reviews, second-line risk reviews, and executive strategic initiatives through rigorous analysis and communication. - Prepare audit-ready analyses and documentation to support regulatory, compliance, and governance requirements. - Present complex analytical findings and strategic recommendations to executive leadership in a clear, concise, and compelling manner. - Foster a culture of innovation, analytics excellence, data-driven decision-making, and AI adoption across the organization. Requirements for Success: Education & Experience: - Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Data Science, Business Analytics, Financial Engineering, or related quantitative discipline required; Master's degree preferred. - 5+ years of experience in Business Analytics, Data Science, Competitive Intelligence, Market Research, Strategy Analytics, Risk Analytics, or related analytical roles. - Experience within Financial Services, Consumer Lending, Credit Cards, Banking, Payments, or FinTech industries required. - Strong understanding of lending economics, including interest income, interchange, fees, charge-offs, delinquency, portfolio performance, and risk management frameworks. - Proven experience applying machine learning, artificial intelligence, and advanced analytics to solve business problems and generate strategic insights. - Experience working with Generative AI, LLMs, RAG architectures, AI agents, and market intelligence automation solutions preferred. - Strong proficiency in SQL, Python, Snowflake, AWS, and modern analytics platforms. - Experience with Power BI, PowerPoint, SAS, R, or similar analytical and visualization tools preferred. - Demonstrated ability to communicate complex technical findings and strategic recommendations to executive leadership, regulators, auditors, and non-technical stakeholders. - Highly analytical self-starter with the ability to manage multiple priorities and deliver results in a fast-paced, highly regulated environment. Leadership Competencies - AI-first and market-first mindset. - Strategic thinker with strong business acumen. - Executive presence and storytelling capability. - Strong stakeholder management and influencing skills. - Curiosity-driven approach to problem solving and innovation. - Ability to challenge assumptions with data and evidence. - Commitment to driving measurable business outcomes through analytics and intelligence. Ideally, the qualified candidate will work at the following location(s): South Jordan, UT, Woodbury, NY, Wilmington, DE. A hybrid work model or fully remote model can be considered based on hiring manager decision and priorities of the role. The salary range for this position, if located in NY Metro/NY State is $146,409 to $162,676. However, please note that the salary range will vary for other geographic areas. #INDHP Our Employee Value Proposition - Competitive Pay, including a Bonus Target or Variable Pay Incentive Program - Benefits Package -Medical, Dental, and Vision (plus much more) - 401(k) Plan with Company Match - Short- & Long-Term Disability - Wellness Programs - Group Life and AD&D Insurance - Paid Vacation, Sick Days and bank Holidays - Employee Engagement Activities including Employee Appreciation Day, DEI Employee Resource Groups, Corporate Social Responsibility, Service Recognition We offer a total rewards package comprised of a competitive base rate of pay, variable pay incentive programs based on the role, and a comprehensive benefit suite.  Offered rates of pay are determined based on job-related knowledge, relevant experience, skills, certifications, and geographic location. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to age, race, color, sex, or gender identity/expression (including pregnancy, childbirth, transgender status, or sexual orientation), religion or creed, ancestry, citizenship, national origin, disability, military or veteran status, marital status, genetic information, or any other characteristic protected by applicable law. We do not tolerate discrimination, harassment, or retaliation. Employment decisions are based solely on qualifications, merit, and business needs. Everyone is welcome here, and we hire based on your ability to do the job, not any protected characteristics.

Title: Senior Data Scientist - Demand Forecasting Location: Marlborough, MA, Morristown, NJ Full time job requisition id R0005967 Join our Global Supply Chain team at Helen of Troy and make an immediate impact on our trusted brands: OXO, Hydro Flask, Osprey, Honeywell, PUR, Braun, Vicks, Hot Tools, Drybar, Curlsmith, Revlon, and Olive & June. Together, we build innovative and useful products that elevate people's lives everywhere every day. Look around your home, and you'll find us everywhere, in your kitchen, living room, bedroom, and bathroom. We are already making your everyday lives better. We are powered by knowledgeable, enthusiastic, and forward-thinking people committed to developing a culture of inclusion. Whether you are just starting your career or in need of a challenge, we recognize, develop, and empower talent! Position: Sr. Data Scientist – Demand Forecasting (O9 Platform) Department: Global Supply Chain/COE Work Location: - Marlborough, MA - Morristown, NJ Hybrid Schedule: At Helen of Troy, we embrace a flexible hybrid work model designed to support collaboration and productivity. For roles eligible for hybrid work, our standard schedule includes in-office collaboration from Tuesday through Thursday, with the option to work remotely on Mondays and Fridays. Any updates to this model will be communicated in advance. Please note that hybrid eligibility and schedules may vary based on business needs and manager expectations. What you will be doing: We are looking for a Sr. Data Scientist to design and implement advanced analytics and machine learning solutions to solve real-world business problems, particularly in supply chain and planning. You will work closely with cross-functional teams to build scalable models and deliver impactful insights. - Apply machine learning techniques such as clustering, regression, ensemble learning, neural networks, and time series modeling to business problems - Develop and optimize models for demand forecasting, anomaly detection, optimization (heuristics, linear programming, genetic algorithms), and simulation - Leverage the latest AI/ML advancements to drive business value - Analyze complex problems, evaluate alternative approaches, and clearly communicate results with assumptions - Work with business metrics such as Forecast Accuracy, Bias, and MAPE, and create new metrics as needed - Build and optimize modules for real-time integration with external systems via web services - Collaborate with clients, project managers, architects, consultants, and data engineers to ensure successful project delivery Skills needed to be successful in this role: - Strong communication and presentation skills - Ability to work collaboratively in cross-functional teams - Transparent and proactive communication style Minimum Qualifications: - Bachelor’s degree in computer science, Mathematics, Statistics, Engineering, Economics, or related field - 4+ years in data science or analytics, with hands-on experience in time series forecasting at scale - Strong experience with forecasting methods such as exponential smoothing, ARIMA, Prophet, and custom model tuning - Experience in supply chain analytics (demand planning, supply planning, inventory optimization, pricing, market intelligence) - Solid proficiency and demonstrated experience with Python and/or R - Strong understanding of statistical modeling, machine learning algorithms, feature engineering, and model optimization - Experience building scalable ML frameworks and working with large datasets - Ability to travel domestically/internationally (up to 5%). - Ability to attend early morning and evening calls as required. - Authorized to work full time in the United States. Preferred Qualification: - Experience in retail, CPG or manufacturing. In Massachusetts, the standard base pay range for this role is $103,000.00 -$130,000.00 annually. This base pay range is specific to Massachusetts and may not be applicable to other locations. Actual salaries will vary based on several factors, including but not limited to location, experience, skill level, and performance. The range listed is just one component of the total compensation package for employees. Benefits: Salary + Bonus, Healthcare, Dental, Vision, Paid Holidays, Paid Parental Leave, 401(k) with company match, Basic Life Insurance, Short Term Disability (STD), Long Term Disability (LTD), Paid Time Off (PTO), Paid Charitable (volunteer) Leave, and Educational Assistance. #li-ab1 #LI-HYBRID Helen of Troy is an Equal Opportunity/Affirmative Action Employer. We are committed to developing a diverse workforce and cultivating an inclusive environment. We value diversity and believe that we are strengthened by the differences in our experiences, thoughts, cultures, and backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Founded in 1968, Helen of Troy is a prominent player in the global consumer products industry, offering diverse career opportunities across North America, South America, Europe, and Asia. We boast a collection of renowned brands such as OXO, Hydro Flask, Osprey, Honeywell, PUR, Braun, Vicks, Hot Tools, Drybar, Curlsmith, Revlon, and Olive & June – many of which rank #1, #2, or #3 in their respective categories, making the Helen of Troy name synonymous with excellence and ingenuity. At Helen of Troy, our strategy involves acquiring brands that we can integrate and enhance, amplifying their unique attributes to drive growth and profitability. Embracing a culture of collaboration internally and externally, we are committed to providing innovative solutions tailored to consumers, operational excellence, global scalability, and exceptional shared services to support our brand portfolio. This dedication to fostering development and success sets Helen of Troy apart as a pioneer in the industry, propelling our brands to unparalleled heights of success and recognition worldwide. The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities and duties required of personnel so classified. Management retains the right to add or to change duties of the position at any time.

• Owns visibility into all key business operations. • Builds the single source of truth and dashboards leadership relies on. • Runs the analysis that tells where patients are dropping off. • Turns analysis into experiments and fixes that improve metrics. • Light project management particularly supporting Quarterly Planning and Execution.

Role Description As a Senior Data Scientist (m/f/d), you will work on exciting projects that deliver first-class solutions powered by modern language models. You will have full command of the technical stack necessary for development and deployment, collaborate closely with stakeholders, and play a key role in shaping the company’s data science strategy. - Shape and implement the company’s data science strategy and drive innovation, with a primary focus on Generative AI and Agentic workflows - Identify opportunities to leverage data for business value and impact - Take ownership of the full technical stack for development and deployment - Design, build, and maintain scalable machine learning models and efficient data pipelines - Ensure robust data management and engineering practices - Collaborate with cross-functional teams to gather requirements and deliver insights - Communicate complex technical concepts clearly to both technical and non-technical stakeholders Qualifications - Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related field or equivalent knowledge and experience - Hands-On experience with Generative AI and Agentic Workflows - Proven experience in taking part in complex projects - Expertise in modern language models and machine learning frameworks - Experience with modern LLM-Supporting Frameworks and Tools - Proficiency in modern LLM Prompting techniques and approaches - Experience with managing feedback training pipelines and fine-tuning - Strong command of programming languages such as Python, R or any strongly-typed computer language - Good knowledge of cloud platforms (AWS, GCP, Azure) and deployment processes Requirements - Familiarity with big data technologies like Spark or Hadoop or any other commercial Data Warehouse and/or Data Lake technologies - Strong background in data architecture and database management - Extensive experience with data management and engineering tools Benefits - Your Workplace: You work fully remote and flexibly from anywhere within Germany. We focus on results—not on where your desk is located. - Teamwork: Our culture is clear, direct, and appreciative. You will be part of a supportive team with flat hierarchies that grows together, even in a remote setting. - Structured Onboarding & Buddy: We won’t leave you hanging, even from afar. Your personal Buddy and our structured onboarding process ensure you find your feet quickly and start your journey well-connected. - Flexible Working Hours: You design your own schedule so that you can be productive while maintaining an optimal work-life balance. - Modern Equipment: You will receive a company laptop and modern technical equipment to ensure your home setup is just as efficient. - Mobility & Sports: Take advantage of Lease a Bike and Eversports to stay fit wherever you work. You’ll also have the chance to participate in our annual team-wide sporting events. - Company Events: Our company and team events take place in Vienna. Remote colleagues are, of course, warmly invited to join us! - The minimum salary for this position is € 65.000,- overpayment possible depending on qualifications