Company Overview Established in 2008, Zicasso is the most-reviewed and highest-rated luxury travel company, specializing in immersive custom tours, vacations, and safaris. Our Zicasso travel specialists are the world’s top 2% of boutique tour operators and travel agents, pre-vetted and handpicked to compete in creating itineraries tailored to each of our travelers’ unique preferences. Joining Zicasso, you'll play a key role in bringing our travelers’ dreams to life—pushing the boundaries of what’s possible with luxury travel experiences. As a member of our team, you’ll be part of a company recognized for its strong brand reputation among discerning travelers. Our authority in the luxury travel industry is consistently affirmed through features in top media outlets, including The New York Times, The Wall Street Journal, BBC, Forbes, CNN, and Condé Nast Traveler, to name a few. See our press coverage here. We are a fully remote company spanning five continents, and we foster a dynamic, progressive global work environment that values creativity, initiative, and continuous learning. We're seeking passionate, data-driven individuals who thrive in a high-performance environment and are eager to contribute to our innovative company culture, underpinned by a consistent pursuit of excellence, integrity, and teamwork. Our global team comes together biannually for international retreats and summits. These are typically held for a week at a new location each time, providing opportunities to share ideas, collaborate in person, and strengthen our culture, all while learning firsthand about the destinations we serve. These events embody our commitment to both professional growth and the transformative power of travel. Join us in shaping the future of luxury travel while working towards our vision—creating a more connected humanity through travel. To learn more, visit https://www.zicasso.com/careers. The Role As a Data Scientist at Zicasso, you will have the opportunity to leverage your expertise in data analysis and modeling to extract valuable insights that will drive the company's strategic decision-making. You will work closely with cross-functional teams to develop and implement data-driven solutions that improve operations, enhance customer experiences, and optimize business performance. This is an international, fully-remote, freelance contractor position, working from home, at a location outside of the United States. We are particularly seeking candidates who are based in Latin America. There is flexibility in your work hours but we expect that you will generally maximize your overlap with California hours (eg. until 3pm Pacific Time Zone). The work will all be conducted in English. Key Responsibilities - Lead the analysis of large, complex datasets to uncover strategic insights that drive product innovation and business growth. - Lead the design, development, validation, and refinement of advanced predictive models and AI-driven solutions—including machine learning and natural language processing (NLP) techniques—to optimize every step of the customer journeys, improve demand/supply forecasting, deliver personalized recommendations, and achieve high customer satisfaction. - Collaborate cross-functionally with product, marketing, and customer experience teams to identify data-driven opportunities for conversion optimization, retention, and engagement improvements. - Design, implement, and interpret A/B tests and multi-variant experiments to evaluate and optimize product and operational initiatives. - Develop and maintain dashboards and automated reporting tools to support data-driven decision-making, partnering with data engineering on scalable data infrastructure. - Collaborate closely with data engineering teams to ensure data quality and consistency for accurate analysis and modeling. - Communicate complex technical insights effectively to both technical teams and executive stakeholders. - Provide training on utilizing data analysis and reports and foster the growth of a data-centric culture across the organization. Required Experience - Minimum 5 years of professional experience as a Data Scientist or related role in fast-moving, data-intensive environments. - Hands-on expertise in AI, machine learning, and natural language processing (NLP) techniques, including model development, tuning, and validation. - Strong proficiency in Python or R, with demonstrated experience implementing ML pipelines and frameworks. - Advanced SQL skills, with experience working on large-scale, relational and/or distributed datasets. - Experience with data visualization tools such as Tableau, Power BI, or similar platforms. - Strong problem-solving skills, with ability to translate ambiguous business challenges into actionable analytics projects. - Effective collaborator with experience working independently in remote team environments. Qualifications - Master’s degree or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, Data Science, or related quantitative discipline. - Deep understanding of statistical modeling, machine learning algorithms, AI frameworks, and experimental design. - Proven ability to communicate complex quantitative insights clearly to both technical and non-technical stakeholders. - Passion for leveraging data, AI, and ML to create exceptional customer experiences and measurable business impact. - Proven experience mentoring and leading project teams preferred. What We Offer - Remote work from your home base and flexible hours that allow you to enjoy a great work-life balance. - Innovative, fast-paced and collaborative culture that values diverse voices and opinions. - Learning and development annual budget. - Two company-sponsored business trips each year at international destinations we serve! All applications should be submitted in English.

Company Overview Established in 2008, Zicasso is the most-reviewed and highest-rated luxury travel company, specializing in immersive custom tours, vacations, and safaris. Our Zicasso travel specialists are the world’s top 2% of boutique tour operators and travel agents, pre-vetted and handpicked to compete in creating itineraries tailored to each of our travelers’ unique preferences. Joining Zicasso, you'll play a key role in bringing our travelers’ dreams to life—pushing the boundaries of what’s possible with luxury travel experiences. As a member of our team, you’ll be part of a company recognized for its strong brand reputation among discerning travelers. Our authority in the luxury travel industry is consistently affirmed through features in top media outlets, including The New York Times, The Wall Street Journal, BBC, Forbes, CNN, and Condé Nast Traveler, to name a few. See our press coverage here. We are a fully remote company spanning five continents, and we foster a dynamic, progressive global work environment that values creativity, initiative, and continuous learning. We're seeking passionate, data-driven individuals who thrive in a high-performance environment and are eager to contribute to our innovative company culture, underpinned by a consistent pursuit of excellence, integrity, and teamwork. Our global team comes together biannually for international retreats and summits. These are typically held for a week at a new location each time, providing opportunities to share ideas, collaborate in person, and strengthen our culture, all while learning firsthand about the destinations we serve. These events embody our commitment to both professional growth and the transformative power of travel. Join us in shaping the future of luxury travel while working towards our vision—creating a more connected humanity through travel. To learn more, visit https://www.zicasso.com/careers. The Role As a Data Scientist at Zicasso, you will have the opportunity to leverage your expertise in data analysis and modeling to extract valuable insights that will drive the company's strategic decision-making. You will work closely with cross-functional teams to develop and implement data-driven solutions that improve operations, enhance customer experiences, and optimize business performance. This is an international, fully-remote, freelance contractor position, working from home, at a location outside of the United States. We are particularly seeking candidates who are based in Latin America. There is flexibility in your work hours but we expect that you will generally maximize your overlap with California hours (eg. until 3pm Pacific Time Zone). The work will all be conducted in English. Key Responsibilities - Lead the analysis of large, complex datasets to uncover strategic insights that drive product innovation and business growth. - Lead the design, development, validation, and refinement of advanced predictive models and AI-driven solutions—including machine learning and natural language processing (NLP) techniques—to optimize every step of the customer journeys, improve demand/supply forecasting, deliver personalized recommendations, and achieve high customer satisfaction. - Collaborate cross-functionally with product, marketing, and customer experience teams to identify data-driven opportunities for conversion optimization, retention, and engagement improvements. - Design, implement, and interpret A/B tests and multi-variant experiments to evaluate and optimize product and operational initiatives. - Develop and maintain dashboards and automated reporting tools to support data-driven decision-making, partnering with data engineering on scalable data infrastructure. - Collaborate closely with data engineering teams to ensure data quality and consistency for accurate analysis and modeling. - Communicate complex technical insights effectively to both technical teams and executive stakeholders. - Provide training on utilizing data analysis and reports and foster the growth of a data-centric culture across the organization. Required Experience - Minimum 5 years of professional experience as a Data Scientist or related role in fast-moving, data-intensive environments. - Hands-on expertise in AI, machine learning, and natural language processing (NLP) techniques, including model development, tuning, and validation. - Strong proficiency in Python or R, with demonstrated experience implementing ML pipelines and frameworks. - Advanced SQL skills, with experience working on large-scale, relational and/or distributed datasets. - Experience with data visualization tools such as Tableau, Power BI, or similar platforms. - Strong problem-solving skills, with ability to translate ambiguous business challenges into actionable analytics projects. - Effective collaborator with experience working independently in remote team environments. Qualifications - Master’s degree or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, Data Science, or related quantitative discipline. - Deep understanding of statistical modeling, machine learning algorithms, AI frameworks, and experimental design. - Proven ability to communicate complex quantitative insights clearly to both technical and non-technical stakeholders. - Passion for leveraging data, AI, and ML to create exceptional customer experiences and measurable business impact. - Proven experience mentoring and leading project teams preferred. What We Offer - Remote work from your home base and flexible hours that allow you to enjoy a great work-life balance. - Innovative, fast-paced and collaborative culture that values diverse voices and opinions. - Learning and development annual budget. - Two company-sponsored business trips each year at international destinations we serve! All applications should be submitted in English.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Data Science Engineer, you'll join a high-impact team solving some of the most complex analytical challenges in sports and entertainment. You'll work closely with machine learning engineers to develop new product capabilities and uncover insights from massive datasets using our advanced infrastructure. In this role, you'll apply advanced analytics and machine learning to create innovative solutions that drive business outcomes and shape the future of our products. What You'll Do: - Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment. - Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Casino product engagement. - Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems. - Mentor junior data scientists and share modeling and engineering best practices across the team. - Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy. What You'll Bring: - Bachelor's degree or advanced degree in Data Science, Computer Science, Statistics, or related discipline - Proven experience applying machine learning and statistical modeling to solve real-world business problems, ideally in marketing or customer lifecycle contexts. - Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms. - Ability to independently structure and execute data science projects and deliver business value through production-ready models. - Excellent communication and collaboration skills to work effectively across technical and non-technical teams. #LI-EN1 Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.

ROLE SUMMARY Everything we do, every day, is in line with an unwavering commitment to the quality and the delivery of safe and effective products to patients. Our science and risk-based compliant quality culture is innovative and customer oriented. Whether you are involved in manufacturing, testing, or compliance, your contribution will directly impact patients. All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues can grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and can impact the health and lives of millions of people. Pfizer, a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives. Pfizer is advancing in Neuroscience, and an integral part of the Migraine Team's mission is to promote a breakthrough therapy for patients suffering from migraine. The Neuroscience Health & Science Professional (HSP) is responsible for increasing territory sales and relationship development with assigned customers and accounts by engaging in product promotion and determining the best strategies to manage their business. The HSP should possess customer, market, and business acumen, analytical skills, and strong product and disease state knowledge; demonstrate ability to drive sales, promotional and strategic business development and management skills, and in-depth customer engagement expertise both in-person and virtually; demonstrate outstanding communication and teamwork skills; be adept in the operation of digital and virtual tools; and be effective at working remotely in collaboration with cross-functional internal teams to address customer needs and compliantly deliver on Pfizer business objectives. ROLE RESPONSIBILITIES • Drives sales in assigned territory. • Engages with customers both face to face and virtually. • Develops and implements effective business and territory call plans; effectively identifies and implements live/virtual engagement strategies with customer to maximize overall effectiveness and impact. • Effectively builds rapport and relationships with customers in both live and virtual environments; uses judgment to maintain customer engagement by successfully utilizing existing and ever-changing digital tools effectively for successful customer engagement. • Understands and leverages internal reports and analytics to assist with identifying, developing, and implementing strategic business opportunities. • Compliantly leverages product and disease state knowledge to appropriately educate providers on unbranded and branded product value proposition for relevant patient populations and effectively and strategically utilizes approved clinically oriented disease state information and patient resources, as applicable. • Demonstrates strong teamwork capabilities to collaborate effectively and compliantly across the organization to address customer inquiries and advance Pfizer objectives. • Completes all administrative expectations on time and compliantly. BASIC QUALIFICATIONS • Bachelor's Degree. • Minimum 2 years of experience in one or more of the following OR an associate's degree with 6+ years of experience; OR high school diploma (or equivalent) with 8+ years of relevant experience: - Professional Sales or Promotional Activity. - Small Business Owner or other Entrepreneurial experience, Marketing, Customer Service and/or Account Management. - Relevant Healthcare/Scientific roles (e.g., RN, Pharmacist, PT, OT, etc.). - Educator (e.g., Teacher, Principal). - Full Time Military experience. - Must live within 25 miles of the border of the territory. - Valid US driver's license and driving record in compliance with company standards. Any DUI/DWI or other impaired driving citation within the past 7 years will disqualify you from being hired. PREFERRED QUALIFICATIONS • At least 1 year of pharmaceutical, biotech, medical sales and/or medical related marketing. • Strong track record of sales or marketing success, strong territory management skills, outstanding communications skills, as well as demonstrated teamwork, leadership ability and accountability. • Experience with applicable disease states, therapeutic area, and products. • Knowledge of posted territory customers and markets (prescribers/HCPs/institutions/organizations). • Reside within the territory boundaries. OTHER JOB DETAILS - Last Date to Apply: April 28, 2026 - Geography includes: Middletown, Westchester, Bighamton The annual base salary for this position ranges from $76,000 - $199,600. During initial new hire sales training, you will be classified as a salary non-exempt employee which entitles you to overtime pay. Upon your training certification, you will become an overtime exempt employee. In addition, this position offers an additional quarterly Sales Incentive bonus. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits| (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Sales