About nexawork – A Global Leader in Experiential Retail
nexawork is a world‑renowned brand that has redefined the way people experience everyday moments. While celebrated for its premium beverages, nexawork is equally known for fostering a culture of community, innovation, and sustainability. With a presence in more than 30 countries and a commitment to creating inclusive, purpose‑driven workplaces, nexawork empowers its employees to turn curiosity into actionable insights that shape the future of the business.
Our data‑driven mindset fuels every decision—from product development to digital experiences—making nexawork a fertile ground for analytical talent. As a Senior Data Scientist in the Customer Testing Analytics team, you will join a high‑impact, cross‑functional group that translates complex data into strategic recommendations, directly influencing the experiences of millions of customers worldwide.
Why This Role Is a Game‑Changer
In today’s fast‑moving market, the ability to design, execute, and interpret large‑scale experiments is a competitive advantage. nexawork’s Customer Testing Analytics team sits at the heart of that advantage, partnering with product, engineering, marketing, and operations to uncover causal drivers of business performance. This remote, full‑time position offers you the flexibility to work from anywhere while collaborating with a diverse, global network of experts.
Key Responsibilities
- Design and implement end‑to‑end experiments—from hypothesis generation and experimental design to data collection, analysis, and reporting.
- Develop and maintain robust statistical models for A/B testing, causal inference, and uplift modeling that guide product and marketing decisions.
- Extract, transform, and load (ETL) large‑scale datasets from multiple sources, including clickstream, transactional, and third‑party platforms, ensuring data integrity and reproducibility.
- Collaborate with cross‑functional partners—engineers, product managers, marketers, and senior leadership—to translate analytical findings into actionable business strategies.
- Communicate insights through compelling storytelling, using data visualizations, dashboards, and executive‑level presentations to influence stakeholders at all levels.
- Lead best‑practice initiatives for experimental design, statistical rigor, and data governance across the organization.
- Mentor junior analysts and data scientists, fostering a culture of continuous learning and curiosity.
- Stay ahead of industry trends in experimentation platforms, statistical methods, and machine‑learning techniques, recommending tools that enhance nexawork’s analytical capabilities.
Essential Qualifications
- Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. Advanced degrees are a plus.
- Experience: Minimum 3 years of hands‑on experience in data analysis, experimental design, or a related data‑science role.
- Technical Skills:
- Proficiency in SQL for data extraction and manipulation.
- Advanced programming expertise in Python or R, with a strong command of libraries such as pandas, dplyr, scikit‑learn, and tidyverse.
- Experience with big‑data processing frameworks (e.g., PySpark, SparkR, Scala, or Java) to handle high‑volume datasets.
- Solid understanding of statistical testing, power analysis, hypothesis testing, and confidence interval interpretation.
- Analytical Acumen: Demonstrated ability to translate raw data into clear, actionable insights that drive business outcomes.
- Communication Skills: Exceptional written and verbal communication, with the ability to present complex concepts to non‑technical audiences.
- Collaboration: Proven track record of working effectively in cross‑functional teams and influencing senior stakeholders.
Preferred Qualifications & Additional Expertise
- Master’s or Ph.D. in a quantitative discipline.
- Hands‑on experience with experimentation platforms such as Google Optimize, Optimizely, Apptimize, or similar tools.
- Familiarity with event‑level data tagging for web and mobile applications using tools like Google Analytics, mParticle, or Segment.
- Experience building interactive visualizations with ggplot2, seaborn, matplotlib, or Plotly.
- Knowledge of causal inference techniques (e.g., propensity score matching, instrumental variables, regression discontinuity).
- Exposure to machine‑learning pipelines for predictive modeling and recommendation systems.
Core Skills & Competencies
- Statistical Rigor: Mastery of experimental design, A/B testing, and inferential statistics.
- Data Engineering: Ability to work with large, heterogeneous data sources and ensure data quality.
- Programming Fluency: Clean, reproducible code in Python or R, with version control (Git) best practices.
- Visualization & Storytelling: Crafting dashboards and visual narratives that resonate with business leaders.
- Problem‑Solving Mindset: Curiosity‑driven approach to uncover hidden patterns and business levers.
- Leadership & Mentorship: Guiding junior talent and championing analytical best practices across the organization.
- Adaptability: Thriving in a fast‑paced, remote environment while managing multiple priorities.
Career Growth & Learning Opportunities
nexawork invests heavily in the professional development of its people. As a senior data scientist, you will have access to:
- Continuous learning stipends for conferences, certifications, and online courses.
- Mentorship programs that pair you with senior leaders in analytics, product, and strategy.
- Opportunities to lead high‑visibility projects that shape global product roadmaps.
- Cross‑functional rotations that broaden your expertise in engineering, marketing, and operations.
- A clear promotion pathway from Senior Data Scientist to Principal Scientist, Analytics Lead, or Director of Data Science.
Work Environment & Culture at nexawork
Our remote‑first philosophy empowers you to work from any location while staying deeply connected to a vibrant, inclusive community. nexawork’s culture is built on three pillars:
- Purpose‑Driven Collaboration: Every team member is encouraged to bring their authentic self, share ideas, and collaborate across borders.
- Innovation with Impact: We celebrate experimentation, learn from failures, and scale successes that improve customer experiences worldwide.
- Inclusivity & Belonging: Diversity of thought, background, and perspective is not just welcomed—it’s essential to our success.
Regular virtual coffee chats, global town halls, and employee resource groups ensure you feel connected, heard, and valued.
Compensation, Perks & Benefits
nexawork offers a competitive compensation package that reflects your expertise and the market landscape. While exact figures may vary by location, you can expect:
- Base salary starting at $26 per hour (or equivalent annualized rate) with performance‑based bonuses.
- Comprehensive health, dental, and vision coverage.
- Generous paid time off, parental leave, and flexible work schedules.
- Retirement savings plans with company matching contributions.
- Wellness programs, including mental‑health resources and virtual fitness classes.
- Technology stipend for home‑office setup and high‑speed internet.
- Employee discount on nexawork products and exclusive access to new releases.
Commitment to Equal Opportunity
nexawork 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, veteran status, or disability. We are dedicated to building a workforce that reflects the diverse communities we serve.
Ready to Make an Impact?
If you are passionate about turning data into strategic advantage, love collaborating with multidisciplinary teams, and thrive in a remote, innovative environment, we want to hear from you. Join nexawork and help shape the future of customer experiences worldwide.
Apply today and become a catalyst for change at nexawork!
Apply for this job