About careerzynith
careerzynith is a forward-thinking, innovation-driven organization operating at the intersection of technology, commerce, and customer experience. As a leader in the global digital marketplace space, careerzynith is committed to leveraging data, artificial intelligence, and advanced analytics to shape the future of how customers discover, evaluate, and purchase products and services. Our culture is rooted in curiosity, intellectual rigor, and a relentless pursuit of better outcomes for the millions of customers we serve every day. We believe that meaningful transformation begins with insight — and insight begins with exceptional people.
We are now seeking a transformational leader to join our team as Director of Data Science & Analytics. This is a rare opportunity to lead a high-impact function that directly influences product strategy, technology investments, marketing effectiveness, and executive-level decision-making across the enterprise. If you are a seasoned data science leader who thrives at the intersection of analytics, experimentation, and business strategy, we want to hear from you.
Position Overview
The Director of Data Science & Analytics at careerzynith will serve as a senior leader responsible for shaping the organization's product and technology roadmaps through rigorous data-driven insight. You will lead the analytics function that supports every major data science initiative across careerzynith, while cultivating a culture of experimentation, statistical thinking, and evidence-based decision-making. Reporting to senior leadership, you will be a trusted partner to product, engineering, marketing, operations, and finance teams — and a frequent collaborator with C-level executives.
Successful candidates will be passionate about diving deep into data, possess exceptional analytical capabilities, demonstrate outstanding communication skills, and feel comfortable operating in an environment with a high degree of executive visibility. You will be equally skilled at engaging with technical teams and translating complex scientific findings into clear, concise, and actionable business recommendations. This is a high-profile, high-impact role that connects with stakeholders at every level of the organization, including our most senior leaders.
Key Responsibilities
- Lead and Develop a High-Performing Analytics Organization: Build, mentor, and scale a world-class team of data scientists, analysts, and experimentation specialists. Recruit top-tier talent, provide coaching and professional development, and define team goals and objectives aligned with careerzynith's broader strategic direction.
- Drive Experimentation Culture and Capabilities: Champion a culture of rigorous testing, hypothesis-driven analysis, and continuous learning. Establish and evolve frameworks for A/B testing, multivariate experimentation, causal inference, and causal impact measurement across product, marketing, and customer engagement initiatives.
- Define and Operationalize KPIs: Identify, design, and implement key performance indicators that measure the effectiveness of product features, marketing campaigns, customer engagement strategies, and operational programs. Ensure KPIs are tightly linked to business outcomes and are visible across the organization.
- Deliver Actionable Insights at Scale: Apply advanced analytics techniques — including statistical modeling, predictive analytics, machine learning, and data mining — to extract meaningful, actionable insights from large, complex datasets. Use these insights to influence product development, marketing strategy, and design optimization.
- Partner Cross-Functionally with Senior Stakeholders: Work in close partnership with leaders in Product, Engineering, Marketing, Operations, and Finance. Translate ambiguous business questions into structured analytical approaches and deliver findings that drive measurable business outcomes.
- Influence Executive Decision-Making: Prepare and present compelling narratives, dashboards, and recommendations to C-level leaders and the executive board. Contribute to strategic discussions with depth, clarity, and intellectual honesty.
- Identify Opportunities for Product and Operational Improvement: Continuously scan the business for opportunities to enhance product performance, marketing ROI, customer experience, and operational efficiency through data, automation, and emerging technologies.
- Stay Ahead of Industry Trends: Monitor developments in data science, machine learning, experimentation platforms, and analytics tooling. Evaluate and recommend new technologies, methodologies, and best practices that can elevate careerzynith's analytical maturity.
Essential Qualifications
- Educational Background: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field. A Master's degree or PhD is strongly preferred.
- Industry Experience: 7+ years of progressive experience in data science, analytics, or related quantitative disciplines, with at least 3+ years leading product, customer, and experimentation analytics functions within global, top-tier technology companies — preferably in e-commerce, retail, or consumer-facing industries.
- Leadership Experience: 3+ years in a management role building, leading, and scaling high-performing data science and analytics teams. Demonstrated success in hiring, developing, and retaining exceptional talent.
- Proven Impact: Track record of delivering insights that have driven measurable business results, informed product strategy, and enabled continuous improvement through data-driven methodologies and experimentation.
- Technical Proficiency: Deep expertise in statistical modeling, experimental design, and data visualization. Hands-on proficiency with tools such as Python, R or SAS, SQL, Tableau, Power BI, and modern experimentation platforms.
- Executive Communication: Prior experience presenting to and engaging in substantive discussions with C-level executives and board members. Ability to distill complex analytical concepts into clear, compelling narratives tailored to executive audiences.
- Cross-Functional Collaboration: Demonstrated ability to work effectively across Product, Engineering, Marketing, Operations, and Finance — building trusted partnerships and influencing without direct authority.
Preferred Qualifications
- Experience designing and scaling experimentation programs in large, high-traffic consumer environments.
- Familiarity with cloud-based data platforms such as Snowflake, BigQuery, Redshift, or Databricks.
- Background in machine learning, causal inference, or advanced econometric modeling.
- Experience leading analytics transformations or establishing new analytical functions from the ground up.
- Published research, speaking engagements, or thought leadership in data science, experimentation, or analytics.
Skills and Competencies for Success
- Strategic Thinking: The ability to see the big picture while maintaining rigorous attention to detail. You connect analytical work to business strategy and long-term value creation.
- Intellectual Curiosity: A deep desire to understand how things work and why. You ask probing questions and pursue answers with rigor and creativity.
- Storytelling with Data: You bring data to life through compelling narratives, intuitive visualizations, and clear, actionable recommendations.
- Influence and Leadership: You lead through expertise, empathy, and credibility. You inspire teams, build trust with stakeholders, and shape decisions through insight rather than authority alone.
- Adaptability: You thrive in a fast-paced, dynamic, and evolving environment where priorities shift and ambiguity is the norm.
- Collaboration: You build strong partnerships across functions, levels, and geographies, and you value diverse perspectives in pursuit of the best outcomes.
Career Growth and Learning Opportunities
At careerzynith, we invest deeply in the growth and development of our leaders. As Director of Data Science & Analytics, you will have access to a robust set of resources designed to accelerate your career trajectory:
- Executive coaching and personalized leadership development programs.
- Tuition reimbursement for advanced degrees, certifications, and continuing education.
- Conferences, workshops, and industry events to stay at the forefront of data science and analytics.
- Internal mobility programs that support career transitions across functions, geographies, and business units.
- Mentorship opportunities with senior leaders across the organization.
Work Environment and Company Culture
careerzynith fosters a culture of curiosity, collaboration, and continuous learning. We believe that the best ideas come from diverse teams working together with shared purpose. Our work environment is fast-paced, intellectually stimulating, and supportive — a place where data scientists, engineers, product leaders, and executives come together to solve meaningful problems at scale. We are committed to building an inclusive workplace where every team member can do the best work of their career.
Compensation, Perks, and Benefits
We offer a comprehensive and competitive total rewards package designed to support the health, financial well-being, and personal lives of our team members. Benefits include:
Health and Wellness
- Comprehensive medical, dental, and vision insurance
- Prescription drug coverage
- Health Savings Accounts (HSAs) and Flexible Spending Accounts (FSAs)
- Wellness programs and resources to support physical and mental health
Financial Benefits
- 401(k) retirement plan with company match
- Employee stock purchase plan
- Associate discount on company stock
Insurance Coverage
- Life insurance
- Accidental death and dismemberment (AD&D) insurance
- Short-term and long-term disability insurance
Time Off
- Generous paid vacation days
- Paid holidays
- Sick leave
- Personal days
Family and Lifestyle Support
- Parental leave, including maternity and paternity leave for eligible employees
- Employee Assistance Programs (EAP) offering counseling and support services for employees and their families
- Discounts on a wide range of services, including wireless plans, travel, and entertainment
Career Development
- Tuition reimbursement for qualified educational expenses
- Training and development programs
- Clear pathways for advancement within the organization
How to Apply
If you are a visionary data science leader ready to shape the future of analytics at a global, customer-obsessed organization, we invite you to apply today. Join careerzynith and help us build a more intelligent, insight-driven future — one where data powers every decision and every customer experience. This is more than a job; it is an opportunity to lead, to influence, and to make a lasting impact.