Senior Remote Head of Data Science & Research – Item Analytics Leadership for careerzynith’s Global Marketplace

About careerzynith – Innovating the Future of Retail

careerzynith is a world‑leading, technology‑driven retailer that serves more than 1.3 million customers every day across dozens of markets. With a mission to help people save time and money while enjoying a seamless shopping experience, careerzynith combines cutting‑edge data platforms, AI‑powered insights, and a relentless customer‑first mindset. Our culture is built on curiosity, collaboration, and a willingness to turn bold ideas into real‑world impact. As we continue to expand our digital footprint, we are looking for visionary leaders who can harness data to shape the next generation of product experiences.

Role Overview – Head of Data Science & Research, Item Division (Remote)

As the Head of Data Science & Research for the Item division, you will be the strategic architect behind careerzynith’s product analytics, experimentation framework, and insight‑driven decision‑making. Reporting directly to the Chief Data Officer, you will lead a high‑performing team of data scientists, analysts, and research engineers, driving a culture of rigorous experimentation, advanced analytics, and continuous product improvement. This is a senior, high‑visibility role that partners closely with C‑level executives, product managers, marketing, finance, and engineering to translate complex data discoveries into actionable business strategies.

Key Responsibilities

• Team Leadership & Scaling: Recruit, mentor, and grow a world‑class data science organization, scaling talent and capabilities in line with careerzynith’s aggressive growth objectives.
• Strategic Roadmap: Define the long‑term data science vision for the Item division, aligning research initiatives with corporate priorities such as customer acquisition, retention, and profitability.
• Experimentation & Testing: Build and own a robust A/B testing platform, championing a “test‑and‑learn” culture that fuels rapid product iteration and evidence‑based decision making.
• Insight Generation: Deploy advanced statistical methods, machine learning models, and causal inference techniques to uncover hidden patterns in massive product, pricing, and inventory datasets.
• KPIs & Impact Measurement: Establish clear performance metrics (KPIs) for product features, marketing campaigns, and operational initiatives, translating data insights into measurable business outcomes.
• Cross‑Functional Collaboration: Partner with Product, Design, Marketing, Operations, and Finance teams to embed data‑driven thinking into every stage of the product lifecycle.
• Executive Communication: Synthesize complex analytical findings into concise, compelling narratives for senior leadership, board members, and external stakeholders.
• Technology Enablement: Advocate for and implement state‑of‑the‑art data infrastructure, tooling, and automation that empower analysts to focus on insight rather than data wrangling.
• Thought Leadership: Represent careerzynith at industry conferences, publish research papers, and foster a culture of continuous learning within the team.

Essential Qualifications

• Minimum 5 years of experience leading data science or analytics teams in large‑scale, technology‑focused organizations, preferably within e‑commerce or digital retail.
• Proven track record of delivering business impact through data‑driven product experimentation, A/B testing, and predictive modeling.
• Deep expertise in statistical analysis, causal inference, and machine learning, with hands‑on proficiency in tools such as Python, R, SQL, Spark, and Power BI (or equivalent).
• Demonstrated ability to translate complex analytical concepts into clear, actionable recommendations for non‑technical audiences.
• Strong interpersonal and influencing skills, with experience presenting to C‑level executives and steering cross‑functional initiatives.
• Excellent written and verbal communication, capable of crafting compelling stories that drive strategic decisions.

Preferred Qualifications

• Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, Applied Mathematics, or a related quantitative field.
• Experience building and scaling data science platforms in a cloud environment (AWS, GCP, or Azure).
• Background in retail, marketplace, or consumer goods analytics, with a solid understanding of pricing, inventory, and merchandising dynamics.
• Familiarity with modern experimentation frameworks (e.g., Optimizely, LaunchDarkly) and product analytics tools (e.g., Amplitude, Mixpanel).
• History of publishing research in top‑tier conferences or journals, demonstrating thought leadership in the data science community.

Core Skills & Competencies

• Analytical Rigor: Ability to design robust experiments, conduct deep statistical analysis, and interpret results with precision.
• Strategic Thinking: Vision to align data initiatives with broader business goals and anticipate future analytical needs.
• Leadership & Mentorship: Proven talent for building high‑performing teams, fostering a collaborative culture, and developing junior talent.
• Technical Acumen: Mastery of data pipelines, big‑data processing, and visualization tools to deliver insights at scale.
• Business Acumen: Understanding of key retail metrics (e.g., conversion rate, basket size, churn) and how data can drive profitability.
• Communication Excellence: Skill in crafting narratives that resonate with executives, investors, and operational teams.
• Adaptability: Comfort thriving in a fast‑paced, ambiguous environment where priorities shift rapidly.

Career Growth & Learning Opportunities

careerzynith invests heavily in the professional development of its leaders. In this role, you will have access to:

• Executive mentorship programs that pair you with senior leaders across the organization.
• Annual learning stipend for conferences, certifications, and advanced coursework.
• Opportunities to lead company‑wide data initiatives, influencing strategy beyond the Item division.
• Cross‑functional rotation programs that broaden your exposure to product, engineering, and finance.
• Publication support for research papers and speaking engagements at industry events.

Culture & Work Environment at careerzynith

Our remote‑first philosophy empowers you to work from anywhere while staying deeply connected to a vibrant, inclusive community. careerzynith champions:

• Diversity & Inclusion: A workforce that reflects the customers we serve, with employee resource groups and inclusive hiring practices.
• Collaboration: Regular virtual “innovation sprints,” cross‑team hackathons, and open‑door leadership sessions.
• Well‑Being: Comprehensive mental‑health resources, wellness challenges, and flexible scheduling to support work‑life harmony.
• Transparency: Quarterly town halls, open data dashboards, and clear communication of company goals.
• Impact‑Driven Mission: Every project is tied to tangible outcomes that improve the shopping experience for millions of customers worldwide.

Compensation, Perks & Benefits

careerzynith offers a competitive total rewards package designed to attract and retain top talent:

• Base Salary & Performance Bonus: Market‑aligned salary with an annual performance‑based incentive.
• Equity Participation: Stock purchase plan allowing employees to acquire careerzynith shares at a discount.
• Health & Wellness: Medical, dental, and vision coverage for you and your dependents, plus health‑spending accounts.
• Retirement Savings: 401(k) plan with generous company matching contributions.
• Paid Time Off: Flexible vacation policy, paid holidays, and additional paid days for personal milestones.
• Parental & Family Support: Paid parental leave, adoption assistance, and childcare resources.
• Learning & Development: Tuition reimbursement, internal training platforms, and mentorship circles.
• Employee Assistance Program (EAP): Confidential counseling and support services for you and your family.
• Wellness Programs: Access to virtual fitness classes, meditation sessions, and wellness challenges.

Why Join careerzynith?

If you are passionate about turning data into decisive action, love leading high‑impact teams, and thrive in a fast‑moving, customer‑centric environment, careerzynith offers the platform to amplify your influence. You will shape the future of product strategy for a global retailer, work alongside visionary leaders, and enjoy the flexibility of a fully remote role while being part of a purpose‑driven organization.

How to Apply

Ready to drive the next wave of data‑powered innovation at careerzynith? Click the link below to submit your application and start the conversation.

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