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About careerzynith – Pioneering the Future of Retail Media
careerzynith is a global leader in omnichannel retail and digital advertising, empowering suppliers, brands, and marketplace sellers with sophisticated, data‑driven marketing tools. Our mission is to transform the way products reach consumers by blending cutting‑edge analytics, AI‑powered insights, and seamless media execution across every touchpoint. With a culture rooted in curiosity, collaboration, and relentless innovation, careerzynith offers a dynamic environment where bold ideas become industry‑changing solutions.
Why This Role Matters
As a Senior Staff Data Scientist at careerzynith, you will be at the heart of our Marketing Analytics team, shaping the next generation of media measurement, attribution, and optimization frameworks. Your work will directly influence how millions of shoppers discover products, how brands allocate budgets, and how our platform delivers measurable ROI for every stakeholder.
Role Summary
This remote, full‑time position is designed for a seasoned data science leader who thrives on solving complex, high‑impact problems. You will lead the development of advanced measurement methodologies, partner with cross‑functional product teams, and translate sophisticated models into clear, actionable narratives for senior leadership and external partners.
Key Responsibilities
- Design and enhance measurement methodologies: Build and refine models for revenue lift, incremental sales, ghost advertising, Marketing Mix Modeling (MMM), Multi‑Touch Attribution (MTA), and rigorous A/B testing.
- Strategic innovation: Define forward‑looking measurement strategies that incorporate best‑in‑class industry practices, uncover new market opportunities, and construct compelling business cases for product investments.
- Cross‑functional partnership: Cultivate strong relationships with product managers, engineering leads, and senior stakeholders to align roadmaps with business objectives, secure buy‑in, and drive execution.
- Product roadmap ownership: Prioritize technical and commercial requirements, determine rollout strategies, and manage risk across multiple release cycles.
- Stakeholder communication: Continuously engage senior leadership to ensure alignment, manage interdependencies, and translate technical insights into business‑focused narratives.
- Data storytelling: Simplify complex modeling concepts into clear, compelling stories that connect analytical outcomes with strategic business decisions.
- Data platform collaboration: Work closely with the data engineering team to streamline data pipelines, integrate disparate data sources, and apply modern analytics best practices.
- Insight delivery: Present media performance insights and recommendations to executives, marketers, and external partners at varying levels of technical expertise.
- Mentorship and leadership: Guide junior data scientists, foster a culture of continuous learning, and champion best practices in model development and validation.
Essential Qualifications
- Master’s degree in Statistics, Economics, Operations Research, Engineering, or a related quantitative field.
- Minimum 6 years of professional experience in data science, analytics, ad‑tech, mar‑tech, or a closely related domain.
- Proficiency in SQL, Python, and/or R, with a strong foundation in database concepts and data manipulation.
- Demonstrated experience building measurement solutions such as revenue lift, ghost advertising, market mix, and multi‑touch attribution models.
- Deep knowledge of predictive modeling algorithms, statistical testing, and experimental design.
- Track record of product ownership or leading data‑driven product initiatives from concept through launch.
- Exceptional project management skills, including the ability to juggle multiple priorities, meet milestones, and navigate fast‑paced agile environments.
- Strong business acumen with the ability to translate quantitative findings into strategic recommendations.
- Excellent written and verbal communication skills, with a proven ability to influence senior stakeholders and present complex ideas clearly.
- Passion for solving ambiguous problems, a disciplined execution mindset, and a collaborative, can‑do attitude.
Preferred Qualifications
- Ph.D. in Statistics, Economics, Operations Research, or a related quantitative discipline.
- Experience delivering end‑to‑end self‑serve analytics platforms, productization of data science solutions, and automation of reporting pipelines.
- Hands‑on expertise with digital and retail media advertising ecosystems, including ad‑stack technologies, programmatic buying, and media buying analytics.
- Background in designing user‑centric experiences for marketers and advertisers, with a focus on scalability and performance.
Core Skills & Competencies
- Analytical Rigor: Ability to develop, validate, and iterate on sophisticated statistical models.
- Technical Fluency: Strong coding skills (SQL, Python, R) and familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Redshift).
- Business Insight: Understanding of retail media economics, advertising ROI, and the strategic levers that drive growth for brands.
- Communication Excellence: Talent for crafting clear, concise presentations and executive‑level briefings.
- Leadership & Mentorship: Experience guiding junior talent and fostering a collaborative, high‑performance team culture.
- Agile Mindset: Comfort working in fast‑moving, iterative development cycles with cross‑functional squads.
- Problem‑Solving Creativity: Ability to think outside the box, identify hidden opportunities, and propose innovative solutions.
Career Growth & Learning Opportunities at careerzynith
careerzynith invests heavily in the professional development of its employees. In this role, you will have access to:
- Mentorship from senior leaders in data science, product, and retail media.
- Continuous learning programs, including tuition reimbursement, certifications, and internal workshops on AI, machine learning, and advanced analytics.
- Opportunities to present at industry conferences, publish research, and influence the broader retail media ecosystem.
- A clear career ladder that can lead to Director of Data Science, Head of Analytics, or Product Leadership positions within careerzynith.
Compensation, Perks & Benefits
careerzynith offers a competitive total rewards package that reflects the expertise you bring to the organization:
- Salary Range: $160,000 – $230,000 annually, commensurate with experience and impact.
- Performance‑Based Incentives: Annual bonuses and equity grants tied to individual and company performance.
- Health & Wellness: Comprehensive medical, vision, and dental coverage, plus mental health resources and wellness programs.
- Retirement Savings: 401(k) plan with company match, stock purchase options, and financial planning assistance.
- Paid Time Off: Generous PTO, sick leave, parental leave, family care leave, and flexible holidays to support work‑life balance.
- Learning Benefits: Full tuition reimbursement for approved degree programs, certifications, and professional courses.
- Employee Discounts & Perks: Access to careerzynith retail discounts, adoption and surrogacy assistance, military leave pay, and more.
- Remote‑First Flexibility: Ability to work from anywhere within the United States, with occasional in‑person collaboration events.
Our Culture – What It’s Like to Work at careerzynith
At careerzynith, we champion a culture of inclusion, curiosity, and impact. Our teams are built on:
- Collaboration: Cross‑functional squads that bring together data scientists, engineers, product managers, and marketers to solve real‑world problems.
- Innovation: A sandbox environment where experimentation is encouraged, and failures are treated as learning opportunities.
- Customer‑Centricity: Every decision is guided by the goal of delivering measurable value to our brand partners and shoppers.
- Diversity & Inclusion: A commitment to building a workforce that reflects the communities we serve, with employee resource groups and inclusive policies.
- Recognition: Regular acknowledgment of achievements through awards, shout‑outs, and career advancement pathways.
How to Apply
If you are ready to leverage your data science expertise to shape the future of retail media, we want to hear from you. Join careerzynith and become part of a team that turns data into strategic advantage for brands worldwide.
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