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About careerzynith – Pioneering the Future of Retail Media
careerzynith is a global leader in omnichannel retail and digital advertising, empowering thousands of suppliers, brands, and marketplace sellers to reach customers wherever they shop. Our mission is to blend cutting‑edge data science with creative marketing solutions, delivering measurable growth for partners across every consumer segment. As a remote‑first organization, careerzynith offers a collaborative, high‑impact environment where innovative thinkers can shape the next generation of retail media technology.
Why This Role Matters
At careerzynith, the Staff Data Scientist is the strategic engine behind our marketing measurement and optimization platform. You will own the design, development, and deployment of sophisticated analytics solutions that drive revenue lift, improve ad effectiveness, and unlock new growth opportunities for our ecosystem of advertisers and retailers. This is a senior‑level position that blends deep technical expertise with business acumen, allowing you to influence product strategy, partner relationships, and the overall direction of careerzynith’s media business.
Key Responsibilities
- Lead the creation and continuous improvement of advanced media measurement methodologies, including revenue lift modeling, ghost ad analysis, Marketing Mix Modeling (MMM), Multi‑Touch Attribution (MTA), and rigorous A/B testing frameworks.
- Define innovative, data‑driven approaches for media measurement, leveraging internal best practices, external research, and emerging market trends to build compelling business cases and set clear performance targets.
- Partner with cross‑functional product managers, engineers, and senior leadership to align analytics roadmaps with commercial objectives, prioritize feature development, and secure executive buy‑in.
- Own the end‑to‑end product lifecycle: translate business requirements into technical specifications, guide implementation, manage risk, and oversee rollout across multiple market segments.
- Communicate complex statistical concepts in clear, business‑focused language, crafting narratives that tie model outcomes to strategic decisions and revenue impact.
- Collaborate with data engineering teams to streamline data pipelines, integrate disparate data sources, and apply modern analytics best practices that deliver actionable insights at scale.
- Present findings and strategic recommendations to senior stakeholders, tailoring insights to diverse audiences ranging from technical teams to C‑suite executives.
- Mentor junior data scientists and analysts, fostering a culture of curiosity, rigor, and continuous learning within the analytics community at careerzynith.
Essential Qualifications
- Education: Master’s degree in Statistics, Data Science, Economics, Operations Research, Engineering, or a closely related field.
- Experience: Minimum 6 years of hands‑on experience in data science, analytics, ad‑tech, or mar‑tech environments, with a proven track record of delivering high‑impact measurement solutions.
- Technical Skills: Proficiency in SQL, Python, and/or R; strong command of statistical modeling, machine learning algorithms, and data visualization tools (e.g., Tableau, Power BI, Looker).
- Modeling Expertise: Demonstrated ability to build and maintain revenue lift, ghost ad, market mix, and multi‑touch attribution models; deep familiarity with predictive modeling techniques.
- Product Management Acumen: Experience shaping product roadmaps, balancing technical feasibility with commercial goals, and managing cross‑functional delivery timelines.
- Communication & Influence: Exceptional verbal and written communication skills; ability to translate technical results into compelling business narratives and influence senior leadership.
- Agile Mindset: Comfortable thriving in fast‑paced, iterative environments; proactive, resourceful, and able to prioritize competing demands without sacrificing quality.
Preferred Qualifications
- Ph.D. in Statistics, Economics, Operations Research, Computer Science, or a related discipline.
- Experience delivering end‑to‑end self‑serve analytics platforms, including UI/UX design, automation, and large‑scale data processing.
- Deep knowledge of the digital and retail media advertising ecosystem, including programmatic ad stacks, inventory management, and marketplace dynamics.
- Track record of publishing research or thought leadership in top‑tier conferences or industry forums.
Core Skills & Competencies
- Strategic Thinking – Ability to see the big picture, identify market opportunities, and translate them into data‑driven product strategies.
- Analytical Rigor – Strong statistical foundation, hypothesis testing, and experimental design capabilities.
- Collaboration – Proven success building trusted relationships with product, engineering, sales, and marketing teams.
- Problem Solving – Comfortable tackling ambiguous, complex challenges and delivering clear, actionable solutions.
- Customer‑Centricity – Deep empathy for advertiser and retailer needs, ensuring solutions drive real business value.
- Leadership – Experience mentoring junior talent and fostering a high‑performance, inclusive team culture.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its people. In this role, you will:
- Lead high‑visibility projects that directly influence multi‑billion‑dollar revenue streams.
- Gain exposure to senior executives, shaping strategic direction for the entire media division.
- Access a robust learning ecosystem, including tuition reimbursement, industry certifications, and internal data‑science bootcamps.
- Participate in cross‑functional innovation labs, where you can prototype emerging technologies such as AI‑driven creative optimization and real‑time bidding algorithms.
- Chart a clear path toward senior leadership roles, such as Director of Analytics, VP of Product Science, or Chief Data Officer within careerzynith.
Compensation, Benefits & Perks
careerzynith offers a competitive total‑reward package designed to attract and retain top talent:
- Base Salary: $160,000 – $230,000, commensurate with experience and expertise.
- Performance Bonuses: Annual incentive plans tied to individual and company performance.
- Equity Participation: Stock options or RSUs to share in careerzynith’s long‑term growth.
- Health & Wellness: Comprehensive medical, vision, and dental coverage; flexible spending accounts; mental‑health resources.
- Retirement Savings: 401(k) plan with generous company match, plus financial planning services.
- Paid Time Off: Generous PTO, sick leave, parental leave, family‑care leave, and paid holidays.
- Work‑Life Flexibility: Remote‑first policy, flexible work hours, and a supportive environment for work‑life integration.
- Learning Benefits: Tuition reimbursement for undergraduate and graduate programs, certification funding, and access to an internal learning portal.
- Additional Perks: Employee discounts, adoption assistance, military leave pay, short‑ and long‑term disability coverage, and wellness programs.
Culture & Work Environment at careerzynith
careerzynith prides itself on a culture of inclusion, curiosity, and relentless innovation. Our teams are:
- Data‑Driven: Decisions are grounded in rigorous analysis, experimentation, and measurable outcomes.
- Collaborative: Cross‑functional partnerships are encouraged, with open communication channels across all levels.
- Customer‑Obsessed: We put advertisers and shoppers at the heart of every product decision.
- Diverse & Inclusive: A workplace where varied perspectives are celebrated, and every voice can influence the future of retail media.
- Agile & Adaptive: Rapid iteration, continuous feedback loops, and a growth mindset drive our success.
How to Apply
If you are passionate about solving complex analytical problems, influencing product strategy, and driving measurable impact for a global leader in retail media, we want to hear from you. Join careerzynith and help shape the future of omnichannel advertising.
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