About careerzynith
careerzynith is a global leader in entertainment, media, and technology, delivering unforgettable experiences to millions of fans worldwide. With a heritage that spans nearly a century, careerzynith has evolved from a modest animation studio into a diversified powerhouse that includes streaming services, theme parks, sports broadcasting, and consumer products. Our mission is to create compelling stories and innovative experiences that inspire, entertain, and connect people across cultures and generations.
Our Advertising Revenue & Audience Modeling group sits at the heart of careerzynith’s data‑driven strategy. By harnessing the power of advanced analytics, machine learning, and cloud‑scale data engineering, we help advertisers reach the right audiences, optimize campaign performance, and drive revenue growth for the entire organization. As a remote‑first team, we value flexibility, collaboration, and a relentless curiosity to solve complex problems.
Why This Role Matters
In today’s fast‑moving media landscape, the ability to predict audience behavior and deliver precise targeting is a competitive advantage. As a Senior Data Scientist on the Advertising Revenue team, you will be a catalyst for revenue generation, shaping the strategic direction of careerzynith’s advertising products. You will work closely with cross‑functional partners—including product managers, engineers, marketers, and sales leaders—to translate massive, multi‑source data sets into actionable insights and scalable machine‑learning solutions.
Key Responsibilities
- Model Development & Optimization: Design, implement, and continuously improve audience segmentation and targeting models that predict consumer affinity, purchase intent, and psychographic traits.
- Data Integration & Architecture: Build robust pipelines that ingest and harmonize diverse data sources—ranging from event logs to first‑party metadata—into clean, reusable data models suitable for large‑scale analytics.
- Production Deployment: Deploy models to a suite of ad‑serving endpoints, ensuring low latency, high reliability, and seamless integration with existing advertising platforms.
- Cross‑Functional Collaboration: Partner with product, engineering, and sales teams to align data products with business objectives, gather requirements, and iterate on solutions that drive measurable revenue impact.
- Tooling & Automation: Implement modern orchestration, monitoring, and version‑control tools (e.g., Airflow, Snowpipe, GitHub) to streamline development workflows and maintain production stability.
- Thought Leadership: Advocate for data‑driven decision making across the organization, mentor junior team members, and contribute to the broader data science community at careerzynith.
Essential Qualifications
- 5+ years of professional experience in data science, data engineering, or a related field, with a proven track record of delivering machine‑learning solutions at scale.
- Deep expertise in Google Cloud Platform, especially BigQuery or comparable SQL‑based data warehouses, and a solid understanding of cloud‑native data architectures.
- Advanced proficiency in Python, including experience with data manipulation libraries (pandas, NumPy), ML frameworks (scikit‑learn, TensorFlow, PyTorch), and code versioning.
- Demonstrated ability to translate complex business problems into clear technical specifications and deliver end‑to‑end solutions.
- Strategic mindset combined with hands‑on execution skills—able to see the “big picture” while meticulously handling implementation details.
Preferred Skills & Nice‑to‑Have Experience
- Hands‑on experience with Apache Beam or Apache Spark for large‑scale data processing.
- Familiarity with workflow orchestration tools such as Airflow, Snowpipe, or similar platforms.
- Proficiency in collaborative development using Git and GitHub, including pull‑request workflows and CI/CD pipelines.
- Experience designing and maintaining internal APIs that expose data products to downstream consumers.
- Background in statistical modeling, econometrics, or applied mathematics, preferably with a degree in Computer Science, Statistics, Economics, or a related quantitative discipline.
Core Skills & Competencies
- Analytical Acumen: Ability to dissect massive data sets, identify patterns, and derive insights that drive business value.
- Communication: Strong written and verbal communication skills; capable of presenting technical concepts to non‑technical stakeholders.
- Collaboration: Proven experience working in cross‑functional, remote teams, fostering inclusive dialogue and shared ownership.
- Problem‑Solving: Creative thinker who thrives on ambiguous challenges and can devise innovative, data‑centric solutions.
- Continuous Learning: Commitment to staying current with emerging technologies, industry trends, and best practices in data science and engineering.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a senior member of the Advertising Revenue team, you will have access to:
- Mentorship programs with senior leaders in data science, product, and business strategy.
- Sponsored certifications and training courses in cloud platforms, advanced machine learning, and data engineering.
- Opportunities to lead high‑visibility projects that directly influence company‑wide revenue outcomes.
- Participation in internal hackathons, research symposiums, and industry conferences.
- A clear career ladder that can lead to roles such as Principal Data Scientist, Director of Analytics, or Head of Advertising Technology.
Work Environment & Culture at careerzynith
Our remote‑first culture emphasizes flexibility, autonomy, and a strong sense of community. Whether you are working from a home office, a co‑working space, or a local careerzynith hub, you will be supported by:
- Regular virtual “coffee chats” and team‑building activities to foster connection across time zones.
- Inclusive leadership that values diverse perspectives and encourages open dialogue.
- A collaborative environment where ideas are shared freely, and innovation is celebrated.
- State‑of‑the‑art collaboration tools, secure VPN access, and a robust IT support system.
Compensation, Perks & Benefits
careerzynith offers a competitive total rewards package that reflects the expertise you bring to the role. While exact figures will be calibrated based on experience, location, and market factors, you can expect:
- A base salary range that aligns with industry standards for senior data science talent.
- Performance‑based annual bonuses and long‑term incentive plans tied to company and individual success.
- Comprehensive health, dental, and vision coverage for you and your dependents.
- Retirement savings plans with company matching contributions.
- Generous paid time off, parental leave, and flexible work schedules.
- Wellness programs, mental‑health resources, and employee assistance services.
- Exclusive access to careerzynith entertainment offerings, including streaming subscriptions, theme‑park tickets, and merchandise discounts.
- Professional development funds, tuition assistance, and access to internal learning platforms.
How to Apply
If you are a data‑driven visionary who thrives in a dynamic, remote environment and wants to shape the future of advertising at a world‑renowned entertainment leader, we want to hear from you. Join careerzynith’s mission to turn data into delightful experiences for audiences everywhere.
Submit your application today and become part of a team that blends creativity, technology, and analytics to drive meaningful impact.