Senior Data Scientist – Remote Predictive Modeling & Data Engineering – $25/hr – arenaflex – DPS

About arenaflex – Pioneering Entertainment Data Innovation

arenaflex is a global leader in entertainment, storytelling, and immersive experiences. With a portfolio that spans television, streaming platforms, and interactive media, arenaflex continuously pushes the boundaries of how audiences engage with content. Our data‑driven culture empowers teams to transform raw information into actionable insights that shape strategic decisions, drive revenue growth, and enhance the viewer experience worldwide. As part of our commitment to innovation, we are expanding our analytics capabilities and looking for a seasoned Senior Data Scientist to join our remote team.

Why This Role Matters

In the fast‑moving world of media consumption, understanding audience behavior, forecasting demand, and optimizing monetization strategies are critical to staying ahead of the competition. As a Senior Data Scientist at arenaflex, you will own the end‑to‑end lifecycle of data pipelines, predictive models, and business intelligence solutions that directly influence the profitability of our TV and streaming assets. Your work will enable cross‑functional partners—ranging from product managers to finance leaders—to make data‑backed decisions that enhance subscriber growth, advertising revenue, and overall customer satisfaction.

Key Responsibilities

• Data Quality & ETL Management: Design, implement, and maintain robust ETL pipelines that ingest, cleanse, and transform data from multiple internal and external sources. Ensure data integrity, consistency, and reliability for downstream analytics.
• Predictive Modeling & Machine Learning: Build, validate, and deploy advanced statistical and AI models (e.g., regression, time‑series, classification, recommendation engines) to predict viewership trends, churn, ad revenue, and content performance.
• Business Intelligence & Visualization: Translate complex analytical results into clear, actionable dashboards and reports using modern BI tools. Communicate insights to non‑technical stakeholders in a compelling, story‑driven manner.
• Cross‑Functional Collaboration: Partner closely with the Analytics, Product, Finance, and Engineering teams to identify high‑impact opportunities, define data requirements, and co‑create solutions that drive measurable business outcomes.
• Process Improvement & Innovation: Continuously evaluate emerging technologies, data‑science methodologies, and best practices. Lead initiatives to streamline workflows, improve model accuracy, and scale analytics capabilities across the organization.
• Mentorship & Knowledge Sharing: Foster a culture of learning by mentoring junior data scientists, conducting code reviews, and contributing to internal knowledge bases and open‑source style collaboration platforms.
• Project Leadership: Own the full project lifecycle—from requirement gathering and data exploration to model deployment and post‑implementation monitoring—ensuring timely delivery and alignment with business objectives.

Essential Qualifications

• Minimum 2+ years of hands‑on experience in data science or analytics roles, preferably within the media, entertainment, or technology sectors.
• Strong proficiency in SQL and Python, including libraries such as pandas, NumPy, scikit‑learn, and statsmodels.
• Demonstrated experience building and maintaining ETL pipelines and data‑pipeline orchestration tools (e.g., AWS Glue, Airflow, Prefect).
• Solid background working with cloud data platforms such as AWS, Snowflake, Databricks, or Azure Synapse.
• Hands‑on experience with big‑data processing frameworks (e.g., PySpark, SparkSQL) and data‑warehouse concepts.
• Proficiency in developing, evaluating, and deploying machine‑learning models (regression, classification, time‑series, ensemble methods).
• Familiarity with version control systems, especially Git, and collaborative development workflows.
• Excellent problem‑solving mindset with a track record of delivering end‑to‑end analytical solutions that drive business impact.
• Strong communication skills—able to translate technical concepts into business‑friendly language for diverse audiences.
• Self‑starter attitude with the ability to thrive in a remote, fast‑paced environment while managing multiple priorities.

Preferred Qualifications & Nice‑to‑Have Skills

• Experience developing full‑stack web applications using Django and front‑end frameworks such as ReactJS or jQuery.
• Hands‑on experience containerizing applications with Docker and orchestrating them via Kubernetes or similar platforms.
• Exposure to data visualization tools like Tableau, Power BI, or Looker.
• Knowledge of statistical testing and experimental design (A/B testing, multivariate testing).
• Familiarity with streaming analytics and real‑time data processing (e.g., Kafka, Kinesis).
• Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, Applied Mathematics, or a related quantitative field.

Core Skills & Competencies

• Analytical Rigor: Ability to dissect complex datasets, identify patterns, and draw meaningful conclusions.
• Technical Acumen: Mastery of data‑engineering tools, statistical modeling, and software development best practices.
• Business Insight: Understanding of media economics, subscription models, advertising dynamics, and content performance metrics.
• Collaboration: Proven ability to work effectively with cross‑functional teams, influence without authority, and build trust.
• Adaptability: Comfort navigating ambiguous data, shifting priorities, and evolving business needs.
• Continuous Learning: Passion for staying current with emerging technologies, industry trends, and best‑in‑class methodologies.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its talent. As a Senior Data Scientist, you will have access to:

• Mentorship from industry‑leading data science leaders and executives.
• Sponsored certifications and training programs (e.g., AWS Certified Data Analytics, TensorFlow Developer Certificate).
• Opportunities to present at internal conferences, publish case studies, and contribute to external data‑science communities.
• Clear career pathways toward Principal Scientist, Analytics Manager, or Director of Data Strategy roles.
• Cross‑departmental project rotations that broaden exposure to product, finance, and marketing analytics.

Work Environment & Culture at arenaflex

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

• Innovation: A culture that encourages experimentation, rapid prototyping, and bold ideas.
• Collaboration: Regular virtual stand‑ups, brainstorming sessions, and knowledge‑sharing forums.
• Diversity & Inclusion: A commitment to building teams that reflect the global audiences we serve.
• Work‑Life Balance: Flexible hours, generous paid time off, and wellness programs to support mental and physical health.
• Recognition: Performance‑based bonuses, peer‑recognition programs, and celebration of milestones.

Compensation, Perks & Benefits

arenaflex offers a competitive compensation package that includes:

• Hourly rate of $25 per hour, with eligibility for performance bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Retirement savings options with company matching contributions.
• Paid parental leave, family care assistance, and flexible PTO.
• Professional development stipend and access to an extensive library of learning resources.
• Home office allowance to support remote work setup.
• Employee assistance programs, mental‑health resources, and wellness challenges.

How to Apply

If you are passionate about turning data into strategic advantage and thrive in a collaborative, remote environment, we want to hear from you. Join arenaflex’s data‑science team and help shape the future of entertainment.

Apply!