Remote Part‑Time Data Scientist – Machine Learning & Analytics Specialist – $27/hr – Join arenaflex’s Innovation Team
About arenaflex
arenaflex is a global leader in digital experiences, empowering millions of users every day through cutting‑edge platforms that span the arenaflex Store, arenaflex News, and arenaflex TV. Our mission is to create technology that enriches lives, fuels creativity, and drives meaningful connections between developers, advertisers, and end‑users. With a culture rooted in curiosity, collaboration, and relentless innovation, arenaflex continuously pushes the boundaries of what’s possible in the tech‑driven advertising ecosystem. As we expand our data‑centric capabilities, we are looking for passionate professionals who want to shape the future of intelligent product experiences.
Role Overview
This part‑time, remote position is designed for a data‑savvy professional who thrives on turning massive, real‑time data streams into actionable insights. As a Data Scientist – Machine Learning & Analytics on the Data Platforms team, you will partner with product managers, engineers, and business stakeholders to design, develop, and operationalize analytical solutions that improve user experiences across the arenaflex ecosystem. Your work will directly influence product strategy, advertising effectiveness, and the overall health of our digital platforms.
Key Responsibilities
- Extract, transform, and load (ETL) large‑scale clickstream and transaction data from the arenaflex Store, arenaflex News, and arenaflex TV into analytical pipelines.
- Design and implement machine‑learning models for recommendation, churn prediction, and A/B testing analysis, ensuring they are production‑ready and scalable.
- Collaborate with product owners to translate business questions into clear data requirements and analytical roadmaps.
- Develop interactive dashboards and visualizations that communicate complex findings to non‑technical audiences.
- Perform advanced statistical analyses, including regression, time‑series forecasting, and causal inference, to uncover hidden patterns.
- Maintain and optimize data warehouses on Snowflake, ensuring data integrity, security, and performance.
- Provide thought leadership on best practices for data governance, model monitoring, and experiment design.
- Mentor junior analysts and contribute to a culture of continuous learning within the data science community at arenaflex.
Essential Qualifications
- Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum 6 years of hands‑on experience in data science, preferably within the digital advertising or e‑commerce sector.
- Proficiency in Python (pandas, scikit‑learn, TensorFlow/PyTorch) and SQL for data manipulation and analysis.
- Demonstrated experience working with cloud platforms such as AWS, and data‑warehouse technologies like Snowflake.
- Strong background in statistical modeling, experimental design, and A/B testing methodologies.
- Ability to communicate technical results clearly to product, engineering, and executive audiences.
- Self‑starter attitude with the capacity to thrive in a fast‑paced, cross‑functional remote environment.
Preferred Qualifications
- Advanced degree (M.S. or Ph.D.) in a quantitative discipline.
- Experience with big‑data processing frameworks such as Apache Spark or Presto.
- Familiarity with data‑visualization tools like Tableau, Looker, or Power BI.
- Knowledge of advertising technology stacks, including demand‑side platforms (DSP) and supply‑side platforms (SSP).
- Prior work on recommendation engines or personalization systems for large‑scale consumer platforms.
- Exposure to CI/CD pipelines and model deployment tools (e.g., Docker, Kubernetes, SageMaker).
Core Skills & Competencies
- Analytical Thinking: Ability to dissect complex problems, identify root causes, and propose data‑driven solutions.
- Collaboration: Strong interpersonal skills to work effectively with engineers, product managers, and business leaders.
- Communication: Clear, concise storytelling with data, using visual aids and executive summaries.
- Adaptability: Comfort with ambiguity and rapid iteration in a constantly evolving product landscape.
- Ethical Data Practices: Commitment to privacy, security, and responsible AI principles.
- Project Management: Ability to prioritize tasks, meet deadlines, and manage multiple initiatives simultaneously.
Career Growth & Learning Opportunities
arenaflex invests heavily in the professional development of its team members. As a part‑time data scientist, you will have access to:
- Mentorship programs with senior leaders in data science and product strategy.
- Annual learning stipend for conferences, certifications, or online courses.
- Opportunities to lead high‑visibility projects that directly impact the arenaflex product portfolio.
- Cross‑functional rotations that broaden your expertise across advertising, content, and commerce domains.
- Regular knowledge‑sharing sessions, hackathons, and internal meet‑ups to foster innovation.
Work Environment & Culture at arenaflex
Our remote‑first culture is built on trust, flexibility, and inclusion. arenaflex encourages a healthy work‑life balance, offering flexible scheduling that accommodates different time zones and personal commitments. The team is diverse, collaborative, and driven by a shared purpose: to create technology that makes a positive impact on billions of lives. You will join a supportive community where ideas are welcomed, feedback is constructive, and success is celebrated together.
Compensation, Benefits & Perks
We offer a competitive hourly rate of $27 per hour, reflective of your expertise and the value you bring to the organization. In addition to base compensation, arenaflex provides:
- Comprehensive health, dental, and vision insurance plans.
- Retirement savings options with company matching contributions.
- Paid time off and holidays to recharge and spend time with loved ones.
- Wellness stipend for fitness, mental‑health resources, or home office upgrades.
- Employee assistance program (EAP) and access to counseling services.
- Technology allowance for laptops, monitors, and peripherals to ensure a productive remote workspace.
- Recognition programs that reward innovation, teamwork, and impact.
How to Apply
If you are excited about leveraging data to shape the future of digital experiences and thrive in a dynamic, remote environment, we want to hear from you. Submit your resume, a brief cover letter outlining your relevant experience, and any portfolio or project links that demonstrate your analytical capabilities.