Experienced Part-Time Data Scientist – Machine Learning & Business Analytics (Remote/Hybrid)

Posted 2026-05-05
Remote, USA Full-time Immediate Start

About arenaflex

At arenaflex, we believe in the transformative power of technology to enhance people's lives. Everything we develop is designed to empower individuals, from our groundbreaking platforms to our innovative solutions. We deliver advancements that benefit both customers and creators—helping people find satisfaction, supporting producers, and ensuring everyone's security remains a top priority.

Our innovation makes advertising possible across the Application Store, Apple News, Stocks, and Apple TV. We help specialists and sponsors of all sizes drive application visibility across the marketplace. Our show ads on Apple News and Stocks let sponsors promote their products alongside trusted content in a brand-safe environment, while supporting publishers and feature writers. Sponsorship blends and experiences in live games on Apple TV help advertisers connect with delighted audiences. Everything we do is with the unwavering commitment to the security you expect from arenaflex. Because when advertising is done well, it benefits everyone.

About the Role

The Advanced Platforms Data Insights group at arenaflex is seeking a talented ML Data Specialist to join the Product and Client Analysis Team. This team is passionate about pioneering the next generation of analytical solutions working with Sales, Marketing, Finance, Product, and Planning departments.

In this role, you will serve as a critical member of a data-driven team to drive the research, assessment, improvement, implementation, and evaluation of analytical solutions that are essential to maintaining our business success. This position involves transforming the massive amounts of data generated by client searches, application content, and marketplace context into business insights that enhance the end-client experience while driving discovery and efficiency for application developers.

Key Responsibilities


  • Data Analysis & Insights: Analyze vast datasets derived from user searches, application content, and marketplace context to extract meaningful business insights that improve customer experience and drive developer success

  • Machine Learning Development: Build and deploy machine learning models to solve complex business problems and enhance product capabilities

  • Cross-functional Collaboration: Work effectively in a fast-paced, highly collaborative, ever-evolving environment alongside product managers, engineers, and business stakeholders

  • Data Pipeline Management: Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency for analytical purposes

  • Dashboard Creation: Develop informative dashboards and visualizations that communicate complex findings to both technical and non-technical audiences

  • Quantitative Analysis: Conduct complex quantitative analyses including regression, classification, clustering, and time-series forecasting

  • A/B Testing: Design, implement, and analyze A/B experiments to measure product improvements and feature impacts

  • Business Translation: Translate business needs into technical requirements and communicate analytical findings to influence product strategy

  • Big Data Processing: Handle and analyze large-scale datasets efficiently using modern data processing frameworks

  • Innovation: Stay current with emerging data science technologies and methodologies, proposing innovative approaches to solve business challenges

Essential Qualifications


  • Educational Background: Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field required; Master's degree preferred

  • Experience: Minimum 6 years of professional experience in data science, preferably in the digital advertising or product analytics space

  • Technical Proficiency:
  • Advanced programming skills in Python and SQL

  • Experience with cloud platforms such as AWS

  • Proficiency with data warehouses like Snowflake or BigQuery

  • Experience with streaming data processing tools such as Apache Spark/Flink

  • Knowledge of visualization tools including Tableau, Looker, or similar platforms

  • Analytical Skills: Strong foundation in statistical analysis, including regression, classification, clustering, and time-series analysis

  • Communication: Ability to present complex analytical findings in a clear, compelling manner to both technical and executive audiences

  • Project Management: Experience working with cross-functional teams and managing multiple priorities in a fast-paced environment

Preferred Qualifications


  • Experience with clickstream data analysis and A/B experimentation in digital advertising environments

  • Background in product analytics with hands-on experience optimizing user engagement and conversion metrics

  • Familiarity with database modeling and data warehousing principles

  • Experience working with data science frameworks such as TensorFlow, PyTorch, or scikit-learn

  • Knowledge of recommendation systems and personalization algorithms

  • Experience with real-time data processing and streaming analytics

  • Background in advertising technology or marketplace analytics

Skills & Competencies


  • Problem-Solving: Creative approach to tackling complex business challenges with data-driven solutions

  • Collaboration: Ability to work effectively with cross-functional teams and communicate with stakeholders at all levels

  • Adaptability: Comfortable working in a dynamic, rapidly evolving environment with shifting priorities

  • Attention to Detail: Strong attention to data quality and accuracy in analytical work

  • Initiative: Self-motivated with the ability to identify opportunities and drive projects forward independently

  • Curiosity: Eagerness to explore data, uncover patterns, and generate actionable insights

  • Communication: Excellent verbal and written communication skills for presenting complex findings to diverse audiences

Career Growth & Learning Opportunities

At arenaflex, we are committed to the professional development of our team members. As part of our data science community, you will have access to:


  • Comprehensive training programs and workshops on cutting-edge data science methodologies

  • Mentorship from senior data scientists and engineering leaders

  • Exposure to a wide range of business domains and product areas

  • Opportunities to lead critical initiatives and drive meaningful impact

  • Career advancement pathways toward senior data scientist, lead, or management positions

  • Participation in internal tech talks, hackathons, and knowledge-sharing sessions

  • Access to external conferences, certifications, and professional development resources

Work Environment & Culture

Join a dynamic team of data scientists and data engineers who work collaboratively to build intelligent and impactful solutions. In this role, you will be a central contributor to a cross-functional team that delivers insights creating immediate and measurable business impact.

At arenaflex, we foster a culture of innovation, diversity, and inclusion. We believe that diverse perspectives lead to better solutions and a more vibrant workplace. Our team values curiosity, humility, and relentless pursuit of excellence. We support flexible work arrangements, including remote and hybrid options, to help our team members achieve work-life balance while contributing to meaningful projects.

We're looking for a curious, helpful, and tenacious individual to join this exceptional team. If you're passionate about using data to drive real business value and want to work with cutting-edge technology in a collaborative environment, we'd love to hear from you.

Compensation & Benefits

We offer competitive compensation packages that recognize your experience and contributions. Our benefits include:


  • Attractive hourly rate of $27 per hour for this part-time position

  • Flexible work schedules with remote/hybrid options

  • Comprehensive health, dental, and vision insurance

  • 401(k) retirement plan with company matching

  • Paid time off and holidays

  • Professional development budget and learning resources

  • Employee assistance programs and wellness initiatives

  • Stock options or equity participation programs

  • Relocation assistance for eligible positions

Join Us

If you're ready to make an impact with your analytical skills and join a team that's transforming how technology empowers people worldwide, apply today. At arenaflex, you'll work on challenging problems, collaborate with talented colleagues, and help shape the future of our products and services.

We encourage candidates from all backgrounds to apply. arenaflex is an equal opportunity employer committed to diversity and inclusion in the workplace.

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