Experienced Part Time Data Scientist – ML Data Specialist (Remote) | Turning Big Data into Business Insights at arenaflex

Remote Full-time
$27/Hour | Part Time | Austin, TX

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Join arenaflex and Shape the Future of Data-Driven Innovation

At arenaflex, we believe in the transformative power of technology to improve people's lives. Everything we create is designed to empower individuals and businesses alike. Our commitment to innovation extends across our entire ecosystem, delivering breakthroughs that help people find satisfaction, support creators, and ensure everyone's security. We are looking for a talented ML Data Specialist to join our Advanced Platforms Data Insights team and help us continue this mission.

Our advertising and discovery platforms make it possible for millions of users worldwide to find content they love across the Application Store, Apple News, Stocks, and Apple TV. We help developers and advertisers of all sizes drive app discovery and visibility. Our sponsored content and experiences in live sports on Apple TV connect brands with engaged audiences. Everything we do is backed by the unwavering commitment to privacy and security that defines arenaflex. When advertising is done right, it benefits everyone—and that's exactly what we strive for every day.

About the Advanced Platforms Data Insights Team

The Advanced Platforms Data Insights group is seeking an ML Data Specialist to join the Product and User Analysis team. This team is passionate about fostering the next generation of analytical solutions working closely with Product, Engineering, Finance, and Planning. In this role, you will serve as a critical member of a data-driven team to drive the research, evaluation, development, implementation, and assessment of analytical solutions that are essential to maintaining our business success.

You will be responsible for turning the massive amounts of data generated by user search, app content, and store context into business insights that enhance the user experience for end-users while driving discovery and efficiency for app developers. This is a unique opportunity to work at the intersection of data science, product development, and business strategy.

Key Responsibilities


Data Analysis and Insights: Transform complex datasets from user searches, app content, and platform interactions into actionable business insights that drive product improvements and user experience enhancements
Machine Learning Collaboration: Work closely with machine learning engineers and data scientists to meet the data needs of the business, translating business requirements into technical specifications
Cross-Functional Partnership: Collaborate effectively with product managers, engineering teams, finance, and planning to influence overall product strategy through data-driven recommendations
A/B Testing and Experimentation: Design, implement, and analyze A/B tests and experiments to evaluate product changes and feature launches
Dashboard Development: Build and maintain insightful dashboards and reporting mechanisms that track key performance metrics and business KPIs
Quantitative Analysis: Conduct complex quantitative analyses including regression, classification, clustering, and time-series analysis to uncover patterns and trends
Data Pipeline Optimization: Work with data engineers to ensure efficient data pipelines and database modeling that support business analytics needs
Communication: Present findings and recommendations clearly to both technical and non-technical stakeholders to influence product decisions


Essential Qualifications


Educational Background: Bachelor's degree or higher in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field
Professional Experience: Minimum of 6 years of experience in data science or analytics roles, preferably in the technology or digital advertising industry
Technical Expertise: Strong programming skills in Python and SQL with hands-on experience working with clickstream data and A/B experimentation
Cloud and Tool Experience: Experience with cloud platforms (AWS preferred), Snowflake, Spark, and visualization tools such as Tableau
Statistical Knowledge: Strong foundation in complex quantitative analysis methodologies including regression, classification, clustering, and time-series forecasting
Data Infrastructure: Understanding of database modeling and data warehousing principles
Experience with Large Datasets: Demonstrated experience conducting analyses on large-scale datasets


Preferred Qualifications


Advanced degree (Master's or PhD) in Computer Science, Mathematics, Statistics, or related quantitative fields
Experience in product analytics with a focus on user behavior and engagement metrics
Knowledge of recommendation systems and personalization algorithms
Familiarity with advertising technology and digital marketing analytics
Experience with big data technologies and distributed computing frameworks
Strong communication skills with the ability to translate complex technical findings into business-impacting recommendations


Skills and Competencies Required for Success

To thrive in this role at arenaflex, you will need a unique combination of technical excellence and business acumen:


Analytical Thinking: The ability to approach complex problems with data-driven solutions and a systematic methodology
Communication Skills: Exceptional ability to communicate the results of analyses in a clear and actionable manner to both technical and executive audiences
Adaptability: Ability to work effectively in a fast-paced, highly collaborative, and constantly evolving environment
Problem-Solving: Creative approach to developing and adapting analytical methods when circumstances require innovative solutions
Business Acumen: Understanding of how data insights translate into business value and product strategy
Team Player: Capability to work collaboratively across functional teams and build strong working relationships
Curiosity: A genuine passion for exploring data and uncovering hidden patterns that can drive meaningful business impact


Career Growth Opportunities and Learning Benefits

At arenaflex, we are committed to helping our employees grow both professionally and personally. As part of our team, you will have access to:


Professional Development: Continuous learning opportunities through internal training programs, workshops, and access to industry conferences
Career Advancement: Clear career paths for progression into senior data science roles, technical leadership positions, or specialized analytics tracks
Mentorship: Access to experienced mentors who can guide your career development and technical growth
Cutting-Edge Technology: Exposure to the latest data science tools, machine learning frameworks, and cloud computing platforms
Cross-Functional Exposure: Opportunities to work with different teams and business units, broadening your experience and skills
Innovation Culture: An environment that encourages experimentation, creativity, and new ideas


Work Environment and Company Culture

Arenaflex is more than just a workplace—it's a community of innovators, thinkers, and problem-solvers who are passionate about making a difference. Our culture is built on collaboration, inclusion, and the relentless pursuit of excellence. We believe that the best ideas can come from anywhere, and we foster an environment where every voice matters.

As a part-time team member, you will enjoy flexibility in your schedule while remaining fully integrated into our team. You'll work alongside talented professionals who are dedicated to their craft and committed to delivering exceptional results. Our offices are designed to inspire creativity and foster collaboration, with state-of-the-art facilities and resources to support your work.

We value work-life balance and understand that our employees are more productive when they have time to recharge and pursue their personal interests. Our flexible work arrangements allow you to do your best work while maintaining a healthy lifestyle.

Compensation, Perks, and Benefits

We recognize that our employees are our most valuable asset, and we are committed to providing competitive compensation and comprehensive benefits:


Competitive Hourly Rate: $27 per hour for part-time work
Health and Wellness: Comprehensive health insurance coverage including medical, dental, and vision plans
Retirement Savings: 401(k) retirement plan with company matching
Paid Time Off: Generous paid vacation, sick leave, and personal days
Employee Discounts: Access to exclusive employee discounts on arenaflex products and services
Stock Options: Eligibility for equity participation in the company's success
Wellness Programs: Access to wellness resources, fitness memberships, and mental health support
Parental Leave: Comprehensive parental leave policies for new parents


Why Join arenaflex?

This is a unique opportunity to be part of a team that is transforming how people discover and engage with technology. You will play a crucial role in shaping the future of our platform and making a real impact on millions of users worldwide. At arenaflex, you will work on challenging problems, learn from talented colleagues, and grow your career in ways you never imagined.

We are looking for someone who is curious, passionate, and driven to make a difference. If you have a background in data science or analytics and are excited about the opportunity to work with cutting-edge technology, we want to hear from you.

Apply Today

Ready to take the next step in your career? We invite you to join the arenaflex team and help us continue to innovate and inspire. Submit your application today and become part of a company that is changing the world through technology.

To apply, please submit your resume and a cover letter detailing your experience and why you're excited about this opportunity. We look forward to learning more about how you can contribute to our team.





Apply Now

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