Data Scientist – Cross-Functional Analytics & Business Intelligence Expert (Part-Time/Remote)

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Join arenaflex as a Data Scientist – Transform Data into Business Impact

Are you ready to be part of something greater? At arenaflex, we're not just building a company—we're creating a movement. For decades, arenaflex has been recognized as an organization that goes beyond the ordinary, celebrating rich traditions while simultaneously bringing people together through meaningful connections. We're known for developing exceptional leaders who share this passion and are guided by their commitment to serve others. Now, we're looking for a talented Data Scientist to join our Information, Analysis, Insights, and Business Operations team and help us make better decisions through the power of data and analytics.

As an emerging leader in the data science field, you'll have the unique opportunity to work cross-functionally with data engineers, data scientists, business experts, and external vendors to solve complex business challenges. Your expertise in forecasting, automating ETL processes, and designing analytical models using structured or unstructured data will be instrumental in driving arenaflex's strategic initiatives forward. You'll work directly with colleagues and technology teams from problem identification through solution implementation, quickly becoming an expert in one of our key business and data areas—Supply Chain, People Analytics, Marketing, or Store Operations.

Why arenaflex?

At arenaflex, we believe that our greatest asset is our people. We are committed to creating a diverse and inclusive workplace that embraces partners with varied backgrounds and experiences. We believe that this diversity enables us to better meet our mission and values while serving customers throughout our global communities. When you join arenaflex, you become part of a culture that values innovation, collaboration, and continuous learning. We offer competitive compensation, flexible work arrangements, and opportunities for professional growth that set us apart in the industry.

Our Data Science team operates as a center of excellence, constantly improving existing processes and analytical approaches. You'll have the chance to work on cutting-edge projects that directly impact business outcomes, all while developing your skills alongside some of the best minds in the industry. Whether you're passionate about predictive modeling, machine learning, data visualization, or business intelligence, arenaflex provides the platform and support you need to succeed.

Key Responsibilities

As a Data Scientist at arenaflex, you will play a critical role in transforming raw data into actionable insights that drive business decisions. Your core responsibilities will include:

• Data Extraction and Analysis: Extract data from various databases; perform exploratory data analysis, cleansing, massage, and aggregation of datasets to ensure data quality and accessibility for analytical purposes.


• Problem-Solving Approach: Determine appropriate analytical approaches to tackle complex business problems; combine machine learning algorithms where appropriate to develop innovative solutions.


• Process Automation: Utilize scaling and automation techniques to streamline data preparation processes, reducing manual effort and improving efficiency across the organization.


• Insight Communication: Transform model results into digestible formats for end users through visualization, clear tables, and compelling presentations that tell a story with data.


• Stakeholder Support: Help both technical and non-technical end users understand how to utilize and interpret analyses effectively, bridging the gap between complex data science and business decision-making.


• Cross-Functional Collaboration: Work collaboratively with team members across departments to identify business opportunities and develop data-driven recommendations.


• Model Development: Design, build, and deploy analytical models using both structured and unstructured data sources to solve real-world business challenges.


• Continuous Improvement: Stay current with emerging trends in data science, machine learning, and analytics to continuously improve existing processes and methodologies.

Essential Qualifications

To excel in this role, you'll need to bring a strong educational foundation combined with hands-on industry experience:

• Education: Bachelor's degree or higher with a focus in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, Economics, Quantitative Sociology, or a comparable field. Advanced degrees are highly valued but not required.


• Experience: Minimum of 2+ years of industry experience in data science or a related analytical role. We welcome candidates who have demonstrated excellence in academic or research settings as well.


• Technical Proficiency: Strong background working with predictive and statistical modeling, machine learning, and solid expertise in all stages of the modeling pipeline—from data preprocessing and feature engineering to model training, validation, and deployment.


• Data Engineering Skills: Experience building complex datasets from multiple data sources, both internal and external. This includes the ability to integrate disparate data sources and ensure data integrity throughout the pipeline.


• Database and ETL Skills: Strong SQL and database skills are required, including the ability to clean, manage, and optimize large datasets for analytical purposes.


• Programming Expertise: Advanced proficiency in Python, R, or other statistical programming platforms. Experience with data manipulation libraries such as pandas, NumPy, or similar tools is essential.


• Business Acumen: Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and initiatives.


• Communication Skills: Strong ability to communicate effectively with both technical and non-technical stakeholders, translating complex analytical concepts into business-friendly language.


• Self-Motivation: Self-starter with keen attention to detail and results-oriented mindset, capable of working with minimal direction while maintaining high standards of quality.


• Cloud Platforms: Experience with cloud platforms such as Azure or AWS is preferred but not required. Familiarity with cloud-based data processing and machine learning services is a plus.

Preferred Qualifications

While not mandatory, the following qualifications will help you stand out:

• Advanced degree (Master's or PhD) in a quantitative field


• Experience in retail, consumer goods, or supply chain analytics


• Knowledge of big data technologies such as Spark or Hadoop


• Familiarity with business intelligence tools like Tableau, Power BI, or Looker


• Experience with version control systems (Git) and collaborative development practices


• Understanding of A/B testing and experimental design methodologies


• Background in people analytics or workforce planning is a plus

Skills and Competencies

Beyond technical qualifications, success at arenaflex requires a unique blend of skills and personal attributes:

• Analytical Thinking: You possess strong problem-solving abilities and can approach complex challenges with curiosity and logical reasoning.


• Collaboration: You thrive in cross-functional teams and enjoy working with diverse stakeholders to achieve common goals.


• Adaptability: You can quickly adapt to new tools, technologies, and methodologies in the rapidly evolving field of data science.


• Communication: You can explain complex technical concepts to non-technical audiences and create compelling data visualizations that drive action.


• Initiative: You take ownership of your work and are proactive in identifying opportunities for improvement.


• Mentorship: You have the ability to educate others on statistical and machine learning techniques, helping build analytical capabilities across the organization.

Career Growth and Learning Opportunities

At arenaflex, your career growth is our priority. As a Data Scientist, you'll have access to numerous opportunities for professional development:

• Career Advancement: As you grow in your role, you'll have pathways to senior data scientist positions, team lead roles, or specialized positions in areas like machine learning engineering or business intelligence.


• Continuous Learning: We invest in your growth through access to online courses, conferences, and professional development programs.


• Cross-Functional Exposure: You'll gain exposure to various business domains—Supply Chain, People Analytics, Marketing, and Store Operations—broadening your expertise and marketability.


• Mentorship Programs: You'll learn from experienced data scientists and leaders who are committed to helping you succeed.


• Cutting-Edge Projects: Work on innovative projects that push the boundaries of what's possible with data and analytics.

Work Environment and Culture

arenaflex is committed to creating a diverse and welcoming environment that includes partners with diverse backgrounds and experiences. We believe this enables us to better meet our mission and values while serving customers throughout our global communities. Our culture is built on mutual respect, collaboration, and a shared passion for excellence.

This position offers flexible work arrangements, including the possibility of remote work. We understand the importance of work-life balance and provide our team members with the flexibility they need to thrive both professionally and personally.

Compensation and Benefits

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

• Competitive Salary: $24 per hour for this part-time position, with the opportunity for performance-based increases.


• Flexible Schedule: 8-hour work days with flexibility to accommodate your lifestyle.


• Remote Work Options: Enjoy the convenience of working from home or remotely.


• Professional Development: Access to training resources, certifications, and career development programs.


• Inclusive Culture: Be part of an organization that values diversity and inclusion, where every voice matters.

How to Apply

Ready to join us and be part of something greater? We encourage you to apply today! All qualified candidates will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

We are committed to making reasonable accommodations to enable candidates with disabilities to participate in the application process. Qualified candidates with criminal histories will be considered for employment in a manner consistent with all federal, state, and local laws.

At arenaflex, we believe that diverse teams make better decisions. We encourage applications from minorities, women, LGBTQIA+, veterans, and individuals with disabilities to join us in building a more inclusive future.

Apply now and take the first step toward an exciting career with arenaflex! We can't wait to see what you'll accomplish.