Data Entry & Graduate Data Science Intern – Remote Part‑Time (No Experience Required) – arenaflex – California (CA)

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

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Why arenaflex? – A Visionary Leader in Global Air Transportation


arenaflex is a world‑renowned air transportation brand that links more than 300 destinations and serves hundreds of millions of passengers each year. Our Operations Decision Science (ODS) team powers the airline’s complex, data‑driven ecosystem, building predictive models and intelligent tools that keep flights on time, seats filled, and customers delighted. As a fast‑growing, technology‑centric organization, arenaflex invests heavily in AI, machine‑learning, and advanced analytics to stay ahead of industry challenges and to set new standards for safety, sustainability, and service excellence.


We believe that our greatest asset is our people. Whether you are a seasoned data professional or a recent graduate stepping into your first role, arenaflex offers a culture of curiosity, collaboration, and continuous learning. Join us on a journey where your insights can literally help millions of travelers soar higher every day.

Role Overview – Remote Part‑Time Data Entry & Graduate Data Science Internship


arenaflex’s ODS department is seeking a motivated, detail‑oriented intern to support data entry, data collection, and exploratory analysis tasks that feed into larger machine‑learning pipelines. This is a remote, part‑time opportunity based in California (CA) for candidates who are currently pursuing a graduate degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, or a related discipline. No prior professional experience is required—only a strong academic foundation and a passion for turning raw data into actionable intelligence.


In this role you will be a crucial bridge between raw data sources and the analytics team, ensuring that data is accurate, well‑documented, and ready for advanced modeling. You will work side‑by‑side with senior data scientists, learn best practices in data engineering, and contribute to projects that directly impact airline performance, customer experience, and operational efficiency.

Key Responsibilities



  • Data Acquisition & Entry: Execute SQL queries to extract raw data from relational databases, then clean, format, and load the data into internal data lakes or analysis environments.

  • Exploratory Data Analysis (EDA): Perform initial statistical summaries, visualizations, and quality checks to flag anomalies, missing values, and outliers.

  • Collaboration with Data Scientists: Partner with senior data scientists to understand analytical requirements and provide well‑curated datasets for model development.

  • Documentation & Data Storytelling: Create clear data dictionaries, process documentation, and concise visual reports to communicate findings to both technical and non‑technical stakeholders.

  • Continuous Learning: Participate in weekly knowledge‑sharing sessions, code reviews, and mentorship meetings to deepen expertise in machine‑learning frameworks (Python, scikit‑learn, R, SAS).

  • Security & Compliance: Adhere to arenaflex’s strict data privacy policies, ensuring the confidentiality of passenger information and internal metrics.

  • Feedback Loop: Gather feedback from business partners on data usability and iterate on data pipelines to improve reliability and performance.

Minimum Qualifications (What You Need to Succeed)



  • Currently enrolled in a Master's program (or final year of a Bachelor’s program) in Data Science, Statistics, Mathematics, Operations Research, Computer Science, or a closely related field.

  • Hands‑on experience writing SQL queries against relational databases (e.g., MySQL, PostgreSQL, Oracle).

  • Fundamental knowledge of machine‑learning concepts and familiarity with at least one programming language used for data analytics (Python, R, SAS, or similar).

  • Strong written and verbal communication skills—able to translate technical findings into business‑friendly language.

  • Demonstrated ability to work independently in a remote environment while meeting deadlines and maintaining high data quality.

  • A collaborative mindset that embraces diverse perspectives, questions assumptions, and contributes positively to team dynamics.

  • Commitment to safety, data security, and ethical handling of sensitive information.

Preferred Qualifications (Nice‑to‑Have Add‑Ons)



  • Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn.

  • Familiarity with cloud platforms (AWS, Azure, GCP) and data storage solutions like S3 or Azure Blob.

  • Exposure to version control systems (Git) and collaborative coding environments (GitHub, GitLab).

  • Prior internship or project experience in a data‑driven environment, especially within transportation, logistics, or supply‑chain domains.

  • Knowledge of airline industry metrics (load factor, on‑time performance, revenue per available seat‑mile) to better contextualize analytical work.

Core Skills & Competencies



  • Analytical Thinking: Ability to dissect complex data sets, identify patterns, and propose actionable insights.

  • Attention to Detail: Meticulous approach to data cleaning and validation to ensure model integrity.

  • Technical Proficiency: Strong command of SQL; working knowledge of Python (pandas, numpy) or R for data manipulation.

  • Communication: Competence in creating succinct reports, visual dashboards, and presenting findings to cross‑functional teams.

  • Adaptability: Comfortable navigating fast‑paced, evolving project scopes typical of a global airline operation.

  • Team Orientation: Willingness to contribute to a collaborative culture and support peers in achieving shared goals.

Career Growth & Learning Opportunities


arenaflex invests heavily in the development of its talent. As an intern, you will have access to:



  • Mentorship from senior data scientists who have built award‑winning predictive models for flight scheduling, crew optimization, and revenue management.

  • Structured learning pathways, including internal MOOCs on advanced machine‑learning, cloud data engineering, and data‑visualization best practices.

  • Opportunity to transition into a full‑time analyst or data scientist role based on performance and business needs.

  • Participation in cross‑functional hackathons and innovation challenges that can lead to patented solutions or company‑wide adoption.

  • Networking within arenaflex’s global community of data professionals, engineering teams, and business leaders.

Work Environment & Culture at arenaflex


Our remote work policy is built on trust, flexibility, and results. You’ll be part of an inclusive, multicultural team that values:



  • Care & Integrity: We put people first—our customers, employees, and partners—while upholding the highest ethical standards.

  • Resilience & Servant Leadership: We empower each other to overcome challenges and celebrate collective achievements.

  • Teamwork & Collaboration: Every voice matters; we encourage open dialogue, constructive feedback, and shared problem‑solving.

  • Diversity & Inclusion: Business Resource Groups connect employees across backgrounds, fostering a sense of belonging and driving inclusive innovation.

Compensation, Perks & Benefits (General Overview)



  • Hourly Rate: $25 – $35 per hour, commensurate with experience and academic standing.

  • Performance Incentives: Potential bonuses tied to project milestones and contributions to key analytics initiatives.

  • Retirement Savings: 401(k) plan with employer match up to 9% of eligible compensation.

  • Paid Time Off: Vacation, holidays, sick leave, and parental/family leave options.

  • Comprehensive Health Coverage: Medical, dental, vision, short‑ and long‑term disability, and life insurance.

  • Family Support Programs: Fertility assistance, surrogacy and adoption support, lactation resources, and backup childcare.

  • Well‑Being Portfolio: Access to employee assistance programs, financial counseling, mental‑health resources, and wellness coaching.

  • Travel Benefits: Discounted domestic and international flight privileges for you and eligible family members.

  • Learning & Development Stipends: Budget for certifications, conferences, and continued education.

  • Discount Programs: Over 500 partner discounts on hotels, car rentals, insurance, and more through the arenaflex perks platform.

How to Apply


If you are ready to launch your data science career while contributing to the seamless operation of a world‑leading airline, we invite you to submit your application today. Please include your resume, a brief cover letter explaining why you’re excited about the role, and any relevant project work or GitHub repositories.


Apply Now – Join arenaflex!

Take Off with arenaflex – Your Next Career Adventure Awaits


At arenaflex, every data point you touch helps us deliver safe, on‑time, and delightful flights to millions of passengers worldwide. By joining our ODS team, you’ll gain real‑world experience on high‑impact projects, grow alongside industry experts, and lay the foundation for a thriving career in analytics and AI.


Don’t miss this chance to blend your academic knowledge with hands‑on experience in a supportive, forward‑thinking environment. Apply today and start your journey toward making the skies a little smoother for everyone.


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