Senior Data Scientist – Machine Learning & Predictive Analytics (Last Mile Delivery Operations)

Join arenaflex as a Data Scientist – Shape the Future of Last Mile Delivery

Are you passionate about leveraging data science and machine learning to transform how millions of customers receive their packages? Do you thrive on building intelligent systems that detect patterns, optimize operations, and drive meaningful business outcomes? arenaflex is looking for a talented and driven Senior Data Scientist to join our Last Mile Delivery team and help us revolutionize the way we serve our customers.

At arenaflex, we believe that great data science isn't just about numbers—it's about solving real-world problems that impact millions of people every day. As part of our Last Mile organization, you'll work on cutting-edge machine learning initiatives that directly affect driver safety, delivery efficiency, and customer satisfaction. This is an opportunity to make a tangible impact while growing your career at one of the world's most innovative companies.

About the Role

We're seeking an experienced Data Scientist who is excited about building and optimizing machine learning models that power our driver abuse detection and demand forecasting systems. In this role, you'll be responsible for developing sophisticated algorithms that identify patterns in driver behavior, predict delivery demand, and ensure the safety and trust of our delivery ecosystem.

You'll collaborate closely with cross-functional teams including Product Managers, Engineering teams, Operations specialists, and business stakeholders to deliver data-driven solutions that scale. This position offers the unique opportunity to work with massive datasets and apply advanced statistical and machine learning techniques to solve complex logistical challenges.

Key Responsibilities

• Machine Learning Model Development: Build, train, and optimize machine learning models using both parametric and non-parametric statistical approaches to improve the performance of driver abuse detection and driver search algorithms within arenaflex's Last Mile organization.
• Model Maintenance & Monitoring: Run and maintain hourly and daily driver abuse models, ensuring consistent performance and reliability. Manage model refresh cycles and address any escalations or issues promptly.
• Business Stakeholder Support: Drive weekly status updates and handle ad-hoc requests or queries related to driver abuse models and escalations from business stakeholders, including account executive escalations.
• Feature Engineering: Incorporate missing purchase order data into driver abuse models and implement necessary modifications to enhance model accuracy and coverage.
• Deep Learning Applications: Apply deep learning methodologies including Convolutional Neural Networks (CNNs), neural networks, image classification, decision trees, random forests, and clustering algorithms (K-means, T-SNE) to detect driver abuse patterns.
• Demand Forecasting: Build new store launch demand prediction pipelines using ensemble methods, time series forecasting, and regression algorithms to predict order volume in real-time and estimate driver supply needed to meet demand.
• Pipeline Automation: Automate the driver abuse pipeline for daily and hourly reporting by implementing additive models and streamlined workflows.
• Reporting & Visualization: Create powerful reporting and dashboards using data visualization tools and libraries including Python visualization packages, GGplot, Matplotlib, Plotly, and Tableau to generate meaningful graphical representations of data and model outcomes.
• Cross-functional Collaboration: Support client requirements and design data representations for complex datasets. Collaborate with team members to facilitate communication across different functions of the broader organization.
• End-to-End Model Development: Develop complete predictive models for product improvements and optimization of existing features, from data collection through deployment.
• Model Evaluation & Optimization: Apply best practices for model optimization, testing, and tuning using techniques including Chi-square, ROC curves, and root mean square error to evaluate accuracy, fit, validity, and robustness of multi-level models and model ensembles.
• Statistical Analysis: Perform extensive data and statistical analysis by extracting relevant information using coding tools such as Python, Pandas, and SQL from diverse data sources. Apply data mining techniques to understand underlying distributions (including left-skewed, right-skewed, normal distributions, Central Limit Theorems, standard deviations, and measures of central tendency) and patterns in data.
• Insight Generation: Analyze underlying trends and data distributions to discover user pain points and recommend improvements to product teams.

Minimum Qualifications

• Bachelor's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field.
• Minimum of 2 years of experience in an analytics role or related field demonstrating progressive responsibility and technical growth.

Preferred Qualifications

• Advanced degree (Master's or Ph.D.) in Statistics, Data Science, Machine Learning, Computer Science, or related quantitative field.
• Experience working with large-scale distributed computing systems and big data frameworks.
• Published research or contributions to open-source machine learning projects.
• Experience in logistics, supply chain, or last-mile delivery operations.
• Knowledge of cloud platforms (AWS, Azure, or Google Cloud) and ML deployment workflows.

Required Skills & Competencies

• Proven experience with model building, optimization, and lifecycle management.
• Strong expertise in machine learning and deep learning algorithms including supervised and unsupervised learning methods.
• Experience with predictive, statistical, and analytical modeling techniques and exploratory data analysis strategies.
• Understanding of parametric and non-parametric distributions and their applications in model performance improvement.
• Proficiency in model evaluation and validation, including model fit assessment, testing, tuning, and validation methodologies.
• Understanding of the impact of variables and features on model performance, including feature selection and engineering.
• Strong experience creating compelling reporting and dashboards using data visualization tools including Python libraries, GGplot, Matplotlib, and Tableau.
• Experience with data source identification and dataset creation from multiple disparate sources.
• Solid understanding of functional business domains and scenarios, particularly in operations or logistics.
• Strong database technology skills for data extraction, manipulation, and preprocessing using SQL.
• Experience with code development, testing, and best practices including version control with Git and GitHub.
• Proficiency in coding languages including SQL, Python, and Pandas for data manipulation and analysis.
• Ability to analyze underlying trends and data distributions to identify user pain points and recommend product improvements.
• Excellent collaboration and communication skills to work effectively across cross-functional teams.
• Strong analytical thinking with the ability to translate complex technical findings into actionable business insights.

Work Environment & Culture

At arenaflex, we believe in the power of hybrid collaboration. Our approach combines the best of both worlds: primarily in-office work coupled with remote flexibility when not onsite. Our campuses serve as hubs to enhance collaboration, bring teams together for shared purpose, and drive business results. This approach enables faster decision-making, eliminates location barriers across our global team, and provides flexibility in our personal lives.

You'll be joining a team that values innovation, continuous learning, and mutual support. Our culture encourages curiosity and experimentation—we believe that the best solutions come from diverse perspectives and collaborative problem-solving. As part of our Last Mile organization, you'll have the opportunity to work on projects that directly impact how customers receive their orders, making a real difference in people's lives every day.

Career Growth & Learning Opportunities

We invest in your professional development. As a Data Scientist at arenaflex, you'll have access to comprehensive training programs, mentorship opportunities, and the chance to work on challenging projects that expand your skill set. We encourage our team members to pursue continuous learning and provide support for professional certifications, conference attendance, and advanced education.

This role offers significant career advancement potential within arenaflex's growing data science and analytics organization. You'll work alongside industry experts, gain exposure to cutting-edge technologies, and build a foundation for long-term career growth in one of the world's leading companies.

Compensation & Benefits

At arenaflex, we offer competitive pay that reflects your skills and experience. The hourly rate for this position ranges from $30 - $40 per hour, depending on qualifications and experience. We also provide performance-based incentive awards to recognize your contributions.

Our comprehensive benefits package includes:

• Health & Wellness: Medical, vision, and dental insurance coverage for you and your family.
• Financial Security: 401(k) retirement plan with company match, stock purchase options, and company-paid life insurance.
• Paid Time Off: Generous PTO including sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting time off.
• Disability Coverage: Short-term and long-term disability insurance.
• Education Support: 100% company-paid college tuition and advanced degree programs.
• Additional Perks: Employee discounts, military service pay, adoption fee reimbursement, and more.

We care about your overall well-being—mind, body, and wallet. Our benefits are designed to support you in every aspect of your life.

Why arenaflex?

At arenaflex, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability—and everything in between. As an arenaflex associate, you'll play an essential role in shaping the future of retail, technology, merchandising, finance, and hundreds of other industries—all while affecting the lives of millions of customers around the world.

Here, your work makes an impact every day. What are you ready for?

Equal Opportunity Employer

arenaflex, Inc. is an Equal Opportunity Employer—By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we truly understand them. That means knowing, respecting, and valuing diversity—unique styles, experiences, identities, abilities, thoughts, and opinions—while being inclusive of all people.

Ready to make an impact? Apply today and join our team of innovative professionals who are transforming the future of delivery operations through the power of data science.