Entry-Level Remote Data Scientist – Advanced Analytics, Machine Learning & Predictive Modeling at arenaflex

Why arenaflex?

arenaflex is a leading name in the retail pharmacy and health‑care space, operating thousands of stores across the United States, Puerto Rico, and the U.S. Virgin Islands. With a heritage that spans more than a century, arenaflex is dedicated to improving the health and well‑being of communities by delivering an omnichannel experience that blends physical locations with cutting‑edge digital services. As a data‑driven organization, arenaflex invests heavily in analytics, artificial intelligence, and cloud technologies to turn massive data sets into actionable insights that power better decisions for customers, partners, and the business itself.

Position Overview

We are looking for a highly motivated, entry‑level Remote Data Scientist to join our growing analytics team. In this role, you will apply advanced data‑science techniques, predictive analytics, and machine‑learning methods to solve real‑world business problems. You will work closely with cross‑functional partners—including finance, product, engineering, and senior leadership—to translate complex data into clear, strategic recommendations that drive measurable impact.

Key Responsibilities

• Design, develop, and deploy machine‑learning models (supervised and unsupervised) using Python, PySpark, TensorFlow, PyTorch, and related libraries.
• Build statistical models and algorithms that incorporate probability theory, decision theory, and other quantitative methods to address business challenges.
• Analyze large‑scale data sets to uncover hidden patterns, segment customers, and generate predictive insights that support product development and operational efficiency.
• Collaborate with data engineers to construct robust data pipelines on Azure Databricks, Snowflake, and other cloud platforms.
• Implement version control, CI/CD, and agile development practices using GitHub and related DevOps tools.
• Communicate findings to both technical and non‑technical stakeholders through clear visualizations (Matplotlib, Seaborn) and concise storytelling.
• Participate in A/B testing design, execution, and analysis to evaluate the impact of new initiatives.
• Support the creation of dashboards and self‑service analytics tools that empower business users to explore data independently.
• Stay current with emerging AI/ML techniques, such as reinforcement learning, edge AI, and IoT analytics, and propose innovative applications for arenaflex.
• Travel up to 10% of the time (domestic or international) for on‑site collaboration, workshops, and stakeholder meetings.

Essential Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related STEM field (or equivalent experience).
• At least 4 years of hands‑on experience working with large, complex data sets to develop predictive or optimization models.
• Proficiency in SQL and Python; experience with PySpark or similar distributed‑computing frameworks is highly desirable.
• Demonstrated ability to perform exploratory data analysis, feature engineering, and model evaluation.
• Experience building classification models (decision trees, random forests, XGBoost) and clustering algorithms (K‑means, hierarchical clustering).
• Familiarity with cloud‑based ML services, data warehouses, and containerized deployment (Azure, Databricks, Snowflake).
• Strong communication skills—ability to translate technical concepts into business‑focused narratives for diverse audiences.
• Proven track record of delivering results in fast‑paced, ambiguous environments while managing competing priorities.
• Minimum of 2 years of experience influencing data‑driven decisions within a business context.
• Leadership experience (direct or indirect) in project or project‑team settings is a plus.

Preferred Qualifications

• Master’s or Ph.D. in a quantitative discipline (Computer Science, Statistics, Physics, Mathematics, etc.).
• Hands‑on experience with IoT data streams, edge AI, or reinforcement learning.
• Background in health‑care analytics, pharmacy operations, or related domains.
• Experience designing and analyzing controlled experiments (A/B testing) at scale.
• Knowledge of Bayesian methods and interpretable machine‑learning techniques.

Core Skills & Competencies

• Technical Acumen: Deep understanding of statistical modeling, machine‑learning algorithms, and data‑visualization best practices.
• Problem‑Solving: Ability to break down complex business problems into tractable analytical tasks.
• Collaboration: Comfortable working in cross‑functional teams, building consensus, and influencing stakeholders.
• Communication: Clear written and verbal articulation of insights, recommendations, and technical details.
• Adaptability: Quick learner who thrives in a rapidly evolving technology landscape.
• Ethical Judgment: Commitment to data privacy, security, and responsible AI practices.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its employees. As a Data Scientist, you will have access to:

• Mentorship from senior data scientists and AI architects.
• Sponsored certifications (e.g., AWS Certified Machine Learning, Azure Data Scientist Associate).
• Internal hackathons, innovation labs, and research collaborations with academic partners.
• Opportunities to lead high‑visibility projects that directly influence company strategy.
• Clear career pathways from entry‑level analyst to senior data scientist, lead, and eventually AI/ML manager.

Work Environment & Culture at arenaflex

Our remote‑first culture emphasizes flexibility, autonomy, and work‑life balance. You will join a diverse, inclusive team that values curiosity, collaboration, and continuous improvement. arenaflex promotes:

• Flexible work hours and a fully remote setup (with occasional travel for team events).
• Regular virtual coffee chats, knowledge‑sharing sessions, and community‑building activities.
• A commitment to diversity, equity, and inclusion—ensuring every voice is heard and respected.
• Transparent leadership communication and open‑door policies across all levels.

Compensation, Perks & Benefits

• Competitive base salary aligned with market benchmarks for data‑science talent.
• Performance‑based bonuses and stock‑purchase opportunities.
• Comprehensive health coverage (medical, dental, vision, prescription).
• Company‑paid life insurance and voluntary personal accident coverage.
• 401(k) retirement plan with employer matching contributions.
• Generous paid time off (PTO), holidays, and parental leave.
• Transportation benefit plan and employee store discounts.
• Access to wellness programs, mental‑health resources, and continuous learning platforms.

Application Process

If you are passionate about turning data into strategic advantage, love solving complex problems, and thrive in a collaborative, remote environment, we want to hear from you. Submit your resume, a brief cover letter highlighting a recent data‑science project, and any relevant portfolio or GitHub links.

Join arenaflex Today

At arenaflex, your work will directly impact the health and happiness of millions of customers every day. Become part of a forward‑thinking organization where innovation meets purpose, and where your career can grow alongside cutting‑edge technology.

If this role resonates with your experience and aspirations, apply now and start your journey with arenaflex!

Apply Job!