Senior Data Scientist – Machine Learning, Predictive Analytics & Business Intelligence (Remote/Hybrid Opportunities Available)

About arenaflex

Welcome to arenaflex, a leading innovator in data-driven healthcare and retail solutions. At arenaflex, we believe that the power of data can transform lives, businesses, and communities. With a rich heritage spanning over a century of serving customers and patients, we are committed to leveraging cutting-edge technology and analytics to deliver exceptional experiences across our vast network of locations. Our mission is to create more satisfied lives through better health, and we achieve this by combining advanced data science with genuine care for the communities we serve.

As part of our continued transformation into a digitally-enabled healthcare and retail leader, arenaflex is investing heavily in building world-class data science capabilities. We are looking for a talented Senior Data Scientist to join our growing Analytics Center of Excellence and help us unlock the full potential of our vast data assets. If you are passionate about using data to drive meaningful business outcomes, thrive in collaborative environments, and want to make a real impact in the healthcare and retail industries, we invite you to explore this exciting opportunity.

Position Overview

We're seeking a highly skilled and motivated Senior Data Scientist to apply advanced data science, predictive analytics, and machine learning techniques to provide actionable insights and recommendations. In this role, you will serve as a strategic analytical partner, consulting on program improvement and driving cross-functional initiatives that directly impact our business performance. You'll work with massive datasets, build sophisticated models, and translate complex findings into clear, actionable recommendations for stakeholders across the organization.

Key Responsibilities

• Model Development & Innovation: Build models and tools using technical expertise in machine learning, statistical modeling, probability and decision theory, and other quantitative methods. Innovate by adapting to new modeling techniques and procedures as the field evolves.


• Business Insight Generation: Understand the business context behind large datasets and develop meaningful analytic solutions that address real-world challenges. Translate data into compelling narratives that drive strategic decision-making.


• Advanced Statistical Analysis: Apply analytical rigor and statistical techniques to analyze large volumes of data using advanced methods including predictive statistical models, customer profiling, segmentation analysis, survey design and analysis, and data mining. Build recommendation and optimization algorithmic designs, perform data retrieval, complexity analysis, and scientific computing.


• Programming & Technical Development: Program using tech stack including Python, PySpark, Matplotlib, TensorFlow, PyTorch, and other relevant frameworks to implement and deploy machine learning solutions at scale.


• Machine Learning Implementation: Perform machine learning techniques, including supervised and unsupervised algorithms to build predictive models and prescriptive solutions that support diverse business use cases across retail, pharmacy, and healthcare operations.


• Algorithm Design: Build algorithms including decision trees, regression, XGBoost, K-means clustering, and anomaly detection. Apply interpretable machine learning techniques and Bayesian theory to solve complex business problems.


• Cloud Computing & Data Infrastructure: Utilize Cloud Computing on Azure/Databricks platforms and query data warehouses using Snowflake. Design and maintain scalable data pipelines that support advanced analytics initiatives.


• Software Engineering Practices: Utilize software tools and methodologies including GitHub, continuous integration and delivery (CI/CD), and agile methodologies to ensure robust, production-ready solutions.


• Cross-Functional Collaboration: Collaborate with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support. Act as a trusted advisor to various business units.


• Communication & Stakeholder Management: Communicate verbally and in writing to business clients and management teams with diverse levels of technical expertise. Educate stakeholders about our systems while sharing insights and recommendations that drive business value.

Essential Qualifications

• Educational Background: Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or related quantitative field, with a minimum of four years of experience in data science, machine learning, or quantitative analytics. Alternatively, High School Diploma/GED with a minimum of seven years of relevant experience.
• Advanced Degree Preferred: M.S. in STEM, Computer Science, Information Systems, Physics, Mathematics, Statistics, Data Science, Machine Learning, or similar technical discipline.
• Experience Requirements: At least four years of experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models.
• Programming Expertise: Advanced experience in SQL, Python, PySPark, or other programming languages commonly used in data science and big data environments.
• Statistical Analysis Skills: Advanced degree of skill in exploratory data analysis, feature engineering and selection, detecting patterns, analyzing distributions, visualizing results, and extracting insights to help businesses make informed data-driven decisions.
• Machine Learning Competencies: Experience using decision trees and building classifiers. Experience with supervised learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised learning techniques (K-means, hierarchical clustering, association rules, principal components).
• Cloud & Distributed Computing: Experience with Cloud ML systems, distributed computing, data pipelines, cloud data stores, and serving engines. Familiarity with Azure, AWS, or Google Cloud platforms.
• Experimental Design: Experience designing and analyzing A/B experiments to measure the impact of changes and drive data-informed product decisions.
• Communication Skills: Advanced degree of skill in conveying rigorous technical standards and issues to non-experts. Experience effectively communicating technical solutions and advocating for solutions to data scientists, engineering teams, and business audiences.
• Business Acumen: At least two years of experience contributing to financial decisions within the organization. Understanding of how analytical insights translate into business value.
• Leadership Experience: At least two years of direct leadership, indirect management, and/or cross-functional team management experience.
• Travel Requirement: Willing to travel up to at least 10% of the time for business purposes (domestic and international).

Preferred Qualifications

• Ph.D. in STEM, Computer Science, Information Systems, Physics, Mathematics, Statistics, Data Science, Machine Learning, or similar technical discipline.


• Experience working with IoT (Internet of Things) and Edge AI technologies.


• Experience in Reinforcement Learning applications.


• Domain experience in Healthcare, Pharmacy, or Retail industries.

Skills & Competencies Required for Success

• Technical Excellence: Deep expertise in machine learning algorithms, statistical modeling, and data visualization techniques.


• Problem-Solving: Ability to tackle ambiguous problems and develop innovative solutions in dynamic environments.


• Business Orientation: Strong ability to translate technical findings into actionable business recommendations.


• Communication: Excellent verbal and written communication skills with the ability to present to diverse audiences.


• Collaboration: Proven teamwork skills with the ability to work effectively across functional boundaries.


• Self-Direction: Ability to prioritize needs, manage multiple projects, and deliver results with minimal supervision.

Career Growth & Learning Opportunities

At arenaflex, we invest in our people and their professional development. As a Senior Data Scientist, you'll have access to:

• Advanced training and certification programs in cutting-edge data science and machine learning technologies.


• Mentorship from senior leaders and domain experts across the organization.


• Exposure to diverse business domains including retail, healthcare, pharmacy, and customer analytics.


• Clear career progression pathways into Principal Data Scientist, Data Science Manager, or specialized technical leadership roles.


• Internal mobility opportunities across different business units and geographic locations.


• Conference attendance and participation in industry-leading data science communities.

Work Environment & Culture

arenaflex fosters a collaborative, inclusive, and innovation-driven work environment. We believe that diverse perspectives drive better outcomes, and we're committed to building teams that reflect the communities we serve. Our hybrid work model offers flexibility, combining the best of in-person collaboration with remote work convenience. You'll be part of a dynamic team that values curiosity, continuous learning, and the pursuit of excellence.

Our Analytics Center of Excellence brings together talented professionals from diverse backgrounds, all united by a shared passion for using data to create meaningful impact. We maintain an agile, fast-paced culture that encourages experimentation and rewards innovative thinking. Regular knowledge-sharing sessions, hackathons, and cross-functional projects ensure you're constantly learning and growing.

Compensation & Benefits

arenaflex offers a comprehensive and competitive total rewards package designed to support your well-being, financial security, and professional growth. Our benefits include:

• Financial Security: Company-Paid Life Insurance, 401(k) Retirement Savings Plan with company matching, and Employee Stock Purchase Plan.


• Health & Wellness: Medical, Prescription Drugs, Dental, and Vision coverage for employees and their families.


• Time Off: Paid Time Off (PTO), Paid Holidays, and generous Paid Parental Leave (PPL) for new parents.


• Additional Perks: Transportation Benefit Plan, Employee Store Discount, and Voluntary Life & Personal Accident Insurance options.


• Professional Development: Tuition reimbursement and professional development opportunities.

Compensation will be competitive and commensurate with experience, skills, and qualifications. We conduct regular market analyses to ensure our pay rates remain competitive within the industry.

Join Our Team

Are you ready to apply your expertise in data science and machine learning to drive real-world impact? Do you thrive in collaborative environments where your analytical skills can make a meaningful difference? If so, we encourage you to apply for this exciting opportunity at arenaflex.

By joining our team, you'll become part of a purpose-driven organization that values innovation, diversity, and the transformative power of data. You'll work alongside talented professionals, tackle challenging problems, and contribute to solutions that improve the lives of millions of customers and patients every day.

We look forward to receiving your application and exploring how you can contribute to our continued success. Take the next step in your career and join the arenaflex team today!