Senior Data Scientist - Healthcare Analytics & Machine Learning Specialist at arenaflex

About arenaflex: Pioneering Healthcare Innovation Through Data Science

arenaflex stands at the forefront of the healthcare revolution, leveraging cutting-edge data science and artificial intelligence to transform how healthcare is delivered, experienced, and improved. As a leader in integrated healthcare, pharmacy, and retail solutions, arenaflex is committed to creating more joyful lives through better health outcomes for communities nationwide. With a rich history spanning over 170 years, arenaflex has evolved from a traditional pharmacy to a comprehensive healthcare destination, serving millions of customers daily through our network of nearly 9,000 locations across America, Puerto Rico, and the U.S. Virgin Islands.

At arenaflex, we believe that data is the cornerstone of modern healthcare innovation. Our data science team plays a pivotal role in this transformation, developing sophisticated analytical solutions that empower healthcare professionals, improve patient outcomes, and optimize business operations. By joining our team, you'll have the opportunity to work on meaningful projects that directly impact the health and wellbeing of communities across the nation, all while advancing your career in one of the most exciting and rapidly evolving fields in healthcare technology.

The Opportunity: Senior Data Scientist Position

arenaflex is seeking a highly skilled and motivated Senior Data Scientist to join our dynamic data science team. This remote position offers an exceptional opportunity to apply your expertise in advanced data science, predictive analytics, and machine learning techniques to solve complex healthcare challenges. You will collaborate with cross-functional teams including healthcare professionals, software developers, business leaders, and researchers to develop innovative solutions that drive meaningful improvements in healthcare delivery, patient outcomes, and operational efficiency.

The ideal candidate will possess a strong foundation in statistical modeling, machine learning algorithms, and programming, coupled with the ability to translate complex data into actionable insights that inform strategic decision-making. You will work with massive, complex datasets to build predictive models, optimize processes, and identify patterns that can transform how healthcare is delivered and experienced.

Key Responsibilities

• Develop and implement sophisticated machine learning models using advanced statistical techniques, including predictive modeling, customer profiling, segmentation analysis, survey design, and data mining
• Create optimization algorithmic designs, perform data retrieval, complexity analysis, and scientific computing to address complex business challenges
• Program using a comprehensive tech stack including Python, PySpark, Matplotlib, TensorFlow, PyTorch, and other relevant frameworks
• Apply various machine learning techniques including supervised and unsupervised algorithms to build predictive and prescriptive models supporting diverse healthcare business use cases
• Build and refine algorithms such as decision trees, regression, XGBoost, K-means clustering, and anomaly detection methods
• Utilize interpretable machine learning techniques and Bayesian theory to develop transparent and explainable AI solutions
• Leverage cloud computing platforms including Azure and Databricks, with expertise in querying Snowflake for large-scale data processing
• Implement software engineering best practices using GitHub, Continuous Integration and Delivery (CI/CD), and agile methodologies
• Collaborate with finance, research, software development, and business leadership teams to define product requirements and provide analytical support
• Communicate complex technical concepts and analytical findings to diverse audiences, including healthcare professionals, business stakeholders, and executive leadership
• Translate business needs into data-driven solutions and communicate insights effectively across the organization

Qualifications

Basic Requirements

• Bachelor's degree in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, or related field with at least 4 years of professional experience OR High School/GED with a minimum of 7 years of relevant experience
• Master's degree in STEM, Computer Science, Information Systems, Physics, Mathematics, Statistics, Data Science, Machine Learning, or related field preferred
• At least 4 years of experience working with large-scale, complex datasets to create and optimize machine learning, predictive, forecasting, and optimization models
• Advanced proficiency in SQL, Python, PySpark, or other relevant programming languages
• Expertise in exploratory data analysis, feature engineering and selection, pattern detection, distribution analysis, result visualization, and insight extraction
• Experience building decision trees and classifiers
• Hands-on 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 analysis)
• Experience with Cloud ML platforms, distributed computing, data pipelines, cloud data stores, and serving engines
• Experience designing and analyzing A/B experiments
• Advanced ability to communicate rigorous technical concepts and issues to non-experts
• Experience working in dynamic environments with ambiguity, effectively prioritizing needs and delivering results
• Experience successfully presenting technical solutions and advocating to research scientists, engineering teams, and business audiences
• At least 2 years of experience contributing to financial decisions in the workplace
• At least 2 years of direct management, indirect management, and/or cross-functional team leadership experience
• Willingness to travel up to 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 related field
• Experience working with Internet of Things (IoT) and Edge AI technologies
• Experience in Reinforcement Learning
• Experience in healthcare domain or healthcare analytics

Skills and Competencies

Successful candidates for this position at arenaflex will demonstrate a unique combination of technical expertise, analytical thinking, and communication skills. The ideal candidate will be comfortable working with large, complex datasets and translating them into actionable insights that drive business value and improve healthcare outcomes. Strong problem-solving abilities, attention to detail, and a passion for continuous learning are essential for success in this role.

Technical competencies should include proficiency in machine learning algorithms, statistical modeling, and programming languages such as Python and SQL. Experience with cloud platforms, distributed computing, and data engineering best practices is highly valued. Additionally, the ability to communicate complex technical concepts to non-technical stakeholders and effectively collaborate with cross-functional teams is critical for success in this position.

Career Growth and Development

arenaflex is committed to the professional growth and development of our employees. As a Senior Data Scientist, you will have access to numerous opportunities for advancement, including:

• Continuous learning through workshops, conferences, and specialized training programs
• Mentorship from senior data scientists and industry experts
• Opportunities to lead data science initiatives and mentor junior team members
• Exposure to cutting-edge technologies and methodologies in healthcare analytics
• Clear career progression paths to senior technical or leadership roles

Work Environment and Culture

At arenaflex, we foster a collaborative, innovative, and inclusive work environment where diverse perspectives are valued and employees are empowered to make meaningful contributions. Our remote-first approach offers flexibility while maintaining strong connections through regular team meetings, virtual collaboration tools, and periodic in-person gatherings.

We believe in work-life balance and offer flexible scheduling to accommodate personal needs and professional responsibilities. Our culture is built on trust, transparency, and mutual respect, with a focus on delivering exceptional results while maintaining the highest ethical standards.

Compensation, Benefits, and Perks

arenaflex offers a comprehensive compensation package designed to attract and retain top talent in the data science field. While specific compensation details will be discussed based on qualifications and experience, our total rewards package includes:

• Competitive salary with performance-based bonuses and incentives
• Company-Paid Life Insurance
• Comprehensive health benefits including Medical, Prescription Drugs, Dental, and Vision coverage
• Retirement Savings Plan with 401(k) contribution options
• Employee Stock Purchase Plan
• Paid Time Off (PTO) and holidays
• Paid Parental Leave (PPL)
• Transportation Benefit Plan
• Employee Store Discount program
• Voluntary Life & Personal Accident Insurance options
• Professional development stipend
• Home office equipment allowance
• Wellness programs and resources

Why Join arenaflex?

Joining arenaflex means becoming part of an organization that is genuinely transforming healthcare through the power of data and technology. You'll have the opportunity to work on meaningful projects that directly impact the health and wellbeing of communities across the nation. Our commitment to innovation, employee development, and ethical business practices creates an environment where data scientists can thrive professionally while making a positive social impact.

Our remote work structure offers the flexibility to excel from anywhere while remaining connected to a supportive and collaborative team. Whether you're early in your data science career or an experienced professional, arenaflex provides the platform, resources, and opportunities to advance your career while contributing to a mission that improves lives through better health outcomes.

How to Apply

If you're passionate about leveraging data science to transform healthcare and meet the qualifications for this position, we encourage you to apply. Join arenaflex in our mission to create more joyful lives through better health by bringing your expertise, creativity, and dedication to our innovative team.

To apply for this position, please submit your resume and a cover letter highlighting your experience in data science, machine learning, and healthcare analytics. We look forward to reviewing your application and potentially welcoming you to the arenaflex team.