Introduction to arenaflex
arenaflex is a leading integrated healthcare, pharmacy, and retail company with a rich history of caring for communities. Our mission is to create more joyful lives through better health. With a strong presence in the industry, we operate nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, serving almost 10 million customers daily. At arenaflex, we pride ourselves on being a community health destination, providing a wide range of pharmacy and healthcare services, including those that drive equitable access to care for medically underserved populations.
Job Overview
We are seeking an experienced Senior Data Scientist to join our team at arenaflex. As a Senior Data Scientist, you will be responsible for applying advanced data science, predictive analytics, and machine learning techniques to provide insights and actionable recommendations, as well as offering consulting support for program development and cross-functional initiatives. This is a remote job opportunity, allowing you to work from the comfort of your own space while contributing to the growth and success of arenaflex.
Key Responsibilities
- Builds models and tools using technical expertise in machine learning, statistical modeling, risk and decision theory, and other quantitative methods. Innovates by adapting to new modeling techniques and procedures.
- Understands the business context behind large datasets and develops meaningful analytic solutions.
- Applies analytical rigor and statistical techniques to analyze large quantities of data, using advanced statistical methods, including predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining. Builds recommendations and optimization algorithmic designs, performs data retrieval, complexity analysis, and scientific computing.
- Programs using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
- Performs machine learning techniques, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases.
- Builds algorithms like decision trees, regression, XGBoost, K means, and anomaly detection. Interpretable ML, Bayesian theory, etc.
- Utilizes Cloud Computing on Azure/Databricks, querying in Snowflake.
- Utilizes software tools and methodologies GitHub, Continuous integration and delivery, agile methodologies.
- Collaborates with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support.
- Communicates verbally and in writing to business clients and management team with diverse levels of technical expertise, instructing them about our systems, as well as sharing insights and recommendations.
Essential Qualifications
To be successful in this role, you should have:
- A Bachelor's degree and a minimum of 4 years of experience in data science, machine learning, quantitative, or computational capabilities OR High School/GED and a minimum of 7 years of experience in data science, machine learning, quantitative, or computational capabilities.
- An M.S. in STEM, PC science, data systems, physics, mathematics, statistics, data science, machine learning, or similar.
- At least 4 years of experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models.
- Advanced experience in SQL, Python, PySpark, or other languages.
- Advanced degree skill in exploratory data analysis, feature engineering, and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to support businesses in making informed data-driven decisions.
- Experience using decision trees and building classifiers.
Preferred Qualifications
While not required, the following qualifications are preferred:
- A Ph.D. in STEM, PC science, data systems, physics, mathematics, statistics, data science, machine learning, or similar.
- Experience working with IoT and Edge AI is a plus.
- Experience in Reinforcement Learning is a plus.
- Experience in Healthcare is a plus.
Career Growth Opportunities and Learning Benefits
At arenaflex, we are committed to the growth and development of our employees. As a Senior Data Scientist, you will have access to various training and development programs, including:
- Opportunities to work on complex and challenging projects, developing your skills and expertise in data science and machine learning.
- Collaboration with cross-functional teams, including finance, research, and software development, to drive business growth and innovation.
- Access to cutting-edge technologies and tools, including cloud computing, machine learning frameworks, and data analytics platforms.
- Professional development opportunities, including conferences, workshops, and training sessions, to stay up-to-date with the latest trends and advancements in data science and machine learning.
Work Environment and Company Culture
At arenaflex, we pride ourselves on our dynamic and inclusive work environment. As a remote employee, you will be part of a distributed team, collaborating with colleagues from diverse backgrounds and locations. Our company culture is built on the values of:
- Integrity: We operate with transparency, honesty, and ethics in all our interactions.
- Respect: We value diversity, inclusivity, and respect for all individuals, regardless of their background, culture, or perspective.
- Innovation: We encourage creativity, experimentation, and innovation, embracing new ideas and approaches to drive business growth and success.
- Accountability: We take ownership of our actions, decisions, and outcomes, striving for excellence and continuous improvement.
Compensation, Perks, and Benefits
At arenaflex, we offer a competitive compensation package, including:
- Company-Paid Life Insurance
- Medical, Prescription Drugs, Dental, and Vision
- Retirement Savings Plan – 401(k)
- Employee Stock Purchase Plan
- Paid Time Off (PTO)
- Holidays
- Paid Parental Leave (PPL)
- Transportation Benefit Plan
- Employee Store Discount
- Voluntary Life & Personal Accident Insurance
Conclusion
If you are a motivated and experienced data scientist looking for a challenging and rewarding role, we encourage you to apply for this opportunity at arenaflex. As a Senior Data Scientist, you will be part of a dynamic team, driving business growth and innovation through advanced data science and machine learning techniques. Apply now to join our team and take the first step towards a fulfilling and successful career at arenaflex.
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