Introduction to arenaflex and the Industry
arenaflex is a leading integrated healthcare, pharmacy, and retail company with a 170-year history of caring for communities. Our mission is to create more joyful lives through better health. Operating nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, arenaflex is proud to be a community health destination serving almost 10 million customers every day. As a Senior Data Scientist at arenaflex, you will play a vital role in driving business growth and improving customer experiences through advanced data analytics and machine learning techniques.
Job Summary
The Senior Data Scientist is responsible for applying complex advanced data science, predictive analytics, and machine learning techniques to provide insights and actionable recommendations, as well as providing consulting support for program development and cross-functional initiatives. This is a remote opportunity, and we are looking for a highly skilled and experienced data scientist to join our team.
Key Responsibilities
- Builds models and systems 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.
About arenaflex
arenaflex is a community health destination serving almost 10 million customers every day. Our pharmacists play a vital role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that drive equitable access to care for the nation's medically underserved populations. To best meet the needs of customers and patients, arenaflex provides a true omnichannel experience, with fully integrated physical and digital platforms supported by state-of-the-art technology to deliver high-quality services and products in communities nationwide.
Essential Qualifications
- 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.
- 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.
- 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).
- Experience with Cloud ML systems, distributed computing, data pipelines, cloud data stores and serving engines.
- Experience designing and analyzing A/B experiments.
- Advanced degree skill in conveying rigorous technical standards and issues to non-experts.
- Experience working in dynamic environments and working with ambiguity, prioritizing needs, and delivering results.
- Experience effectively communicating 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 management.
- Willing to travel up to/as a minimum of 10% of the time for business purposes (within the country and out of the country).
Preferred Qualifications
- 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.
Skills and Competencies
To be successful in this role, you will need to possess excellent technical skills, including proficiency in programming languages such as Python, PySpark, and SQL. You will also need to have experience with machine learning techniques, including supervised and unsupervised learning, and be able to apply these techniques to large-scale datasets. Additionally, you will need to have excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
Career Growth Opportunities and Learning Benefits
At arenaflex, we are committed to helping our employees grow and develop in their careers. As a Senior Data Scientist, you will have the opportunity to work on complex and challenging projects, and to develop your skills and expertise in areas such as machine learning, data analytics, and cloud computing. You will also have access to training and development programs, including workshops, conferences, and online courses, to help you stay up-to-date with the latest technologies and techniques in the field.
Work Environment and Company Culture
arenaflex is a dynamic and fast-paced work environment that is committed to innovation and excellence. Our company culture is built on a foundation of respect, integrity, and teamwork, and we are dedicated to creating a workplace that is inclusive, diverse, and supportive of all employees. As a Senior Data Scientist at arenaflex, you will be part of a talented and dedicated team of professionals who are passionate about using data and analytics to drive business growth and improve customer experiences.
Compensation, Perks, and Benefits
arenaflex offers a competitive compensation package, including a salary range of $120,000 - $150,000 per year, depending on experience. We also offer a range of perks and benefits, 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 highly skilled and experienced data scientist who is passionate about using data and analytics to drive business growth and improve customer experiences, we encourage you to apply for this exciting opportunity at arenaflex. As a Senior Data Scientist, you will be part of a talented and dedicated team of professionals who are committed to innovation and excellence, and you will have the opportunity to work on complex and challenging projects that will help you grow and develop in your career. Apply now to join our team and take your career to the next level!
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