Experienced Full Stack Data Entry Specialist – Healthcare and Retail Industry
Are you a detail-oriented and analytical individual with a passion for data entry and analysis? Do you have a strong background in computer science, statistics, or a related field? If so, we encourage you to apply for the Experienced Full Stack Data Entry Specialist position at arenaflex. As a key member of our team, you will play a vital role in supporting the growth and success of our retail pharmacy and healthcare business.
About arenaflex
arenaflex is a leading healthcare and retail company with a rich history of caring for communities. With a presence in over 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, we are proud to be a community health destination serving nearly 10 million customers every day. Our pharmacists play a critical role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that promote equitable access to care for the nation's medically underserved populations.
Job Responsibilities
As an Experienced Full Stack Data Entry Specialist at arenaflex, you will be responsible for:
- Building and maintaining complex data models and algorithms using technical expertise in machine learning, statistical modeling, and data analysis.
- Developing and implementing data-driven solutions to support business growth and improvement initiatives.
- Collaborating with cross-functional teams, including finance, research, software development, and business leaders, to define product requirements and provide analytical support.
- Communicating complex technical information to non-technical stakeholders, including business clients and management teams.
- Utilizing cloud computing platforms, such as Azure/Databricks, to query and analyze large datasets.
- Designing and implementing data pipelines, data warehouses, and serving engines to support business intelligence and analytics.
- Working with machine learning frameworks, such as TensorFlow and PyTorch, to build predictive models and prescriptive solutions.
- Developing and maintaining software applications using programming languages, such as Python and PySpark.
- Collaborating with data scientists and engineers to design and implement data-driven solutions.
- Providing analytical support to business stakeholders, including data visualization, reporting, and insights.
Essential Qualifications
* Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or a related field.
- Minimum of 4 years of experience in data science, machine learning, or a related field.
- Advanced degree in a STEM field, such as a Master's or Ph.D.
- At least 4 years of experience working with large-scale, complex datasets to create and optimize machine learning models.
- Advanced experience in SQL, Python, PySpark, or other programming languages.
- Experience with exploratory data analysis, feature engineering, and selection, pattern detection, distribution analysis, visualization, and insight extraction.
- Experience with supervised and unsupervised machine learning techniques, including choice trees, regression, XGBoost, K-means, and anomaly detection.
Preferred Qualifications
* Ph.D. in a STEM field, such as Computer Science, Statistics, or Mathematics.
- Experience working with IoT and Edge AI.
- Experience in Reinforcement Learning.
- Experience in Healthcare.
Benefits
* Company-paid life insurance
- Medical, prescription drugs, dental, and vision insurance
- 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 and personal accident insurance
Why Join arenaflex?
At arenaflex, we are committed to creating a culture of innovation, collaboration, and growth. We offer a dynamic and supportive work environment, with opportunities for professional development and career advancement. Our team is passionate about making a difference in the lives of our customers and communities, and we are excited to welcome talented individuals like you to our team.
Ready to Apply?
If you are a motivated and detail-oriented individual with a passion for data entry and analysis, we encourage you to apply now! We are excited to review your application and discuss how you can contribute to the success of our team. Apply for this job