Experienced Full Stack Data Entry Professional – Web & Cloud Application Development

At arenaflex, we're on a mission to revolutionize the way we approach data entry and web application development. As a leading healthcare and retail company, we're committed to delivering exceptional customer experiences and driving innovation in the industry. We're now seeking an experienced Full Stack Data Entry Professional to join our team and help us achieve our goals.

About arenaflex

arenaflex is a global healthcare and retail leader with a rich history of caring for communities. Our mission is to create more joyful lives through better health. With over 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, we're proud to be a community health destination serving nearly 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 promote equitable access to care for the nation's medically underserved populations.

Job Responsibilities

As an Experienced Full Stack Data Entry Professional, you'll be responsible for:

• Building models and tools using technical expertise in machine learning, statistical modeling, and other quantitative strategies
• Understanding the business context behind large datasets and developing significant analytic solutions
• Applying analytical rigor and statistical techniques to analyze large datasets, using advanced statistical methods such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining
• Programming using a tech stack that includes Python, PySpark, Matplotlib, TensorFlow, PyTorch, and other relevant tools
• Performing machine learning strategies, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases
• Building algorithms like decision trees, regression, XGBoost, K means, and anomaly detection
• Utilizing Cloud Computing on Azure/Databricks, querying in Snowflake
• Utilizing software tools and methodologies such as GitHub, Continuous Integration and Delivery, and Agile Methodologies
• Collaborating with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support
• Communicating verbally and in writing to business clients and management teams with varying levels of technical expertise, educating them about our systems, and sharing insights and recommendations

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, statistics 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 machine learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised machine 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 efficiently communicating technical solutions and advocating to data scientists, engineering teams, and business audiences
• At least 2 years of experience contributing to business 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, statistics 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

Benefits

* 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

Why Join arenaflex?

At arenaflex, we're committed to creating a culture that values diversity, equity, and inclusion. We believe that our differences are what make us stronger, and we're dedicated to fostering a workplace that's inclusive and welcoming to all. We offer a range of benefits and perks that support your physical, mental, and financial well-being, including:

• Competitive salary and bonus structure
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance
• Flexible work arrangements and remote work options
• Access to cutting-edge technology and tools
• Opportunities to work on high-impact projects and initiatives

How to Apply

If you're a motivated and talented individual who's passionate about data science and machine learning, we want to hear from you! Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you and explore how you can contribute to our mission at arenaflex.

Ready for an Easy Start?

This is a low-stress role with great rewards. If you're reliable and willing to learn, we want you. Apply now and take the first step towards a fulfilling career at arenaflex! Apply To This Job Apply for this job