Experienced Full Stack Data Scientist – Web & Cloud Application Development

Join arenaflex, a leading healthcare and retail company, in shaping the future of data-driven decision making.

About arenaflex

arenaflex, a subsidiary of Walgreens Boots Alliance, Inc., is a healthcare, pharmacy, and retail leader with a 170-year 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, arenaflex is 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 Summary

We are seeking an experienced Full Stack Data Scientist to join our team at arenaflex. As a Senior Data Scientist, you will be responsible for leveraging complex advanced data science, predictive analytics, and machine learning techniques to provide insights and actionable recommendations, as well as offering consulting support for program improvement and strategic initiatives. You will work closely with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support.

Key Responsibilities

* Builds models and systems using technical expertise in machine learning, statistical modeling, probability 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 significant analytical solutions.
• Applies analytical rigor and statistical techniques to analyze large amounts of data, using advanced statistical methods including predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining. Builds suggestions and optimization algorithmic designs, performs data retrieval, complexity analysis, and clinical 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, educating them about our systems, as well as 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 skills OR High School/GED and a minimum of 7 years of experience in data science, machine learning, quantitative or computational skills.

• 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, studying distributions, visualizing results, and extracting insights to help businesses make 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/at least 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?

* Collaborate with a talented team of data scientists, researchers, and business leaders to drive business growth and innovation.

• Work on complex, high-impact projects that make a real difference in people's lives.
• Enjoy a dynamic, fast-paced work environment with opportunities for professional growth and development.
• Take advantage of our comprehensive benefits package, including paid time off, holidays, and a retirement savings plan.
• Be part of a company that is committed to creating more joyful lives through better health.

How to Apply

If you are a motivated and experienced data scientist looking for a new challenge, please submit your application through our website. We can't wait to hear from you! Apply Job! Apply for this job