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. As a Senior Data Scientist, you will be at the forefront of leveraging cutting-edge information science, predictive analytics, and machine learning techniques to drive business growth and improvement.

About arenaflex

arenaflex, a subsidiary of Walgreens Boots Alliance, Inc., is a 170-year-old healthcare, pharmacy, and retail leader dedicated to creating more joyful lives through better health. With a presence in over 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, arenaflex serves nearly 10 million customers daily. 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 a Senior Data Scientist at arenaflex, you will be responsible for:

• Building and deploying models and algorithms using technical expertise in machine learning, statistical modeling, and data science to provide insights and actionable recommendations.
• Innovating by adapting to new modeling techniques and procedures, and staying up-to-date with industry trends and advancements.
• Understanding the business context behind large datasets and developing significant analytic solutions to drive business growth and improvement.
• Applying analytical rigor and statistical techniques to research large datasets, using advanced statistical methods including predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining.
• Building suggestions and optimization algorithmic designs, performing data retrieval, complexity analysis, and clinical computing.
• Programming using a tech stack that includes Python, PySpark, Matplotlib, TensorFlow, PyTorch, and other relevant tools.
• Performing data science 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. Interpretable ML, Bayesian theory, and other advanced techniques.
• Utilizing Cloud Computing on Azure/Databricks, querying in Snowflake, and leveraging software tools and methodologies like 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 diverse levels of technical expertise, educating them about our systems, and sharing insights and recommendations.

About the Role

As a Senior Data Scientist at arenaflex, you will have the opportunity to work on a wide range of projects, from predictive modeling and data visualization to machine learning and natural language processing. You will be part of a dynamic team that is passionate about using data science to drive business growth and improvement. If you are a motivated and experienced data scientist looking for a new challenge, we encourage you to apply.

Basic Qualifications

* Bachelor's degree in a relevant field, such as computer science, statistics, mathematics, or a related field.

• A minimum of 4 years of experience in data science, machine learning, or a related field.
• Master's degree in a relevant field, such as computer science, statistics, mathematics, or a related field.
• At least 4 years of experience working with large-scale, complex datasets to create or optimize machine learning, predictive, forecasting, and/or optimization models.
• Advanced experience in SQL, Python, PySpark, or other programming languages.
• Advanced degree skills in exploratory data analysis, feature engineering, and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to support business decision-making.
• 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 skills in conveying rigorous technical standards and issues to non-experts.
• Experience working in a dynamic environment and working with ambiguity, prioritizing needs, and delivering results.
• Experience effectively 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.
• Willingness to travel up to 10% of the time for business purposes (within the country and internationally).

Preferred Qualifications

* Ph.D. in a relevant field, such as computer science, statistics, mathematics, or a related field.

• 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
• 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

How to Apply

If you are a motivated and experienced data scientist looking for a new challenge, we encourage you to apply. Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you! Apply for this job