Experienced Full Stack Data Scientist – Advanced Analytics and Machine Learning

At arenaflex, we're on a mission to revolutionize the way we approach data-driven decision-making. As a seasoned data scientist, you'll play a pivotal role in driving business growth and innovation through the application of advanced analytics and machine learning techniques. If you're passionate about leveraging data to tell compelling stories and drive meaningful change, we want to hear from you.

About arenaflex

arenaflex is a leading healthcare and retail organization 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'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 a Senior Data Scientist at arenaflex, you'll be responsible for:

• Building and deploying advanced machine learning models using technical expertise in device learning, statistical modeling, probability and decision theory, and other quantitative techniques.
• Developing and implementing data-driven solutions to drive business growth and innovation.
• Collaborating with cross-functional teams, including finance, research, software development, and business leaders, to define product requirements and provide analytical support.
• Communicating complex technical concepts and insights to non-technical stakeholders through clear and concise verbal and written communication.
• Staying up-to-date with the latest advancements in machine learning and data science, and applying this knowledge to drive business impact.

Key Responsibilities:

* Develop and deploy advanced machine learning models using Python, PySpark, Matplotlib, TensorFlow, PyTorch, and other relevant tools.

• Perform device learning strategies, including supervised and unsupervised algorithms, to build predictive models and prescriptive solutions.
• Build algorithms such as decision trees, regression, XGBoost, K means, and anomaly detection.
• Utilize Cloud Computing on Azure/Databricks, querying in Snowflake.
• Collaborate with cross-functional teams to define product requirements and provide analytical support.
• Communicate complex technical concepts and insights to non-technical stakeholders through clear and concise verbal and written communication.

Essential Qualifications

* Bachelor's degree and a minimum of 4 years of experience in data science, device learning, quantitative or computational capabilities OR High School/GED and a minimum of 7 years of experience in data science, device learning, quantitative or computational capabilities.

• M.S. in STEM, PC science, statistics systems, physics, mathematics, statistics, data science, device learning, or similar.
• At least 4 years of experience working with large-scale, complex datasets to create/optimize device learning, predictive, forecasting, and/or optimization models.
• Advanced experience in SQL, Python, PySpark, or other languages.
• Advanced degree talent in exploratory data analysis, feature engineering and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to assist businesses in making informed data-driven decisions.

Preferred Qualifications

* Ph.D. in STEM, PC science, statistics systems, physics, mathematics, statistics, data science, device learning, or similar.

• 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 & Personal Accident Insurance

If you're a motivated and experienced data scientist looking to join a dynamic team that's passionate about using data to drive business growth and innovation, we encourage you to apply. Apply for this job