**Join arenaflex, a leading healthcare and retail company, in shaping the future of data-driven decision making.**
Are you a seasoned data scientist with a passion for leveraging complex data science, predictive analytics, and machine learning techniques to drive business growth and innovation? Do you thrive in a dynamic environment where no two days are the same? Look no further! arenaflex is seeking an experienced Full Stack Data Scientist to join our team of talented professionals in Florida, USA.
**About arenaflex**
arenaflex is a leading healthcare and retail company with a 170-year history of caring for communities. As a part of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), we are committed to creating more joyful lives through better health. With almost 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, we serve 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 medically underserved populations.
**Job Responsibilities**
As a Full Stack Data Scientist at arenaflex, you will be responsible for:
* Building and deploying complex data science models using technical expertise in machine learning, statistical modeling, and data engineering.
* Developing and implementing predictive analytics and data visualization 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 to non-technical stakeholders, including business clients and management teams.
* Staying up-to-date with the latest advancements in data science, machine learning, and cloud computing, and applying this knowledge to drive business value.
* Working in a dynamic environment with a high degree of ambiguity, prioritizing needs, and delivering results.
**Key Responsibilities:**
* Builds models and algorithms using technical expertise in machine learning, statistical modeling, and data engineering.
* Develops and implements predictive analytics and data visualization solutions to drive business growth and innovation.
* Collaborates with cross-functional teams to define product requirements and provide analytical support.
* Communicates complex technical concepts to non-technical stakeholders.
* Stays up-to-date with the latest advancements in data science, machine learning, and cloud computing.
* Works in a dynamic environment with a high degree of ambiguity.
**Essential Qualifications:**
* Bachelor's degree in a quantitative field, such as computer science, statistics, mathematics, or a related field.
* Minimum of 4 years of experience in data science, machine learning, or a related field.
* Advanced degree in a quantitative field, such as a Master's or Ph.D. in 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 talent 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 and unsupervised machine learning techniques, including choice trees, regression, XGBoost, K means, and anomaly detection.
* Experience with cloud computing on Azure/Databricks, querying in Snowflake, and utilizing software tools and methodologies, such as GitHub, Continuous Integration and Delivery, and Agile Methodologies.
**Preferred Qualifications:**
* Ph.D. in a quantitative 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.
**What We Offer:**
* Competitive salary range: $30-45/hour.
* Comprehensive benefits package, including 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 to join a dynamic team, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!
**Equal Employment Opportunity:**
arenaflex is an equal employment opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive work environment that values diversity, equity, and inclusion.
**Note:**
arenaflex is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive work environment that values diversity, equity, and inclusion.
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