At arenaflex, we are seeking an experienced and highly skilled Full Stack Data Scientist to join our team of innovative professionals. As a Senior Data Scientist, you will play a critical role in driving business growth and improvement through the application of advanced data science, predictive analytics, and machine learning techniques.
**About arenaflex**
arenaflex is a leading healthcare and retail company 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 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 Senior Data Scientist at arenaflex, you will be responsible for:
* Building and deploying advanced machine learning models using technical expertise in data science, statistical modeling, and quantitative techniques.
* Innovating through the adaptation of new modeling strategies and procedures to drive business growth and improvement.
* Understanding the business context behind large datasets and developing significant analytic solutions to drive informed decision-making.
* Applying analytical rigor and statistical techniques to research large datasets, using advanced statistical strategies such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining.
* Building and optimizing algorithmic designs, performing data retrieval, complexity analysis, and medical 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 other cloud-based platforms.
* 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 diverse levels of technical expertise, educating them about our systems, and sharing insights and recommendations.
**Essential Qualifications**
* Bachelor's degree in a relevant field, such as data science, computer science, statistics, mathematics, or a related field.
* At least 4 years of experience in data science, machine learning, or a related field, with a strong background in programming languages such as Python, PySpark, and SQL.
* 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 decision trees, regression, XGBoost, K means, and anomaly detection.
* Experience with cloud computing platforms, such as Azure/Databricks, and querying in Snowflake.
* Experience with software tools and methodologies, such as GitHub, Continuous Integration and Delivery, and Agile Methodologies.
* Strong communication and collaboration skills, with the ability to work with diverse teams and stakeholders.
**Preferred Qualifications**
* Ph.D. in a relevant field, such as data science, computer science, statistics, mathematics, or a related field.
* Experience working with IoT and Edge AI is a plus.
* Experience in Reinforcement Learning is a plus.
* Experience in Healthcare is a plus.
**Career Growth Opportunities and Learning Benefits**
At arenaflex, we believe in investing in our employees' growth and development. As a Senior Data Scientist, you will have opportunities to:
* Work on high-impact projects that drive business growth and improvement.
* Collaborate with a diverse team of professionals, including data scientists, software developers, and business leaders.
* Develop your skills and expertise through training and development programs, conferences, and workshops.
* Contribute to the development of new technologies and methodologies that drive innovation and growth.
**Work Environment and Company Culture**
arenaflex is a dynamic and innovative company that values diversity, equity, and inclusion. We offer a collaborative and supportive work environment that encourages creativity, experimentation, and learning. Our company culture is built on a foundation of trust, respect, and open communication.
**Compensation, Perks, and Benefits**
arenaflex offers a competitive compensation package, including:
* Salary range: $30-45/hour
* 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 for a challenging and rewarding role, we encourage you to apply. Please submit your resume and a cover letter explaining why you are a strong fit for this role.
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