Experienced Full Stack Data Scientist – Advanced Analytics and Machine Learning Expert

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 critical role in helping us unlock the full potential of our data assets and drive business growth through advanced analytics and machine learning.

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'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 medically underserved populations.

Job Responsibilities

As an Experienced Full Stack Data Scientist at arenaflex, you'll be responsible for:

• Building and deploying advanced machine learning models using technical expertise in data science, predictive analytics, and device learning strategies to provide insights and actionable recommendations.
• 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, to educate them about our systems and share insights and recommendations.
• Developing and maintaining large-scale, complex datasets to create and optimize machine learning, predictive, forecasting, and/or optimization models.
• Utilizing cloud computing platforms, such as Azure/Databricks, and querying tools, like Snowflake, to analyze and process large datasets.
• Designing and implementing data pipelines, cloud data stores, and serving engines to support data-driven decision-making.
• Staying up-to-date with the latest advancements in machine learning, deep learning, and data science to innovate and adapt to new modeling strategies and procedures.

Essential Qualifications

* Bachelor's degree in a quantitative field, such as computer science, statistics, mathematics, or a related field, or a high school diploma/GED with at least 7 years of experience in data science, machine learning, or a related field.

• Master's degree in a STEM 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 and optimize machine learning, predictive, forecasting, and/or optimization models.
• Advanced experience in programming languages, such as 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 support business decision-making.

Preferred Qualifications

* Ph.D. in a STEM 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.

Skills and Competencies

* Advanced knowledge of machine learning algorithms, including choice trees, regression, XGBoost, K means, and anomaly detection.

• Experience with supervised and unsupervised learning techniques, including linear and logistic regression, time series modeling, generalized linear models, choice trees, support vector machines, and K means clustering.
• Experience with cloud computing platforms, such as Azure/Databricks, and querying tools, like Snowflake.
• Strong programming skills in languages, such as Python, PySpark, or other languages.
• Excellent communication and collaboration skills, with the ability to communicate complex technical concepts to non-technical stakeholders.
• Strong analytical and problem-solving skills, with the ability to extract insights from large datasets.

Work Environment and Company Culture

arenaflex is committed to creating a diverse and inclusive work environment that fosters innovation, collaboration, and growth. As a data scientist at arenaflex, you'll have the opportunity to work with a talented team of professionals who share your passion for data-driven decision-making. Our company culture values:

• Collaboration and teamwork
• Innovation and experimentation
• Continuous learning and professional development
• Diversity, equity, and inclusion
• Work-life balance and flexibility

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package, including:

• Base salary
• Bonus structure
• Comprehensive benefits package, including medical, dental, and vision insurance
• 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

Career Growth Opportunities and Learning Benefits

arenaflex is committed to supporting the growth and development of our employees. As a data scientist, you'll have access to:

• Ongoing training and professional development opportunities
• Mentorship and coaching from experienced data scientists
• Opportunities to work on high-impact projects and contribute to business growth
• Collaborative and dynamic work environment that fosters innovation and experimentation

How to Apply

If you're a seasoned data scientist with a passion for innovation and collaboration, we'd love to hear from you. Apply now to join our team and help us unlock the full potential of our data assets. Apply Job! Apply for this job