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 critical role in helping us unlock the full potential of our data assets and drive business growth through advanced analytics and machine learning. If you're passionate about leveraging cutting-edge technologies to drive business outcomes, we want to hear from you.
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 a senior 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 deliver 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, through verbal and written presentations.
- Developing and maintaining large-scale data pipelines, including data retrieval, complexity analysis, and medical computing.
- Utilizing cloud computing platforms, such as Azure/Databricks, and querying tools, like Snowflake, to extract insights from complex data sets.
- Designing and implementing A/B experiments to drive business outcomes.
- Staying up-to-date with emerging trends and technologies in data science, including deep learning, natural language processing, and computer vision.
Essential Qualifications
* Bachelor's degree in a quantitative field, such as computer science, statistics, mathematics, or physics, or a related field.
- Minimum of 4 years of experience in data science, machine learning, or a related field, with a strong background in statistical modeling, data analysis, and programming.
- Advanced experience in SQL, Python, PySpark, or other programming languages.
- Experience with supervised and unsupervised machine learning techniques, including linear and logistic regression, decision trees, clustering, and anomaly detection.
- Experience with cloud-based data platforms, including cloud ML systems, distributed computing, and data pipelines.
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Preferred Qualifications
* Master's or Ph.D. in a quantitative field, such as computer science, statistics, mathematics, or physics.
- Experience with IoT and Edge AI.
- Experience in healthcare or a related field.
- Strong experience with deep learning, natural language processing, and computer vision.
What We Offer
* Competitive salary and benefits package, including medical, dental, and vision insurance, retirement savings plan, and paid time off.
- Opportunities for professional growth and development, including training and education programs.
- Collaborative and dynamic work environment, with a focus on innovation and experimentation.
- Recognition and rewards for outstanding performance and contributions to the team.
How to Apply
If you're a motivated and experienced data scientist looking to join a dynamic team, we encourage you to apply. Please submit your resume and a cover letter outlining your qualifications and experience. We can't wait to hear from you! Apply Now! Apply for this job