Experienced Full Stack Data Scientist – Web & Cloud Application Development
Join arenaflex, a leading healthcare and retail company, as a Senior Data Scientist to drive business growth and innovation through data-driven insights and actionable recommendations.
About arenaflex
arenaflex, a subsidiary of Walgreens Boots Alliance, Inc., is a healthcare, pharmacy, and retail leader with a 170-year history of caring for communities. Our mission is to create more joyful lives through better health. With 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 the nation's medically underserved populations.
Job Summary
We are seeking an experienced Full Stack Data Scientist to join our team in Florida, USA. As a Senior Data Scientist, you will be responsible for leveraging advanced data science, predictive analytics, and machine learning techniques to provide insights and actionable recommendations to drive business growth and innovation. You will work closely with cross-functional teams, including finance, researchers, software developers, and business leaders, to define product requirements and provide analytical support.
Key Responsibilities
* Build models and algorithms using technical expertise in machine learning, statistical modeling, and data analysis to provide insights and actionable recommendations.
- Develop and implement data-driven solutions to drive business growth and innovation.
- Collaborate with cross-functional teams to define product requirements and provide analytical support.
- Communicate complex technical concepts to non-technical stakeholders, including business leaders and customers.
- Work with large-scale, complex datasets to create and optimize machine learning, predictive, forecasting, and optimization models.
- Develop and implement data pipelines, data warehouses, and data visualization tools to support business decision-making.
- Stay up-to-date with emerging trends and technologies in data science, machine learning, and artificial intelligence.
Essential Qualifications
* Bachelor's degree in a quantitative field, such as computer science, statistics, mathematics, or a related field.
- At least 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.
- Experience working with large-scale, complex datasets to create and optimize machine learning, predictive, forecasting, and optimization models.
- Advanced experience in SQL, Python, PySpark, or other programming languages.
- Experience with cloud computing platforms, such as Azure or Databricks.
- Experience with data visualization tools, such as Matplotlib or Tableau.
- Strong communication and collaboration skills, with the ability to work with cross-functional teams.
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 technologies.
- Experience in Reinforcement Learning or other advanced machine learning techniques.
- Experience in the healthcare industry or related field.
Benefits
* Competitive salary range of $30-45/hour.
- Comprehensive benefits package, including medical, dental, and vision insurance.
- Retirement savings plan, including a 401(k) match.
- Employee stock purchase plan.
- Paid time off (PTO) and holidays.
- Paid parental leave (PPL).
- Transportation benefit plan.
- Employee store discount.
- Voluntary life and personal accident insurance.
What We Offer
* A dynamic and collaborative work environment with a team of experienced professionals.
- Opportunities for career growth and professional development.
- A comprehensive benefits package and competitive salary range.
- The chance to work on exciting and challenging projects that drive business growth and innovation.
- A commitment to diversity, equity, and inclusion, with a focus on creating a workplace that is welcoming and inclusive for all employees.
How to Apply
If you are a motivated and experienced data scientist looking for a new challenge, please submit your application through our website. We look forward to hearing from you!
Note:
arenaflex is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating a workplace that is inclusive and respectful of all employees, regardless of their background, culture, or identity. Apply for this job