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 pivotal role in shaping our analytics strategy and driving business growth through cutting-edge insights and predictive modeling. If you're passionate about harnessing the power of data to drive meaningful change, we want to hear from you.

About arenaflex

arenaflex is a leading healthcare and retail company with a rich history of innovation and customer-centricity. With a presence in over 9,000 locations across the United States, Puerto Rico, and the U.S. Virgin Islands, we're committed to creating more joyful lives through better health. Our pharmacists play a vital role in the U.S. healthcare system, providing a wide range of pharmacy and healthcare services that empower equitably underserved populations. To meet the evolving needs of our customers and patients, we've invested in a seamless omnichannel experience, combining physical and digital platforms with cutting-edge technology to deliver high-quality services and products nationwide.

Job Responsibilities

As a Senior Data Scientist at arenaflex, you'll be responsible for leveraging advanced data science, predictive analytics, and machine learning techniques to drive business growth and inform strategic decision-making. Your key responsibilities will include:

• Building and deploying complex machine learning models using technical expertise in device learning, statistical modeling, probability and decision theory, and other quantitative methods.
• Developing and maintaining large-scale data pipelines, data warehouses, and data lakes to support business intelligence and analytics initiatives.
• 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 and insights to non-technical stakeholders, including business leaders, product managers, and customers.
• Designing and implementing A/B experiments to measure the impact of business initiatives and inform data-driven decision-making.
• Staying up-to-date with emerging trends and technologies in data science, machine learning, and artificial intelligence, and applying this knowledge to drive innovation and improvement.

Essential Qualifications

* Bachelor's degree in a quantitative field, such as computer science, statistics, mathematics, or engineering, 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 data visualization.
• Advanced degree in a quantitative field, such as a Master's or Ph.D. in computer science, statistics, mathematics, or engineering.
• Proven experience working with large-scale datasets, including data preprocessing, feature engineering, and model deployment.
• Strong programming skills in languages such as Python, R, or SQL, with experience working with data science libraries and frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Experience with cloud-based data platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.

Preferred Qualifications

* Ph.D. in a quantitative field, such as computer science, statistics, mathematics, or engineering.

• Experience working with IoT, edge AI, or reinforcement learning.
• Experience in the healthcare industry, with a strong understanding of healthcare data and analytics.
• Strong experience with data visualization tools, such as Tableau, Power BI, or D3.js.
• Experience with agile development methodologies and continuous integration/continuous deployment (CI/CD) pipelines.

Benefits

* Competitive salary and bonus structure

• Comprehensive benefits package, including medical, dental, and vision insurance
• 401(k) retirement savings plan with company 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

Career Growth Opportunities

At arenaflex, we're committed to helping our employees grow and develop their careers. As a Senior Data Scientist, you'll have opportunities to:

• Work on high-impact projects that drive business growth and innovation
• Collaborate with cross-functional teams to develop and deploy data-driven solutions
• Stay up-to-date with emerging trends and technologies in data science and machine learning
• Participate in professional development programs and training initiatives
• Take on leadership roles and mentor junior team members

Work Environment and Company Culture

arenaflex is a dynamic and innovative company that values diversity, equity, and inclusion. We're committed to creating a work environment that's inclusive, supportive, and empowering. Our company culture is built on a foundation of:

• Collaboration and teamwork
• Innovation and experimentation
• Continuous learning and development
• Customer-centricity and empathy
• Diversity, equity, and inclusion

If you're passionate about data science and machine learning, and you're looking for a challenging and rewarding career opportunity, we want to hear from you. Apply now to join our team and help us drive business growth and innovation through data-driven insights. Apply for this job