Introduction to arenaflex and the Industry
arenaflex is a leading integrated healthcare, pharmacy, and retail company with a rich history of caring for communities. With a mission to create more joyful lives through better health, arenaflex operates nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands. As a community health destination, arenaflex serves almost 10 million customers every day, providing a wide range of pharmacy and healthcare services. To deliver high-quality services and products, arenaflex offers a seamless omnichannel experience, with fully integrated physical and digital systems supported by cutting-edge technology.
Job Summary
We are seeking an experienced Senior Data Scientist to join our team at arenaflex. As a Senior Data Scientist, you will be responsible for applying advanced data science, predictive analytics, and machine learning techniques to provide insights and actionable recommendations. You will also offer consulting support for program development and cross-functional initiatives. If you have a passion for working with large-scale, complex datasets and creating optimized machine learning, predictive, forecasting, and/or optimization models, we encourage you to apply for this exciting opportunity.
Key Responsibilities
- Build models and tools using technical expertise in machine learning, statistical modeling, risk and decision theory, and other quantitative methods.
- Innovate by adapting to new modeling techniques and procedures.
- Understand the business context behind large datasets and develop meaningful analytic solutions.
- Apply analytical rigor and statistical techniques to analyze large quantities of data, using advanced statistical methods such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining.
- Build recommendations and optimization algorithmic designs, perform data retrieval, complexity analysis, and scientific computing.
- Program using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
- Perform machine learning techniques, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases.
- Build algorithms like decision trees, regression, XGBoost, K means, and anomaly detection. Interpretable ML, Bayesian theory, etc.
- Utilize Cloud Computing on Azure/Databricks, querying in Snowflake.
- Utilize software tools and methodologies GitHub, Continuous integration and delivery, agile methodologies.
- Collaborate with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support.
- Communicate verbally and in writing to business clients and management team with diverse levels of technical expertise, educating them about our systems, as well as sharing insights and recommendations.
Essential Qualifications
To be successful in this role, you should have:
- A Bachelor's degree and a minimum of 4 years of experience in data science, machine learning, quantitative or computational capabilities OR High School/GED and a minimum of 7 years of experience in data science, machine learning, quantitative or computational capabilities.
- An M.S. in STEM, PC science, data systems, physics, mathematics, statistics, data science, machine learning, or similar.
- At least 4 years of experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models.
- Advanced experience in SQL, Python, PySPark or other languages.
- Advanced degree skill in exploratory data analysis, feature engineering and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to assist businesses in making informed data-driven decisions.
- Experience using decision trees, and building classifiers.
- Experience with supervised learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised learning techniques (K means, hierarchical clustering, association rules, principal components).
- Experience with Cloud ML systems, distributed computing, data pipelines, cloud data stores and serving engines.
- Experience designing and analyzing A/B experiments.
- Advanced degree skill in conveying rigorous technical standards and issues to non-experts.
- Experience working in dynamic environments and working with ambiguity, prioritizing needs, and delivering results.
- Experience effectively communicating technical solutions and advocating to research scientists, engineering teams and business audiences.
- At least 2 years of experience contributing to financial decisions in the workplace.
- At least 2 years of direct management, indirect management and/or cross-functional team management.
- Willingness to travel up to/as a minimum of 10% of the time for business purposes (within the country and abroad).
Preferred Qualifications
While not required, the following qualifications are preferred:
- A Ph.D. in STEM, PC science, data systems, physics, mathematics, statistics, data science, machine learning, or similar.
- Experience working with IoT, and Edge AI is a plus.
- Experience in Reinforcement Learning is a plus.
- Experience in Healthcare is a plus.
Skills and Competencies
To succeed in this role, you should possess:
- Strong technical skills in machine learning, data science, and programming languages such as Python, PySpark, and SQL.
- Excellent analytical and problem-solving skills, with the ability to work with large-scale, complex datasets.
- Strong communication and collaboration skills, with the ability to effectively communicate technical solutions and insights to non-technical stakeholders.
- Ability to work in a dynamic environment, prioritizing needs and delivering results in a fast-paced setting.
- Strong business acumen, with the ability to understand the business context behind large datasets and develop meaningful analytic solutions.
Career Growth Opportunities and Learning Benefits
At arenaflex, we are committed to the growth and development of our employees. As a Senior Data Scientist, you will have opportunities to:
- Work on complex and challenging projects, developing and applying advanced data science and machine learning techniques.
- Collaborate with cross-functional teams, including finance, research, and software development.
- Develop and maintain technical expertise in machine learning, data science, and programming languages.
- Participate in training and development programs, including conferences, workshops, and online courses.
- Contribute to the development of new products and services, using data-driven insights to inform business decisions.
Work Environment and Company Culture
At arenaflex, we value diversity, equity, and inclusion, and are committed to creating a workplace culture that is welcoming and inclusive to all employees. We offer a dynamic and supportive work environment, with opportunities for collaboration, growth, and development. Our company culture is built on a foundation of:
- Respect and empathy for our customers, patients, and employees.
- A commitment to diversity, equity, and inclusion, with a focus on creating a workplace culture that is welcoming and inclusive to all employees.
- A passion for innovation and excellence, with a focus on developing and applying advanced data science and machine learning techniques to drive business insights and decision making.
- A focus on community and social responsibility, with a commitment to creating more joyful lives through better health.
Compensation, Perks, and Benefits
At arenaflex, we offer a competitive compensation package, including:
- A salary range of $30-45 per hour.
- Company-paid life insurance.
- Medical, prescription drugs, dental, and vision benefits.
- Retirement savings plan – 401(k).
- 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.
Conclusion
If you are a motivated and experienced data scientist, with a passion for working with large-scale, complex datasets and developing optimized machine learning, predictive, forecasting, and/or optimization models, we encourage you to apply for this exciting opportunity at arenaflex. As a Senior Data Scientist, you will have the opportunity to work on complex and challenging projects, develop and apply advanced data science and machine learning techniques, and contribute to the growth and development of our business. Apply now to join our team and take the first step towards a rewarding and challenging career at arenaflex.
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