Introduction to arenaflex
arenaflex is a leading integrated healthcare, pharmacy, and retail company with a rich history of caring for communities. Our mission is to create more joyful lives through better health. We operate nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, serving almost 10 million customers every day. At arenaflex, we are committed to providing a real omnichannel experience, with fully integrated physical and digital systems supported by cutting-edge technology to deliver high-quality services and products in communities nationwide.
Job Overview
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, as well as offering consulting support for program development and cross-functional initiatives. This is a remote job opportunity, allowing you to work from the comfort of your own home and collaborate with our team of experts to drive business growth and improvement.
Key Responsibilities
- Builds models and tools using technical expertise in machine learning, statistical modeling, risk and decision theory, and other quantitative methods. Innovates by adapting to new modeling techniques and procedures.
- Understands the business context behind large datasets and develops meaningful analytic solutions.
- Applies analytical rigor and statistical techniques to analyze large quantities of data, using advanced statistical methods including predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining. Builds recommendations and optimization algorithmic designs, performs data retrieval, complexity analysis, and scientific computing.
- Programs using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
- Performs machine learning techniques, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases.
- Builds algorithms like decision trees, regression, XGBoost, K means, and anomaly detection. Interpretable ML, Bayesian theory, etc.
- Utilizes Cloud Computing on Azure/Databricks, querying in Snowflake.
- Utilizes software tools and methodologies GitHub, Continuous integration and delivery, agile methodologies.
- Collaborates with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support.
- Communicates verbally and in writing to business clients and management team with diverse levels of technical expertise, instructing them about our systems, as well as sharing insights and recommendations.
Essential Qualifications
To be successful in this role, you will need:
- 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 support 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.
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 the opportunity to work on complex and challenging projects, collaborate with cross-functional teams, and develop your skills and expertise in data science and machine learning. You will also have access to training and development programs, mentorship, and career advancement opportunities.
Work Environment and Company Culture
arenaflex is a dynamic and innovative company that values diversity, equity, and inclusion. We are committed to creating a work environment that is supportive, collaborative, and inclusive, where all employees can thrive and grow. Our company culture is built on a foundation of respect, empathy, and open communication, and we strive to create a positive and productive work environment that supports the well-being and success of all employees.
Compensation, Perks, and Benefits
arenaflex offers a competitive compensation package, including a salary range that is commensurate with experience, as well as a comprehensive benefits package that includes:
- Company-Paid Life Insurance
- Medical, Prescription Drugs, Dental and Vision
- 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 & Personal Accident Insurance
Conclusion
If you are a motivated and experienced data scientist looking for a challenging and rewarding role, we encourage you to apply for this opportunity at arenaflex. As a Senior Data Scientist, you will have the opportunity to work on complex and challenging projects, collaborate with cross-functional teams, and develop your skills and expertise in data science and machine learning. Don't miss out on this opportunity to join our team and contribute to the growth and success of arenaflex. Apply now to join our team and take the first step towards a rewarding and challenging career as a Senior Data Scientist.
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