Experienced Senior Data Scientist – Advanced Data Analytics, Predictive Modeling, and Machine Learning Expertise for Strategic Business Growth at arenaflex

Introduction to arenaflex and the Role arenaflex is a leading organization in the healthcare and retail industry, dedicated to creating more satisfied lives through better health. With a rich history of caring for communities, arenaflex operates nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands. As a Senior Data Scientist at arenaflex, you will play a vital role in driving business growth and informed decision-making through advanced data analytics, predictive modeling, and machine learning techniques. Job Responsibilities As a Senior Data Scientist, you will be responsible for applying complex data science, predictive analytics, and machine learning strategies to provide insights and actionable recommendations. Your key responsibilities will include: Building models and tools using technical expertise in machine learning, statistical modeling, risk and decision theory, and other quantitative methods Innovating by adapting to new modeling techniques and procedures Understanding the business context behind large datasets and developing meaningful analytic solutions Applying 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 Programming using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc. Performing machine learning techniques, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases Building algorithms like decision trees, regression, XGBoost, K means, and anomaly detection Utilizing Cloud Computing on Azure/Databricks, querying in Snowflake Utilizing software tools and methodologies GitHub, Continuous integration and delivery, agile methodologies Collaborating with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support Communicating 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 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 Experience in Reinforcement Learning Experience in Healthcare Skills and Competencies To succeed in this role, you will need to possess: Strong technical skills in data science, machine learning, and programming languages such as Python, PySpark, and SQL Excellent analytical and problem-solving skills, with the ability to extract insights from complex data sets Effective communication and collaboration skills, with the ability to work with diverse stakeholders and communicate technical concepts to non-experts Strong business acumen, with the ability to understand the business context and develop solutions that drive business growth Ability to work in a dynamic environment, with the ability to prioritize needs and deliver results in a fast-paced setting 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 access to: Ongoing training and development opportunities, including workshops, conferences, and online courses Mentorship and coaching from experienced data scientists and leaders Opportunities to work on high-impact projects, driving business growth and informed decision-making A collaborative and dynamic work environment, with a team of experienced data scientists and professionals Work Environment and Company Culture At arenaflex, we pride ourselves on our company culture, which is built on the values of: Integrity, with a commitment to doing what is right and ethical Respect, with a focus on valuing and appreciating diversity and individuality Collaboration, with a emphasis on teamwork and partnership Innovation, with a focus on driving growth and improvement through creative solutions Compensation, Perks, and Benefits As a Senior Data Scientist at arenaflex, you will be eligible for a competitive salary range of $30-45 per hour, as well as a comprehensive benefits package, including: 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 to drive business growth and informed decision-making through advanced data analytics, predictive modeling, and machine learning techniques, we encourage you to apply for this exciting opportunity at arenaflex. With a competitive salary range, comprehensive benefits package, and opportunities for growth and development, this is an ideal role for someone looking to take their career to the next level. Apply for this job