Job Description
At arenaflex, we're on a mission to revolutionize the way we approach data-driven decision-making. As a seasoned Full Stack Data Scientist, you'll play a pivotal role in harnessing the power of advanced analytics and machine learning to drive business growth and innovation. If you're passionate about leveraging complex data science techniques to uncover insights and create actionable recommendations, we want to hear from you. About arenaflex arenaflex is a leading healthcare and retail company with a rich history of caring for communities.
With a presence in over 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, we're proud to be a community health destination serving 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 medically underserved populations. To meet the needs of our customers and patients, we offer a seamless omnichannel experience, with fully integrated physical and digital platforms supported by cutting-edge technology to deliver high-quality services and products in communities nationwide.
Job Responsibilities As a Full Stack Data Scientist at arenaflex, you'll be responsible for: * Building and deploying complex models using technical expertise in machine learning, statistical modeling, and data science: Innovate by adapting to new modeling techniques and procedures, and develop significant analytic solutions to drive business growth and innovation. * Understanding the business context behind large datasets: Develop actionable recommendations and insights to inform business decisions, using advanced statistical techniques and data visualization tools.
* Applying analytical rigor and statistical techniques to analyze large datasets: Use predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining to build suggestions and optimization algorithmic designs, and perform data retrieval, complexity analysis, and clinical computing. * Programming using a tech stack that includes Python, PySpark, Matplotlib, TensorFlow, PyTorch, and more: Develop and deploy data science solutions that drive business outcomes, using a range of programming languages and tools.
* Performing data science techniques, including supervised and unsupervised algorithms to build predictive models and prescriptive solutions: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * Building algorithms like decision trees, regression, XGBoost, K means, and anomaly detection: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * Utilizing Cloud Computing on Azure/Databricks, querying in Snowflake: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools.
* Utilizing software tools and methodologies like GitHub, Continuous Integration and Delivery, and Agile Methodologies: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * Collaborating with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support: Work closely with cross-functional teams to develop and deploy data science solutions that drive business outcomes.
* Communicating verbally and in writing to business stakeholders and management teams with diverse levels of technical expertise: Develop and deploy data science solutions that drive business outcomes, using a range of communication techniques and tools. Essential Qualifications * Bachelor's degree and a minimum of 4 years of experience in data science, machine learning, quantitative or computational capabilities: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools.
* M.S. in STEM, PC science, statistics systems, physics, mathematics, statistics, data science, machine learning, or similar: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * At least 4 years of experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools.
* Advanced experience in SQL, Python, PySpark, or other languages: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * Advanced degree talent in exploratory data analysis, feature engineering, and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to support business decision-making: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools.
* Experience using decision trees, and building classifiers: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * Experience with supervised machine learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised machine learning techniques (K means, hierarchical clustering, association rules, principal components): Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools.
* Experience with Cloud ML systems, distributed computing, data pipelines, cloud data stores, and serving engines: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * Experience designing and analyzing A/B experiments: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * Advanced degree talent in conveying rigorous technical standards and issues to non-experts: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools.
* Experience working in dynamic environments and working with ambiguity, prioritizing needs, and delivering results: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * Experience effectively communicating technical solutions and advocating to data scientists, engineering teams, and business audiences: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * At least 2 years of experience contributing to business decisions in the workplace: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools.
* At least 2 years of direct management, indirect management, and/or cross-functional team management: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * Willing to travel up to at least 10% of the time for business purposes (within the country and out of the country): Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. Preferred Qualifications * Ph.D. in STEM, PC science, statistics systems, physics, mathematics, statistics, data science, machine learning, or similar: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools.
* Experience working with IoT, and Edge AI is a plus: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * Experience in Reinforcement Learning is a plus: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * Experience in Healthcare is a plus: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools.
Benefits * Company-Paid Life Insurance: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * Medical, Prescription Drugs, Dental, and Vision: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * Retirement Savings Plan – 401(k): Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * Employee Stock Purchase Plan: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools.
* Paid Time Off (PTO): Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * Holidays: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * Paid Parental Leave (PPL): Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * Transportation Benefit Plan: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools.
* Employee Store Discount: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. * Voluntary Life & Personal Accident Insurance: Develop and deploy data science solutions that drive business outcomes, using a range of data science techniques and tools. If you're a seasoned data scientist with a passion for driving business growth and innovation, we want to hear from you. to at arenaflex.