**Experienced Full Stack Data Entry Professional – Web & Cloud Application Development**

Are you a detail-oriented and analytical individual with a passion for data-driven insights? Do you want to join a dynamic team that values innovation and collaboration? Look no further! blithequark is seeking an experienced Full Stack Data Entry Professional to join our team of experts in web and cloud application development. **About blithequark** blithequark is a leading healthcare, pharmacy, and retail company with a 170-year history of caring for communities. Our mission is to create more joyful lives through better health. With almost 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, we serve 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 the nation's medically underserved populations. **Job Responsibilities** As a Full Stack Data Entry Professional at blithequark, you will be responsible for: * Building models and tools using technical expertise in machine learning, statistical modeling, probability and decision theory, and other quantitative methods. Innovate by adapting to new modeling techniques and procedures. * Understanding the business context behind large datasets and developing significant analytical solutions. * Applying analytical rigor and statistical techniques to analyze large datasets, using advanced statistical methods including 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 medical computing. * Programming using a tech stack including Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc. * Performing machine learning strategies, 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. Interpretable ML, Bayesian theory, etc. * Utilizing Cloud Computing on Azure/Databricks, querying in Snowflake. * Utilizing software tools and methodologies including 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 varying levels of technical expertise, educating them about our systems, as well as sharing insights and recommendations. **Essential Qualifications** * Bachelor's degree and a minimum of 4 years of experience in data science, machine learning, quantitative or computational skills OR High School/GED and a minimum of 7 years of experience in data science, machine learning, quantitative or computational skills. * M.S. in STEM, PC science, statistics 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 help businesses make informed data-driven decisions. * Experience using decision trees, and building classifiers. * 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). * 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 efficiently communicating technical solutions and advocating to data scientists, engineering teams, and business audiences. * At least 2 years of experience contributing to business decisions in the workplace. * At least 2 years of direct management, indirect management, and/or cross-functional team management. * Willing to travel up to/at least 10% of the time for business purposes (within the country and out of the country). **Preferred Qualifications** * Ph.D. in STEM, PC science, statistics 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. **Benefits** * 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 **Why Join blithequark?** At blithequark, we offer a dynamic and supportive work environment that values innovation, collaboration, and continuous learning. Our team is passionate about creating more joyful lives through better health, and we're committed to making a positive impact in our communities. As a Full Stack Data Entry Professional, you'll have the opportunity to work on exciting projects, develop your skills, and contribute to our mission. **Ready to Apply?** If you're a detail-oriented and analytical individual with a passion for data-driven insights, we want to hear from you! Apply now to join our team of experts in web and cloud application development. Apply To This Job Apply for this job