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

Introduction to blithequark and the Industry blithequark is a leading integrated healthcare, pharmacy, and retail company with a rich history of caring for communities. With a strong presence in the U.S. retail pharmacy and healthcare segments, blithequark operates nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands. As a community health destination, blithequark serves almost 10 million customers daily, providing a wide range of pharmacy and healthcare services.The company's mission is to create more joyful lives through better health, and it is committed to delivering high-quality services and products to communities nationwide. Job OverviewTheSenior Data Scientist role at blithequark is a critical position that requires advanced expertise in data science, machine learning, and predictive analytics. As aSenior Data Scientist, you will be responsible for applying complex data science techniques to provide insights and actionable recommendations, as well as offering consulting support for program development and cross-functional initiatives.Your primary goal will be to drive business growth and improvement through data-driven decision-making, leveraging your technical expertise and business acumen to deliver high-impact results. Key Responsibilities Build 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. Understand the business context behind large datasets and develop meaningful analytic solutions, applying analytical rigor and statistical techniques to analyze large quantities of data.Program using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, and other relevant tools, performing machine learning techniques, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions. Build algorithms like decision trees, regression, XGBoost, K-means, and anomaly detection, utilizing Cloud Computing on Azure/Databricks and querying in Snowflake. Collaborate 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 teams with diverse levels of technical expertise.Essential Qualifications To be successful in this role, you will need to possess a combination of technical, business, and interpersonal skills. The essential qualifications for this position include: 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 these fields. M.S. in STEM, computer science, data systems, physics, mathematics, statistics, data science, machine learning, or a similar field.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, as well as advanced degree skills 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. Preferred Qualifications In addition to the essential qualifications, the following preferred qualifications will be considered an asset: Ph.D.in STEM, computer science, data systems, physics, mathematics, statistics, data science, machine learning, or a similar field. Experience working with IoT and Edge AI, as well as Reinforcement Learning and Healthcare, is a plus. Skills and Competencies To excel in this role, you will need to possess a range of technical, business, and interpersonal skills, including:Advanced expertise in machine learning, statistical modeling, and predictive analytics. Strong programming skills in Python, PySpark, and other relevant tools.Experience with Cloud Computing, distributed computing, data pipelines, cloud data stores, and serving engines. Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to non-experts. Strong business acumen and ability to drive business growth through data-driven decision-making. Career Growth Opportunities and Learning Benefits At blithequark, we are committed to supporting the career growth and development of our employees. As aSenior Data Scientist, you will have access to a range of learning and development opportunities, including:Professional development training and workshops.Mentorship and coaching from experienced leaders. Opportunities for career advancement and growth within the company. Work Environment and Company Culture blithequark is a dynamic and innovative company that values diversity, equity, and inclusion. Our company culture is built on a foundation of respect, empathy, and collaboration, and we are committed to creating a positive and supportive work environment for all employees. As aSenior Data Scientist, you will be part of a talented and dedicated team that is passionate about driving business growth and improvement through data-driven decision-making.Compensation, Perks, and Benefits blithequark offers a competitive compensation package, including a salary range of $30-45 per hour, as well as a range of perks and benefits, such as: 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 science professional looking for a challenging and rewarding role, we encourage you to apply for theSenior Data Scientist position at blithequark.With its rich history, strong values, and commitment to diversity, equity, and inclusion, blithequark is an ideal place to build a successful and fulfilling career. to join our talented team and contribute to driving business growth and improvement through data-driven decision-making.