Senior Data Scientist for Advanced Analytics and Machine Learning – Remote Opportunity at blithequark

Introduction to blithequark At blithequark, we are dedicated to creating a healthier and more sustainable future for our communities. As a leading organization in the healthcare and retail industry, we operate nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands. Our mission is to create more joyful lives through better health, and we are committed to providing a real omnichannel experience to our customers, with fully integrated physical and digital systems supported by the latest technology. Job Overview We are seeking an experienced Senior Data Scientist to join our team at blithequark. 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 opportunity, allowing you to work from anywhere and contribute to our mission of creating a healthier and more sustainable future. Key Responsibilities Build 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. Understand the business context behind large datasets and develop meaningful analytic solutions. Apply 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. Program using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc. Perform machine learning techniques, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases. Build algorithms like decision trees, regression, XGBoost, K means, and anomaly detection. Interpretable ML, Bayesian theory, etc. Utilize Cloud Computing on Azure/Databricks, querying in Snowflake. Utilize software tools and methodologies GitHub, Continuous integration and delivery, agile methodologies. Collaborate with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support. Communicate verbally and in writing to business stakeholders and management team with diverse 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 capabilities OR High School/GED and a minimum of 7 years of experience in data science, machine learning, quantitative or computational capabilities. M.S. in STEM, Computer 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, studying distributions, visualizing results, and extracting insights to assist 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 concepts 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 economic 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 abroad). Preferred Qualifications Ph.D. in STEM, Computer 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 blithequark, 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 in advanced data science and machine learning techniques. You will also have access to training and development programs, mentorship, and opportunities for career advancement. Work Environment and Company Culture At blithequark, we value diversity, equity, and inclusion, and we are committed to creating a workplace culture that is respectful, inclusive, and supportive of all employees. We offer a collaborative and dynamic work environment, with a focus on innovation, creativity, and teamwork. Our employees are passionate about making a difference in the lives of our customers and communities, and we are dedicated to creating a positive and meaningful work experience. Compensation, Perks, and Benefits We offer a competitive compensation package, including a salary range of $120,000 - $150,000 per year, depending on experience. We also offer a range of perks and benefits, 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 for a challenging and rewarding role, we encourage you to apply for this opportunity. As a Senior Data Scientist at blithequark, you will have the chance to make a real impact on the lives of our customers and communities, while developing your skills and advancing your career. Apply now to join our team and be a part of our mission to create a healthier and more sustainable future.