Experienced Senior Data Scientist – Advanced Data Analysis, Predictive Analytics, and Machine Learning Expertise for Strategic Business Insights and Decision Making 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. Our mission is to create more joyful lives through better health, and we operate nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands. As a community health destination, we serve almost 10 million customers every day, providing a wide range of pharmacy and healthcare services. Our pharmacists play a vital role in the U.S. healthcare system, driving equitable access to care for medically underserved populations. To best 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 nationwide.

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. You will have the opportunity to work with large-scale, complex datasets to create and optimize machine learning, predictive, forecasting, and optimization models. If you have a passion for data analysis, machine learning, and driving business growth through data-driven insights, we encourage you to apply for this exciting role.

Key Responsibilities

• Builds models and tools using technical expertise in machine learning, statistical modeling, risk and decision theory, and other quantitative methods. Innovates by adapting to new modeling techniques and procedures.
• Understands the business context behind large datasets and develops meaningful analytic solutions.
• Applies 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. Builds recommendations and optimization algorithmic designs, performs data retrieval, complexity analysis, and scientific computing.
• Programs using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
• Performs machine learning techniques, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases.
• Builds algorithms like decision trees, regression, XGBoost, K means, and anomaly detection. Interpretable ML, Bayesian theory, etc.
• Utilizes Cloud Computing on Azure/Databricks, querying in Snowflake.
• Utilizes software tools and methodologies GitHub, Continuous integration and delivery, agile methodologies.
• Collaborates with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support.
• Communicates verbally and in writing to business clients and management team with diverse levels of technical expertise, instructing 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 fields OR High School/GED and a minimum of 7 years of experience in data science, machine learning, quantitative or computational fields.
• 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 is a plus.
• Experience in Reinforcement Learning is a plus.
• Experience in Healthcare is a plus.

Skills and Competencies

To succeed in this role, you will need to possess the following skills and competencies:

• 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 cross-functional teams and communicate technical concepts to non-technical stakeholders.
• Strong business acumen, with the ability to understand the business context and develop solutions that drive business growth.
• Ability to work in a fast-paced environment, with multiple priorities and deadlines.

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 access to a range of career growth opportunities and learning benefits, including:

• Professional development programs, such as training and certification courses, to help you enhance your skills and knowledge.
• Mentorship and coaching from experienced leaders and professionals in the field.
• Opportunities to work on high-impact projects and collaborate with cross-functional teams.
• A culture of innovation and experimentation, with the freedom to try new approaches and solutions.

Work Environment and Company Culture

At blithequark, we pride ourselves on our positive and inclusive work environment. Our company culture is built on the values of:

• Respect and empathy for our customers, patients, and employees.
• A commitment to diversity, equity, and inclusion, with a focus on creating a workplace that is welcoming and inclusive for all.
• A culture of innovation and experimentation, with a focus on driving business growth through data-driven insights and solutions.
• A strong sense of community and social responsibility, with a focus on giving back to the communities we serve.

Compensation, Perks, and Benefits

As a Senior Data Scientist at blithequark, you will be eligible for a range of compensation, perks, and benefits, including:

• Competitive salary and bonus structure.
• Comprehensive benefits package, including medical, dental, and vision insurance, as well as a 401(k) retirement savings plan.
• Generous paid time off and holiday policy.
• Opportunities for professional development and growth.
• Access to a range of employee discounts and perks, including discounts on our products and services.

Conclusion

If you are a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting role at blithequark. As a Senior Data Scientist, you will have the opportunity to work with a talented team of professionals, drive business growth through data-driven insights, and contribute to the development of innovative solutions that improve the lives of our customers and patients. Apply now to join our team and take the first step towards a rewarding and challenging career at blithequark.

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