**Experienced Full Stack Data Scientist – Web & Cloud Application Development**
Are you a skilled data scientist looking to join a dynamic team that's revolutionizing the healthcare industry? Do you have a passion for leveraging advanced data science techniques to drive business growth and improve patient outcomes? If so, we invite you to apply for the Experienced Full Stack Data Scientist position at blithequark.
**About blithequark**
blithequark is a leading healthcare company that's dedicated to creating more joyful lives through better health. With a rich history spanning over 170 years, we've established ourselves as a trusted partner in the healthcare industry, serving nearly 10 million customers every day. Our pharmacists play a vital role in the US healthcare system by providing a wide range of pharmacy and healthcare services, including those that promote equitable access to care for medically underserved populations.
**Job Responsibilities**
As an Experienced Full Stack Data Scientist at blithequark, you'll be responsible for leveraging your technical expertise to drive business growth and improve patient outcomes. Your primary responsibilities will include:
* Building and deploying machine learning models using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques.
* Innovating 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 techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining.
* Building recommendations and optimization algorithmic designs, performing data retrieval, complexity analysis, and clinical computing.
* Programming using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
* Performing machine learning techniques, 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 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 diverse levels of technical knowledge, 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.
**Work Environment and Company Culture**
As a member of the blithequark team, you'll be part of a dynamic and collaborative environment that's committed to driving business growth and improving patient outcomes. Our company culture is built on the principles of innovation, teamwork, and customer-centricity. We offer a range of benefits and perks, 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
**Compensation and Benefits**
We offer a competitive salary and benefits package, including a comprehensive health insurance plan, retirement savings plan, and paid time off. Our compensation package is designed to recognize and reward your skills, experience, and contributions to the company.
**How to Apply**
If you're a motivated and experienced data scientist looking to join a dynamic team that's revolutionizing the healthcare industry, we invite you to apply for the Experienced Full Stack Data Scientist position at blithequark. Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you!