Experienced Full Stack Data Scientist – Web & Cloud Application Development

Join careerzynith, a leading healthcare and retail company, as a Full Stack Data Scientist and contribute to the development of innovative solutions that improve patient outcomes and enhance the customer experience. As a key member of our team, you will be responsible for designing, building, and deploying data-driven applications that drive business growth and inform strategic decisions.

About careerzynith

careerzynith is a global healthcare and retail leader with a rich history of caring for communities. Our mission is to create more joyful lives through better health. With over 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 medically underserved populations.

Job Responsibilities

As a Full Stack Data Scientist at careerzynith, you will be responsible for:

• Building models and tools using technical expertise in machine learning, statistical modeling, and data engineering to provide insights and actionable recommendations
• Understanding the business context behind large datasets and developing significant analytic 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
• Building suggestions and optimization algorithmic designs, performing data retrieval, complexity analysis, and clinical computing
• Programming using a tech stack that includes Python, PySpark, Matplotlib, TensorFlow, PyTorch, and other relevant tools
• Performing data engineering 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 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 teams with diverse levels of technical expertise, educating them about our systems, and 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, 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 talent 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 talent 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

Work Environment and Company Culture

careerzynith is committed to providing a safe and inclusive work environment that fosters collaboration, innovation, and growth. Our company culture values diversity, equity, and inclusion, and we strive to create a workplace where everyone feels valued, respected, and empowered to contribute their best work.

Compensation and Perks

careerzynith offers a competitive salary and a comprehensive benefits package that includes medical, dental, and vision coverage, retirement savings plan, employee stock purchase plan, paid time off, holidays, paid parental leave, transportation benefit plan, employee store discount, and voluntary life and personal accident insurance.

How to Apply

If you are a motivated and talented data scientist looking for a challenging and rewarding opportunity, we encourage you to apply for this role. Please submit your resume and a cover letter that highlights your experience and qualifications for this position. We look forward to hearing from you! Apply for this job