Experienced Full Stack Data Scientist – Web & Cloud Application Development at careerzynith
**Join careerzynith's innovative team of data scientists and contribute to the development of cutting-edge solutions that transform the retail pharmacy and healthcare industry.**
**About careerzynith**
careerzynith is a leading healthcare, pharmacy, and retail company with a 170-year history of caring for communities. Our mission is to create more joyful lives through better health. With a presence in almost 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, careerzynith is proud to be a community health destination serving 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 the nation's medically underserved populations.
**Job Summary**
We are seeking an experienced Full Stack Data Scientist to join our team at careerzynith. As a Senior Data Scientist, you will be responsible for leveraging advanced data science, predictive analytics, and machine learning techniques to provide insights and actionable recommendations. You will work closely with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support. If you have a passion for data-driven decision-making and a strong background in data science, we encourage you to apply for this exciting opportunity.
**Key Responsibilities**
* Build models and algorithms using technical expertise in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. Innovate by adapting to new modeling techniques and procedures.
* Understand the business context behind large datasets and develop significant analytical solutions.
* Apply 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. Build recommendations and optimization algorithmic designs, perform data retrieval, complexity analysis, and clinical computing.
* Program using a tech stack that includes 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 clients and management teams 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, 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 effectively 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
**How to Apply**
If you are a motivated and experienced data scientist looking for a new challenge, please submit your application through our website. We look forward to reviewing your application and discussing this exciting opportunity with you.
**Note:** careerzynith is an equal opportunity employer and welcomes applications from diverse candidates.
Apply for this job
**About careerzynith**
careerzynith is a leading healthcare, pharmacy, and retail company with a 170-year history of caring for communities. Our mission is to create more joyful lives through better health. With a presence in almost 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, careerzynith is proud to be a community health destination serving 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 the nation's medically underserved populations.
**Job Summary**
We are seeking an experienced Full Stack Data Scientist to join our team at careerzynith. As a Senior Data Scientist, you will be responsible for leveraging advanced data science, predictive analytics, and machine learning techniques to provide insights and actionable recommendations. You will work closely with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support. If you have a passion for data-driven decision-making and a strong background in data science, we encourage you to apply for this exciting opportunity.
**Key Responsibilities**
* Build models and algorithms using technical expertise in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. Innovate by adapting to new modeling techniques and procedures.
* Understand the business context behind large datasets and develop significant analytical solutions.
* Apply 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. Build recommendations and optimization algorithmic designs, perform data retrieval, complexity analysis, and clinical computing.
* Program using a tech stack that includes 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 clients and management teams 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, 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 effectively 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
**How to Apply**
If you are a motivated and experienced data scientist looking for a new challenge, please submit your application through our website. We look forward to reviewing your application and discussing this exciting opportunity with you.
**Note:** careerzynith is an equal opportunity employer and welcomes applications from diverse candidates.
Apply for this job