Experienced Full Stack Data Scientist – Web & Cloud Application Development at careerzynith
**Join careerzynith, a leading healthcare and retail company, as we continue to revolutionize the way we deliver care and services to our customers. As a Senior Data Scientist, you will play a critical role in driving business growth and innovation through data-driven insights and actionable recommendations.**
**About careerzynith**
careerzynith is a 170-year-old healthcare, pharmacy, 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 Senior Data Scientist at careerzynith, you will be responsible for leveraging advanced data science, predictive analytics, and machine learning techniques to deliver insights and actionable recommendations that drive business growth and innovation. Your key responsibilities will include:
* Building models and algorithms using technical expertise 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 analytic 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 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, 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 such as 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, as well as sharing insights and recommendations.
**Basic 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, studying 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.
**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
**Why Join careerzynith?**
At careerzynith, we offer a dynamic and supportive work environment that fosters innovation, collaboration, and growth. As a Senior Data Scientist, you will have the opportunity to work with a talented team of professionals who are passionate about using data science to drive business growth and innovation. We offer a competitive salary and benefits package, as well as opportunities for professional development and career advancement.
**How to Apply**
If you are a motivated and experienced data scientist who is passionate about using data science to drive business growth and innovation, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter that highlights your experience and qualifications for this role. We look forward to hearing from you!
Apply Job!
Apply for this job
**About careerzynith**
careerzynith is a 170-year-old healthcare, pharmacy, 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 Senior Data Scientist at careerzynith, you will be responsible for leveraging advanced data science, predictive analytics, and machine learning techniques to deliver insights and actionable recommendations that drive business growth and innovation. Your key responsibilities will include:
* Building models and algorithms using technical expertise 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 analytic 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 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, 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 such as 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, as well as sharing insights and recommendations.
**Basic 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, studying 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.
**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
**Why Join careerzynith?**
At careerzynith, we offer a dynamic and supportive work environment that fosters innovation, collaboration, and growth. As a Senior Data Scientist, you will have the opportunity to work with a talented team of professionals who are passionate about using data science to drive business growth and innovation. We offer a competitive salary and benefits package, as well as opportunities for professional development and career advancement.
**How to Apply**
If you are a motivated and experienced data scientist who is passionate about using data science to drive business growth and innovation, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter that highlights your experience and qualifications for this role. We look forward to hearing from you!
Apply Job!
Apply for this job