Experienced Full Stack Data Scientist – Walgreens Data Entry Jobs at careerzynith
**Job Summary:**
Join careerzynith, a leading healthcare and retail company, as a Full Stack Data Scientist in our Walgreens Data Entry Jobs team. As a key member of our team, you will utilize your expertise in data science, predictive analytics, and machine learning to drive business growth and improve customer experiences. If you're passionate about working with complex data sets, developing innovative solutions, and collaborating with cross-functional teams, we encourage you to apply.
**About careerzynith:**
careerzynith is a healthcare and retail leader with a 170-year history of caring for communities. Our mission is to create more joyful lives through better health. With almost 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, we serve nearly 10 million customers daily. 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, probability and decision theory, and other quantitative methods. You will innovate 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 methods such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining. You will build recommendations and optimization algorithmic designs, perform data retrieval, complexity analysis, and clinical computing.
* Programming using a tech stack that includes Python, PySpark, Matplotlib, TensorFlow, PyTorch, and other relevant tools.
* Performing machine learning 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. You will also work with interpretable ML, Bayesian theory, and other advanced techniques.
* Utilizing Cloud Computing on Azure/Databricks, querying in Snowflake, and working with other cloud-based tools.
* Utilizing software tools and methodologies like GitHub, Continuous Integration and Delivery, and 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 varying levels of technical expertise, educating them about our systems, and sharing insights and recommendations.
**Essential Qualifications:**
* Bachelor's degree and a minimum of four years of experience in data science, machine learning, quantitative or computational fields OR High School/GED and a minimum of seven years of experience in data science, machine learning, quantitative or computational fields.
* M.S. in STEM, PC science, statistics systems, physics, mathematics, statistics, data science, machine learning, or similar.
* At least four 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 skills 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 skills 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 two years of experience contributing to business decisions in the workplace.
* At least two years of direct management, indirect management, and/or cross-functional team management.
* Willingness to travel up to/at least 10% of the time for business purposes (within the country and internationally).
**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 value a great attitude and a willingness to learn above all. We offer a dynamic work environment, opportunities for career growth, and a chance to work with a talented team of professionals. If you're passionate about data science, machine learning, and driving business growth, we encourage you to apply.
**Don't Hesitate, Apply!**
Don't worry if you don't meet every single requirement. We believe that a great attitude and a willingness to learn are essential for success. Submit your application today and join our team of talented professionals at careerzynith.
Apply To This Job
Apply for this job
Join careerzynith, a leading healthcare and retail company, as a Full Stack Data Scientist in our Walgreens Data Entry Jobs team. As a key member of our team, you will utilize your expertise in data science, predictive analytics, and machine learning to drive business growth and improve customer experiences. If you're passionate about working with complex data sets, developing innovative solutions, and collaborating with cross-functional teams, we encourage you to apply.
**About careerzynith:**
careerzynith is a healthcare and retail leader with a 170-year history of caring for communities. Our mission is to create more joyful lives through better health. With almost 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, we serve nearly 10 million customers daily. 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, probability and decision theory, and other quantitative methods. You will innovate 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 methods such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining. You will build recommendations and optimization algorithmic designs, perform data retrieval, complexity analysis, and clinical computing.
* Programming using a tech stack that includes Python, PySpark, Matplotlib, TensorFlow, PyTorch, and other relevant tools.
* Performing machine learning 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. You will also work with interpretable ML, Bayesian theory, and other advanced techniques.
* Utilizing Cloud Computing on Azure/Databricks, querying in Snowflake, and working with other cloud-based tools.
* Utilizing software tools and methodologies like GitHub, Continuous Integration and Delivery, and 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 varying levels of technical expertise, educating them about our systems, and sharing insights and recommendations.
**Essential Qualifications:**
* Bachelor's degree and a minimum of four years of experience in data science, machine learning, quantitative or computational fields OR High School/GED and a minimum of seven years of experience in data science, machine learning, quantitative or computational fields.
* M.S. in STEM, PC science, statistics systems, physics, mathematics, statistics, data science, machine learning, or similar.
* At least four 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 skills 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 skills 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 two years of experience contributing to business decisions in the workplace.
* At least two years of direct management, indirect management, and/or cross-functional team management.
* Willingness to travel up to/at least 10% of the time for business purposes (within the country and internationally).
**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 value a great attitude and a willingness to learn above all. We offer a dynamic work environment, opportunities for career growth, and a chance to work with a talented team of professionals. If you're passionate about data science, machine learning, and driving business growth, we encourage you to apply.
**Don't Hesitate, Apply!**
Don't worry if you don't meet every single requirement. We believe that a great attitude and a willingness to learn are essential for success. Submit your application today and join our team of talented professionals at careerzynith.
Apply To This Job
Apply for this job