Experienced Full Stack Data Scientist – Web & Cloud Application Development at careerzynith
**Join careerzynith, a leading healthcare, pharmacy, and retail company, in revolutionizing the way we deliver care and services to our communities. As a Senior Data Scientist, you will play a critical role in leveraging advanced data science, predictive analytics, and machine learning techniques to drive business growth, improve patient outcomes, and enhance the overall customer experience.**
**About careerzynith**
careerzynith, a subsidiary of Walgreens Boots Alliance, Inc., is a 170-year-old healthcare, pharmacy, and retail leader dedicated to creating more joyful lives through better health. With over 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 Responsibilities**
As a Senior Data Scientist at careerzynith, you will be responsible for:
* Building and deploying advanced machine learning models using technical expertise in data science, statistical modeling, and data engineering to drive business growth and improve patient outcomes.
* Developing and maintaining large-scale data pipelines, data warehouses, and data lakes to support business intelligence and data-driven decision-making.
* Collaborating with cross-functional teams, including finance, research, software development, and business leaders, to define product requirements and provide analytical support.
* Communicating complex technical concepts and insights to non-technical stakeholders, including business clients and management teams.
* Designing and implementing A/B experiments to measure the effectiveness of business initiatives and drive data-driven decision-making.
* Staying up-to-date with emerging trends and technologies in data science, machine learning, and cloud computing to drive innovation and improvement.
**Key Responsibilities:**
* Builds models and algorithms using technical expertise in data science, statistical modeling, and data engineering to drive business growth and improve patient outcomes.
* Develops and maintains large-scale data pipelines, data warehouses, and data lakes to support business intelligence and data-driven decision-making.
* Collaborates with cross-functional teams to define product requirements and provide analytical support.
* Communicates complex technical concepts and insights to non-technical stakeholders.
* Designs and implements A/B experiments to measure the effectiveness of business initiatives.
* Stays up-to-date with emerging trends and technologies in data science, machine learning, and cloud computing.
**Essential Qualifications:**
* Bachelor's degree in a quantitative field, such as computer science, statistics, mathematics, or engineering.
* At least 4 years of experience in data science, machine learning, or a related field.
* Advanced degree in a quantitative field, such as a Master's or Ph.D. in computer science, statistics, mathematics, or engineering.
* Experience working with large-scale datasets and developing predictive models using techniques such as linear regression, decision trees, and clustering.
* Experience with cloud computing platforms, such as AWS or Azure, and data engineering tools, such as Apache Beam or Apache Spark.
* Strong programming skills in languages such as Python, R, or SQL.
* Experience with data visualization tools, such as Tableau or Power BI.
* Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
**Preferred Qualifications:**
* Ph.D. in a quantitative field, such as computer science, statistics, mathematics, or engineering.
* Experience working with IoT and Edge AI technologies.
* Experience in Reinforcement Learning or other advanced machine learning techniques.
* Experience in the healthcare industry or with healthcare-related data.
**Benefits:**
* Competitive salary range of $30-45/hour.
* Comprehensive benefits package, including medical, dental, and vision insurance.
* Retirement savings plan, including a 401(k) match.
* Employee stock purchase plan.
* Paid time off (PTO) and holidays.
* Paid parental leave (PPL).
* Transportation benefit plan.
* Employee store discount.
* Voluntary life and personal accident insurance.
**What We Offer:**
* A dynamic and collaborative work environment with a team of experienced professionals.
* Opportunities for career growth and professional development.
* A comprehensive benefits package and competitive salary.
* The chance to make a meaningful impact on the lives of our customers and patients.
**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 hearing from you!
Apply for this job
**About careerzynith**
careerzynith, a subsidiary of Walgreens Boots Alliance, Inc., is a 170-year-old healthcare, pharmacy, and retail leader dedicated to creating more joyful lives through better health. With over 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 Responsibilities**
As a Senior Data Scientist at careerzynith, you will be responsible for:
* Building and deploying advanced machine learning models using technical expertise in data science, statistical modeling, and data engineering to drive business growth and improve patient outcomes.
* Developing and maintaining large-scale data pipelines, data warehouses, and data lakes to support business intelligence and data-driven decision-making.
* Collaborating with cross-functional teams, including finance, research, software development, and business leaders, to define product requirements and provide analytical support.
* Communicating complex technical concepts and insights to non-technical stakeholders, including business clients and management teams.
* Designing and implementing A/B experiments to measure the effectiveness of business initiatives and drive data-driven decision-making.
* Staying up-to-date with emerging trends and technologies in data science, machine learning, and cloud computing to drive innovation and improvement.
**Key Responsibilities:**
* Builds models and algorithms using technical expertise in data science, statistical modeling, and data engineering to drive business growth and improve patient outcomes.
* Develops and maintains large-scale data pipelines, data warehouses, and data lakes to support business intelligence and data-driven decision-making.
* Collaborates with cross-functional teams to define product requirements and provide analytical support.
* Communicates complex technical concepts and insights to non-technical stakeholders.
* Designs and implements A/B experiments to measure the effectiveness of business initiatives.
* Stays up-to-date with emerging trends and technologies in data science, machine learning, and cloud computing.
**Essential Qualifications:**
* Bachelor's degree in a quantitative field, such as computer science, statistics, mathematics, or engineering.
* At least 4 years of experience in data science, machine learning, or a related field.
* Advanced degree in a quantitative field, such as a Master's or Ph.D. in computer science, statistics, mathematics, or engineering.
* Experience working with large-scale datasets and developing predictive models using techniques such as linear regression, decision trees, and clustering.
* Experience with cloud computing platforms, such as AWS or Azure, and data engineering tools, such as Apache Beam or Apache Spark.
* Strong programming skills in languages such as Python, R, or SQL.
* Experience with data visualization tools, such as Tableau or Power BI.
* Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
**Preferred Qualifications:**
* Ph.D. in a quantitative field, such as computer science, statistics, mathematics, or engineering.
* Experience working with IoT and Edge AI technologies.
* Experience in Reinforcement Learning or other advanced machine learning techniques.
* Experience in the healthcare industry or with healthcare-related data.
**Benefits:**
* Competitive salary range of $30-45/hour.
* Comprehensive benefits package, including medical, dental, and vision insurance.
* Retirement savings plan, including a 401(k) match.
* Employee stock purchase plan.
* Paid time off (PTO) and holidays.
* Paid parental leave (PPL).
* Transportation benefit plan.
* Employee store discount.
* Voluntary life and personal accident insurance.
**What We Offer:**
* A dynamic and collaborative work environment with a team of experienced professionals.
* Opportunities for career growth and professional development.
* A comprehensive benefits package and competitive salary.
* The chance to make a meaningful impact on the lives of our customers and patients.
**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 hearing from you!
Apply for this job