Experienced Full Stack Data Entry Specialist – Web & Cloud Application Development
Are you a detail-oriented and analytical individual with a passion for data entry and cloud application development? Do you want to join a dynamic team that values innovation and collaboration? Look no further! careerzynith is seeking an experienced Full Stack Data Entry Specialist to join our team. As a key member of our data entry team, you will be responsible for ensuring the accuracy and efficiency of our data entry processes, while also contributing to the development of our web and cloud applications.
About careerzynith
careerzynith is a leading provider of innovative healthcare solutions, with a rich history of caring for communities across the United States. Our mission is to create more joyful lives through better health, and we're committed to making a positive impact on the lives of our customers and patients. With a strong presence in the retail pharmacy and healthcare sectors, we're proud to be a community health destination, serving nearly 10 million customers every day.
Job Responsibilities
As a Full Stack Data Entry Specialist, you will be responsible for:
- Building and maintaining complex data models using technical expertise in data science, predictive analytics, and machine learning
- Developing and optimizing data entry processes to ensure accuracy and efficiency
- Collaborating with cross-functional teams to design and implement web and cloud applications
- Utilizing technical skills in Python, PySpark, Matplotlib, TensorFlow, PyTorch, and other languages to build and deploy data-driven solutions
- Performing data analysis and visualization to identify trends and insights
- Building and maintaining data pipelines to ensure seamless data flow
- Collaborating with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support
- Communicating complex technical information to non-technical stakeholders, including business clients and management teams
Essential Qualifications
* Bachelor's degree in a STEM field, such as computer science, statistics, or mathematics
- Minimum 4 years of experience in data science, machine learning, or a related field
- Advanced degree in a STEM field, such as a Master's or Ph.D.
- At least 4 years of experience working with large-scale, complex datasets to create or 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 support business decision-making
- 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 a dynamic environment 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
Preferred Qualifications
* Ph.D. in a STEM field, such as computer science, statistics, or mathematics
- Experience working with IoT and Edge AI
- Experience in Reinforcement Learning
- Experience in Healthcare
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
Ready to Apply?
If you're a motivated individual ready to contribute to a thriving team, we encourage you to apply now! We're excited to review your application. Apply To This Job
Join our team and be part of something amazing!
At careerzynith, we're committed to creating a culture that values innovation, collaboration, and community. We believe that our employees are our greatest asset, and we're dedicated to providing a supportive and inclusive work environment that allows you to grow and thrive. If you're passionate about data entry, cloud application development, and making a positive impact on the lives of our customers and patients, we want to hear from you! Apply for this job