Experienced Full Stack Data Entry Professional – Web & Cloud Application Development

Are you a highly motivated and detail-oriented individual looking to kickstart your career in data entry? Do you have a passion for working with complex data sets and developing innovative solutions? If so, we encourage you to apply for this exciting opportunity to join blithequark's dynamic team as an Experienced Full Stack Data Entry Professional.

About blithequark

blithequark is a leading healthcare and retail company with a rich history of caring for communities. With a strong presence in the US, Puerto Rico, and the US Virgin Islands, blithequark operates nearly 9,000 retail locations, serving over 10 million customers daily. Our pharmacists play a vital role in the US healthcare system, providing a wide range of pharmacy and healthcare services, including those that promote equitable access to care for medically underserved populations.

Job Responsibilities

As an Experienced Full Stack Data Entry Professional, 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. 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 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 medical computing.
• Programming using a tech stack that includes Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
• 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. Interpretable ML, Bayesian theory, etc.
• Utilizing Cloud Computing on Azure/Databricks, querying in Snowflake.
• Utilizing software tools and methodologies 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 team with varying 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 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, 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 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 blithequark?

At blithequark, we offer a dynamic and supportive work environment that fosters growth and development. Our team is passionate about delivering exceptional results and making a positive impact on our customers and communities. If you're a motivated and detail-oriented individual looking to kickstart your career in data entry, we encourage you to apply for this exciting opportunity to join our team.

Ready to Apply?

If you're a reliable and willing-to-learn individual looking for a low-stress role with great rewards, we want you. Apply now to join our team as an Experienced Full Stack Data Entry Professional. Apply To This Job Apply for this job