Experienced Full Stack Data Entry Specialist – Walgreens Remote Data Management and Analytics
About Us
At Workwarp, we're dedicated to providing top-notch remote job opportunities that empower individuals to grow and thrive in their careers. As a leading remote job platform, we're committed to connecting talented professionals with exciting job openings that match their skills and interests. Our mission is to revolutionize the way people work by offering flexible, remote job opportunities that promote work-life balance and personal growth.About Walgreens and WBA
Walgreens (www.walgreens.com) is a leading healthcare, pharmacy, and retail company with a 170-year history of caring for communities. As a part of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), we're proud to be a community health destination serving nearly 10 million customers every day. Our pharmacists play a vital role in the US 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 Summary
We're seeking an experienced Full Stack Data Entry Specialist to join our team at Walgreens. As a key member of our data management and analytics team, you'll be responsible for utilizing advanced data science, predictive analytics, and machine learning strategies to provide insights and actionable recommendations. You'll work closely with our finance, research, software development, and business leaders to define product requirements and provide analytical support.Key Responsibilities
- Builds models and algorithms using technical expertise in machine learning, statistical modeling, probability and decision theory, and other quantitative methods. Innovates by adapting to new modeling strategies and procedures.
- Understands the business context behind large datasets and develops significant analytic solutions.
- Applies 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. Builds recommendations and optimization algorithmic designs, performs data retrieval, complexity analysis, and clinical computing.
- Programs using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
- Performs machine learning strategies, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases.
- Builds algorithms like decision trees, regression, XGBoost, K means, and anomaly detection. Interpretable ML, Bayesian theory, etc.
- Utilizes Cloud Computing on Azure/Databricks, querying in Snowflake.
- Utilizes software tools and methodologies GitHub, Continuous integration and delivery, agile methodologies.
- Collaborates with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support.
- Communicates 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