Senior Data Scientist Jobs

Job Summary
The Senior Data Scientist is responsible for applying highly complex advanced data science, predictive analytics, and machine learning techniques to provide insights and actionable recommendations, as well as providing consulting support for applications development and cross functional initiatives.
Job Responsibililities

• Performs machine learning techniques, supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases.
• Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining. Builds recommendations and optimization algorithmic designs, performs information retrieval, complexity analysis, scientific computing.
• Programs using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
• Collaborates with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support.
• Builds models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. Innovates by adapting to new modeling techniques and procedures.
• Builds algorithms like decision trees, regression, XGBoost, K means, anomaly detection. Interpretable ML, Bayesian theory, etc.
• Utilizes software tools and methodologies GitHub, Continuous integration and delivery, agile methodologies.
• Communicates verbally and in writing to business customers and leadership team with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations.
• Utilizes Cloud Computing on Azure/Databricks, querying in Snowflake.
• Understands the business reality behind large sets of data and develops meaningful analytic solutions.

About Walgreens and WBA :
Walgreens (www.walgreens.com) is included in the U.S. Retail Pharmacy and U.S. Healthcare segments of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy and retail leader with a 170 year heritage of caring for communities. WBA’s purpose is to create more joyful lives through better health. Operating nearly 9,000 retail locations across America, Puerto Rico and the U.S. Virgin Islands, Walgreens is proud to be a neighborhood health destination serving nearly 10 million customers each day. Walgreens pharmacists play a critical role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that drive equitable access to care for the nation’s medically underserved populations. To best meet the needs of customers and patients, Walgreens offers a true omnichannel experience, with fully integrated physical and digital platforms supported by the latest technology to deliver high quality products and services in communities nationwide.
Basic Qualifications

• Experience with Cloud ML platforms, distributed computing, data pipelines, cloud data stores and serving engine.
• Experience working in a dynamic environment and working with ambiguity, prioritizing needs, and delivering results.
• Experience with supervised learning methods (linear and logistic regression, time series modelling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised learning methods (K means, hierarchical clustering, association rules, principal components).
• At least 4 years of experience working with large scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models.
• At least 2 years of direct leadership, indirect leadership and/or cross functional team leadership.
• Willing to travel up to/at least 10% of the time for business purposes (within state and out of state).
• Experience designing and analyzing A/B experiments.
• Advanced level skill in conveying rigorous technical concepts and considerations to non experts.
• Advanced experience in SQL, Python, PySPark or other languages.
• Advanced level skill in exploratory data analysis, feature engineering and selection, detecting patterns, analyzing distributions, visualizing results, and extracting insights to help business make informed data driven decisions
• Experience using decision trees, building classifiers.
• Bachelor's degree and at least 4 years of experience in data science, machine learning, quantitative or computational functions OR High School/GED and at least 7 years of experience in data science, machine learning, quantitative or computational functions.
• Experience effectively communicating technical solutions and advocating to research scientists, engineering teams and business audiences.
• At least 2 years of experience contributing to financial decisions in the workplace.
• M.S. in STEM, computer science, information systems, physics, mathematics, statistics, data science, machine learning, or similar.

Preferred Qualifications

• Experience in Healthcare is a plus.
• Experience working with IoT, and Edge AI is a plus.
• Ph.D. in STEM, computer science, information systems, physics, mathematics, statistics, data science, machine learning, or similar.
• Experience in Reinforcement Learning is a plus.