Senior Data Scientist
Company: WALGREENS
Location: Deerfield
Posted on: May 27, 2023
Job Description:
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:
- 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.
- Understands the business reality behind large sets of data and
develops meaningful analytic solutions.
- 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.
- Performs machine learning techniques, 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, 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 customers and
leadership team with various levels of technical knowledge,
educating them about our systems, as well as sharing insights and
recommendations. About Walgreens and WBA :
Walgreens () 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
- 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.
- M.S. in STEM, computer science, information 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 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.
- 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).
- Experience with Cloud ML platforms, distributed computing, data
pipelines, cloud data stores and serving engine.
- Experience designing and analyzing A/B experiments.
- Advanced level skill in conveying rigorous technical concepts
and considerations to non experts.
- Experience working in a dynamic environment and working with
ambiguity, prioritizing needs, and delivering results.
- 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.
- 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).Preferred Qualifications
- Ph.D. in STEM, computer science, information 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.
Keywords: WALGREENS, Arlington Heights , Senior Data Scientist, Accounting, Auditing , Deerfield, Illinois
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