Walgreens Careers Apply In US ( Data Scientist )

Walgreens; Indianapolis (IN); On-site; USD 90,000 - 130,000; Full time

Job summary

Walgreens is seeking a data analytics professional to apply advanced statistics and predictive modeling to deliver insights for business decisions. You will interpret complex data, explain results to business audiences, and contribute to data-related offerings and intellectual property.

The role supports cross-functional teams, collaborates with internal and external partners, and requires strong SQL, Python/R/Spark skills. Willingness to travel up to 10% may be required.

Qualifications

• Bachelor's degree with 2+ years in quantitative or computational roles, or a quantitative graduate degree.
• Knowledge of SQL.
• Experience analyzing data and presenting findings to business audiences.

Responsibilities

• Apply advanced data analysis tools to provide insights and actionable tips for the business.
• Interpret data in complex analyses and explain findings to business audiences.
• Develop and/or support data-related offerings and IP.
• Execute statistical analyses to support business decision making.
• Develop algorithms and predictive models to evaluate outcomes and future effects.
• Apply statistical methods to large datasets including profiling, segmentation, surveys, and data mining.
• Prepare materials to explain findings and resolve roadblocks.
• Interact with internal/external peers to discuss data-related tasks.
• Provide interpretation of findings to internal clients.

Skills

SQL

Data analytics

Data interpretation

Education

Bachelor's degree

Graduate degree

Tools

Python

R

Spark

Job description

Job Summary

Applies advanced statistics analysis gear and techniques to provide insights and actionable suggestions for the commercial enterprise. Makes use of complex statistical modeling to make predictions about destiny outcomes and in a couple of eventualities. May additionally explain findings to commercial enterprise target market.

Responsibilities

• Chargeable for making use of superior data evaluation tools and techniques to offer insights and actionable tips for the commercial enterprise.
• Interprets and applies data in complex analyses, and explains findings to business audiences to enhance merchandise and procedures.
• May also aid or lead the improvement of information-related business offerings and/or different highbrow assets (IP).
• Executes statistical and mathematical analyses to assist business selection making.
• Develops and/or uses algorithms and statistical predictive fashions and determines analytical strategies and modeling techniques to evaluate outcomes and potential destiny consequences.
• Applies analytical rigor and statistical strategies to investigate massive amounts of statistics, using superior statistical strategies including predictive statistical models, patron profiling, segmentation evaluation, survey design and analysis, and statistics mining.
• Files tasks which include commercial enterprise goals, statistics amassing and processing, leading methods, very last set of rules, targeted set of consequences and analytical metrics.
• Develops materials to give an explanation for mission findings.
• Efficaciously resolves troubles and roadblocks as they arise.
• Interacts with inner and external peers and/or managers to trade semi-complex data related to assigned sports.
• Prepares and provides interpretation of findings to internal clients.

Primary Qualifications

• Bachelor's degree and at least 2 years of experience in quantitative or computational features; or graduate degree in a quantitative, computational or technical discipline.
• Knowledge of SQL.
• Revel in data science, superior analytics, or data. Potential to interrogate statistics, perform analyses, interpret data, and present to enterprise audiences.
• Understanding of open source statistics science and statistics applications along with Python, R, Spark, etc.
• Revel in establishing and maintaining key relationships with internal (friends, business companions and leadership) and external (commercial enterprise community, clients and companies) within a matrix employer to make sure fine requirements for career.
• Experience studying and reporting statistics for you to become aware of problems, traits, or exceptions to drive improvement of outcomes and locate solutions.
• Inclined to journey up to 10% of the time for commercial enterprise functions (within country and out of state).

Desired Qualifications

• Graduate diploma in a quantitative, computational or technical field.

An equal possibility organisation, including incapacity/veterans.