I'm looking for Senior Data Scientist positions in Chicago, focusing on analytics, with expertise in Python and SQL, and at least 5 years of experience.

I've found several Senior Data Scientist positions in Chicago that focus on analytics, require expertise in Python and SQL, and need at least 5 years of experience. Currently, there are 87 suitable positions available for you to explore.

Senior Data Scientist

Chicago, IL

Python

SQL

5 years + Experience

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of Sr. Data Scientist for Private Pricing Analytics and Insights (PPA&I) at Amazon Web Services (AWS) is centered around delivering actionable insights from complex datasets to support impactful business decisions within the Private Pricing program. The primary responsibilities include driving the business analytics processes, performing quantitative analysis on sales and market data, and employing machine learning techniques to tackle intricate business problems. As AWS seeks to optimize its private pricing strategy, successful candidates will need to synthesize a robust understanding of data extraction, transformation, and load methodologies, and leverage ETL skills effectively. This role demands not only technical proficiency in languages such as SQL and Python but also a strong business acumen to contextualize data insights for diverse stakeholders. A candidate will face challenges in communicating technical analyses to non-technical audiences and will be expected to proactively identify and solve data-related problems. Success in this position may be measured through the effectiveness of developed metrics and dashboards, the ability to enhance the sales team’s understanding of key performance indicators, and the degree to which analytical models drive business decision-making aligned with AWS's goals.

Company Analysis:

Amazon Web Services (AWS) operates at the forefront of the cloud computing industry, positioning itself as a leader in providing scalable and reliable infrastructure solutions. This market position infuses the Sr. Data Scientist role with significant relevance and impact, as data-driven insights directly contribute to maintaining AWS's competitive edge. The company culture appears to be dynamic and innovation-driven, emphasizing collaboration across diverse teams, which indicates that a successful candidate must thrive in a fast-paced environment requiring adaptability and creativity. The role essentially supports the intersection of sales and data analytics, implying that individuals will not only work within the data science team but also collaborate closely with sales, finance, and operations units. This cross-functional visibility may afford the position strategic influence over broader company outcomes, emphasizing the importance of effective communication skills. Ultimately, the role aligns strategically with AWS's growth objectives by leveraging data analytics to enhance pricing strategies and optimize business outcomes for its Private Pricing products.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Describe a time you used data analysis to influence a significant business decision. What was the result?
Can you give an example of a complex data problem you solved? What tools did you use, and what was your approach?
Tell me about a time when you had to communicate a complex data insight to a non-technical audience. How did you ensure they understood?
What experience do you have with statistical models? Can you provide an example of how you applied this knowledge in a project?
How would you approach developing a new metric to track private pricing effectiveness? What factors would you consider?
Describe your experience with data visualization tools like AWS QuickSight or Tableau. How have you used these tools in past projects?
Imagine you find a discrepancy in the data affecting the sales metrics report. How would you approach investigating this issue?
If tasked with developing a forecasting model for private pricing, what critical steps would you initiate to ensure its accuracy?
Why do you want to work at AWS specifically, and how do you see your skills contributing to our Private Pricing Analytics team?
What do you perceive as the most significant challenge in transitioning from traditional pricing models to private pricing strategies at AWS?
How do you keep up with industry trends in data science and apply them to your work?
What questions do you have about the team dynamics and projects within the Private Pricing Analytics and Insights group?
What is your understanding of AWS's mission, and how do your professional goals align with it?
In your opinion, what role does data storytelling play in a data-driven organization like AWS? Can you provide an example from your experience?

Job Details

Overview Company

Senior Data Scientist

$143.3k/y-$247.6k/y

Amazon Web Services (AWS)

5 days ago

Highlight

OnsiteFull-time5+ yearsSenior

Summary

Amazon Web Services (AWS) is seeking a Sr. Data Scientist, Private Pricing Analytics and Insights (PPA&I) to join their team in Chicago, IL. The role involves generating actionable insights from complex datasets to support business decisions in the AWS Private Pricing business.

About the Role

As a Sr. Data Scientist, you will focus on Data Science and Analytics related to the Private Pricing Program. Responsibilities include developing business analytics and data models, using machine learning and statistical techniques to solve business problems, and creating forecasting, predictive, and prescriptive models. You will also build dashboards and visualizations to support business strategy and collaborate with various teams to address reporting issues and drive resolution of data-related problems.

About You

Required:

5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
4+ years of data scientist experience.
Experience with statistical models such as multinomial logistic regression.
Ability to communicate complex and nuanced messaging to a diverse audience of senior leadership stakeholders.

Preferred:

2+ years of data visualization experience using AWS QuickSight, Tableau, R Shiny, etc.
Experience managing data pipelines.
Experience as a leader and mentor on a data science team.

Benefits

Base pay ranging from $143k–$247k depending on geographic market and experience.
Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package.
Full range of medical, financial, and other benefits.

Amazon Web Services (AWS)

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.

Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.

Chicago, IL