Search for Data Scientist roles in Chicago with a focus on AI and ML, specifically looking for positions that require 3+ years of experience, involve customer engagement, and utilize AWS services like SageMaker.

Okay, I've searched for Data Scientist roles in Chicago that focus on AI and ML, require 3+ years of experience, involve customer engagement, and utilize AWS services such as SageMaker. I found 42 positions that match your criteria.

Data Scientist

Chicago, IL

3 years + Experience

AWS SageMaker

Experienced

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

Sure. Here's the analysis:

Job Analysis:

The Data Scientist role within AWS Professional Services aims to leverage advanced Machine Learning (ML) and Artificial Intelligence (AI) capabilities to transform customer business challenges into innovative solutions. The core responsibilities include end-to-end implementation of AI/ML projects, which requires a profound understanding of both technical and business aspects. The candidate will collaborate closely with cross-disciplinary teams, necessitating strong communication and problem-solving skills to address complex challenges and optimize customer experiences. Additionally, they will be required to engage with customers to identify their needs, making relationship management crucial. Success in this role would be measured by the ability to deploy effective ML models that drive significant business outcomes, a task that demands not only technical expertise in model development and data processing but also a knack for translating technical concepts into actionable business insights.

Company Analysis:

Amazon Web Services (AWS) stands as a dominant force in the cloud computing industry, known for its commitment to innovation and a diverse, inclusive work environment. The company's success as the leading cloud services provider has established it as a key player, affecting the scope and influence of the Data Scientist role significantly. AWS’s culture appears to value continuous learning and collaboration, making room for diverse experiences and encouraging mentorship and career growth. This cultural foundation promotes a fast-paced, customer-centric approach to problem-solving, aligning well with the expectations for the Data Scientist role, which involves direct customer engagement and real-world application of AI/ML solutions. Given that this role potentially connects with customers on a strategic level, high visibility to leadership can be expected, highlighting its importance in supporting AWS’s overarching goal of enhancing client outcomes through advanced technologies.

Mock up some interview questions based on the job description.

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

Tell me about a time when you had to implement a complex machine learning solution for a client. What were the challenges you faced, and how did you overcome them?
Describe an experience where you collaborated with a cross-functional team to solve a technical problem. What role did you play in that collaboration?
Can you share an instance where you had to communicate complex AI/ML concepts to a non-technical stakeholder? How did you ensure their understanding?
How would you prioritize multiple projects if you have tight deadlines from different customers demanding immediate attention?
How would you approach the development of a new machine learning model for a customer looking to enhance their predictive capabilities?
What strategies would you utilize to evaluate the success of an AI project after its deployment?
Imagine a customer is hesitant about the feasibility of implementing a machine learning solution. How would you address their concerns?
If you find discrepancies in the data while preparing it for a machine learning model, how would you handle this situation?
Why are you interested in working at Amazon Web Services, and what do you find compelling about its approach to cloud computing?
How do your career aspirations align with AWS’s commitment to innovation in cloud services and customer focus?
What do you think makes AWS a leader in the cloud services space, and how can your skills contribute to maintaining that position?
What questions do you have about the team dynamics within AWS Professional Services or the projects you'd be involved with?
Can you describe your experience with AWS services relevant to machine learning? Which service do you find most effective and why?

Job Details

Overview Company

Data Scientist

$125.5k/y-$212.8k/y

Amazon Web Services (AWS)

3 days ago

Highlight

OnsiteFull-time3+ yearsMid

Summary

Amazon Web Services (AWS) is seeking a Data Scientist, AWS Professional Services to join their team in Chicago, IL. The role involves implementing AI/ML solutions to solve real-world problems and drive business transformation.

About the Role

As a Data Scientist, you will implement end-to-end AI/ML and GenAI projects, collaborate with AI/ML scientists, engineers, and architects, and interact directly with customers to understand business challenges. You will design and run experiments, research new algorithms, and optimize risk, profitability, and customer experience. The role includes creating best practice recommendations and providing feedback to product and engineering teams.

About You

Required:

Bachelor's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field.
3+ years of experience building machine learning models for business applications.
3+ years of hands-on experience with training, fine-tuning, evaluating, and deploying transformer models in production.
2+ years of experience with cloud services related to machine learning (e.g., Amazon SageMaker) and coding with Python or R.
Experience with technical customer-facing engagements.

Preferred:

PhD in computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
AWS experience with proficiency in a range of AWS services and professional certifications.
2+ years of experience with design, deployment, and evaluation of AI agents and orchestration approaches.
5+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience.
Experience in launching AI applications in production on AWS.
Experience building ML pipelines with MLOps best practices.
Strong communication skills with the ability to convey technical concepts to non-experts.

Benefits

Compensation ranges from $125.5k–$212.8k based on market location and experience.
Equity, sign-on payments, and other forms of compensation may be provided.
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