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Evening Amazon Data Science Jobs in Bridgeview, IL

Senior Data Scientist

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Advanced Python experience for data science, machine learning, model experimentation, automation ... AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock ...

Senior Data Scientist

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Advanced Python experience for data science, machine learning, model experimentation, automation ... AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock ...

Master's degree with 3-5 years of relevant post-collegiate work experience in data science * A ... Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database ...

Data Scientist

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong Python experience for data science, machine learning, model experimentation, automation, API ... AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock ...

Data Scientist

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong Python experience for data science, machine learning, model experimentation, automation, API ... AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock ...

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Showing results 1-20

Evening Amazon Data Science information

See Bridgeview, IL salary details

$45.4K

$132.5K

$181.3K

How much do evening amazon data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for evening amazon data science in Bridgeview, IL is $132,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,900.00 and $140,400.00 per year, depending on experience, location, and employer.

What is an evening Amazon data science job?

An Evening Amazon Data Science job typically involves working as a data scientist at Amazon during evening hours, either as part of a flexible schedule or to cover specific business needs. Data scientists at Amazon analyze large datasets, develop predictive models, and provide insights to improve products, services, or operations. Working evening shifts may be ideal for those seeking non-traditional hours or balancing other commitments. Responsibilities are similar to daytime roles but may require additional collaboration with global teams or support for time-sensitive projects.

What are some common challenges faced by data scientists working evening shifts at Amazon, and how can they be managed?

Data scientists working evening shifts at Amazon may face challenges such as coordinating with colleagues in different time zones, maintaining effective communication with daytime teams, and managing work-life balance. To overcome these hurdles, it's helpful to leverage collaborative tools like Slack or Amazon Chime for asynchronous communication, schedule overlap meetings when possible, and establish clear expectations with team members. Additionally, evening shift roles can offer the advantage of uninterrupted focus time for deep analysis and model development, which can contribute to higher productivity and skill growth.

What are the key skills and qualifications needed to thrive as an evening Amazon data science professional, and why are they important?

To thrive as an Evening Amazon Data Science professional, you need a strong background in statistics, machine learning, and data analysis, typically supported by a relevant degree in computer science, mathematics, or a related field. Proficiency with tools like Python, SQL, AWS services (such as Redshift or S3), and data visualization platforms is essential, along with experience using version control systems. Strong communication skills, problem-solving abilities, and adaptability to work independently during non-standard hours help you stand out in this role. These skills ensure you can effectively derive insights, collaborate across teams asynchronously, and support data-driven decision-making in Amazon’s dynamic environment.

What is the difference between Evening Amazon Data Science vs Amazon Data Analyst?

AspectEvening Amazon Data ScienceAmazon Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's degree in Data Analysis, Business, or related fields; proficiency in Excel, SQL
Work EnvironmentFocus on developing models, algorithms, and advanced analytics during evening shiftsData reporting, visualization, and supporting business decisions, often during regular hours
Employer & Industry UsageUsed in tech and e-commerce sectors for machine learning and predictive modelingCommon in retail, e-commerce, and logistics for data reporting and insights

While both roles involve working with data at Amazon, Evening Amazon Data Science focuses on advanced analytics and model development during evening hours, whereas Amazon Data Analysts primarily handle data reporting and insights during regular hours. The roles differ in technical complexity and daily responsibilities but share a common goal of leveraging data to improve business outcomes.

Does Amazon have an evening shift?

Amazon offers evening shifts for various roles, including data science positions, to support 24/7 operations. These shifts typically start in the late afternoon or evening and may require flexibility in working hours. Availability of evening shifts can vary by location and department.

What cities near Bridgeview, IL are hiring for Evening Amazon Data Science jobs?

Cities near Bridgeview, IL with the most Evening Amazon Data Science job openings:

Associate Director, Data Science

Starcom Mediavest Group Germany Gmbh

Chicago, IL • On-site

$60K - $61K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


Job description

Company Description

Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals.

Job DescriptionThe Senior Analyst, Data Science is part of a team tasked with designing, developing, and delivering advanced ML-based products and analytic solutions integrated into the Publicis CoreAI workflows and end-product offerings. We are seeking a hands-on data science practitioner who has applied his technical expertise to innovative data and ML analytic problems.  Successful candidates will have delivered end products to internal teams and/or clients. The ideal candidate blends technical-domain expertise with hands-on modeling and data engineering experience in leveraging structured & unstructured data, innovative modeling techniques, and technology platforms to develop and deploy effective applications that will be embedded in our CoreAI workflows.  It is essential for the candidate to be able to interpret results and find the story within the data and statistical results.Responsibilities

Data Science Solutions:

  • As a Sr. Analyst, contribute to the development of essential ML-based data products and analytic solutions for the Publicis CoreAI workflows and marketplace offering. You will be collaborating with other data scientists and data engineers from partner Publicis teams in-house.
  • Partnering with peers in related technical areas (such as technology and product engineering), bring your technical domain expertise to audit/assess and maintain our current data science capabilities and offerings to support media & marketing planning and operations functions.
  • Establish and maintain ML Ops for the internal data science team to provide model governance across the organization and product suite.
  • Operate in a constant 'growth hacking' mode that seeks to enhance our current suite of AI-based analytic data products. Produce Proof-of-Concepts to evaluate new tools.
  • Stay ahead of the curve by continuously exploring, evaluating, and adopting innovative technologies to enhance development efficiency.

Subject Matter Technical Expertise:

  • Work and communicate effectively with partner product collaborators. Translate client needs and output requirements into AI/ML solution architecture, tools, tasks, and code. This work aims to improve the Publicis CoreAI offering.  
  • Experience and expertise with statistical segmentation methodologies.
  • Hands-on expertise and deep knowledge of multiple programming languages, frameworks, and tools to build elegant ML/AI/GenAI applications. These applications solve practical problems.   Able to adopt new languages and paradigms, applying them to the problem domain where they deliver significant benefit.
  • Participate in the development of tools that will enable teams to produce high-quality audiences and insights.
  • Ability to model in multiple data domains & platforms.
  • Work with internal clients to define scope, objectives, outcomes, and design criteria for the most effective AI/ML solutions set.
  • Collaborate with cross-functional teams-including product strategists, data & technology engineers, and business analysts-as you develop and deliver innovative AI/ML features and services that will lead to successful workflow implementations.
  • Ensure projects adhere to quality standards, timelines, and budgets, managing client expectations effectively (as needed).

Domain Thought-Leadership & Industry Innovation:

  • Stay abreast of trends, technologies, and guidelines in the data science field.  
  • Support internal knowledge-sharing and training programs to elevate the team's expertise.
  • Collaborate with other data scientists on the team and beyond.
  • Help set a higher standard for the organization in your technical area.  
Qualifications
  • Minimum of 3 years of experience in data science and advanced analytics.
  • Experience with the development of ML solutions in a fast-moving, innovation-focused organization in categories such as e-commerce/retail (e.g., Chewy, Wayfair), entertainment/media/travel (e.g., Spotify, Expedia), advertising platforms/services (e.g., Google, Amazon).
  • Demonstrable history of hands-on coding with a portfolio that showcases your prowess.
  • Mastery of multiple programming languages and development tools. Experience building products used by other developers.
  • Proven track record of building successful models and modeling applications in a collaborative work environment.
  • A reputation for writing code and developing applications that have not only earned the respect of your peers but have also left them in awe.
  • Exceptional problem-solving skills and a proactive approach to overcoming challenges.

Preferred Skills:

  • Strong communication and presentation skills with the ability to effectively engage clients and stakeholders.
  • Experience with agile and other progressive development methodologies.
  • Exceptional problem-solving skills and a proactive approach to overcoming challenges.
  • Experience with Databricks

Education:

  • Advanced degrees (M.Sc./PhD) in Computer Science, Engineering, Math, or a related field are preferred.
  • Certifications in analytics or data science (e.g., AWS Certified Data Analytics, Certified Analytics Professional) preferred.
Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

Veterans Encouraged to Apply.

#LI-AM3

 Compensation Range: USD $112,290.00 - USD $161,280.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/14/2026.Employment Type: FULL_TIME