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Remote Amazon Data Science Jobs in Chicago, IL (NOW HIRING)

Tiger Analytics Inc.

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Design, develop, and deploy end-to-end data pipelines on AWS using services such as Amazon S3, AWS ...

Tiger Analytics Inc.

Senior Data Engineer

Chicago, IL · Remote

$108K - $147K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Design, develop, and deploy end-to-end data pipelines on AWS using services such as Amazon S3, AWS ...

Benchmark Solutions LLC

Data Analyst Lead

Chicago, IL · Remote

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Benchmark Analytics

Data Analyst Lead

Chicago, IL · Remote

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Stryker

Senior Lead Data Engineer (Remote)

Chicago, IL · On-site +1

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the ... Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems ...

Strike Social

Senior Data Scientist

Chicago, IL · Remote

Bachelor's degree or higher - Quantitative field such as Computing Science, Statistics, Mathematics ... Working hours are flexible and remote work is encouraged. We are an equal opportunity employer and ...

NinjaHoldings

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

Use advanced data analytics to understand consumer risk behavior trends, their impact on the ... Remote first culture with convenient downtown office in the heart of the city IMPORTANT NOTICE:

NinjaHoldings

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

Use advanced data analytics to understand consumer risk behavior trends, their impact on the ... Remote first culture with convenient downtown office in the heart of the city IMPORTANT NOTICE:

Federal Reserve Bank of Richmond

Data Architect

Chicago, IL · On-site +1

$65.75 - $84.50/hr

... science to accelerate value, delivery and outcomes for the business. The Data Architect will ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

Tiger Analytics Inc.

DS/AI Tech Leader

Chicago, IL · Remote

... remote global workforce. We are seeking a dynamic and experienced DS/AI Tech Partner (a Data Science Growth Leader) to join our team. This role will co-own business development and growth initiatives ...

Tiger Analytics Inc.

DS/AI Tech Leader

Chicago, IL · On-site +1

... remote global workforce. We are seeking a dynamic and experienced DS/AI Tech Partner (a Data Science Growth Leader) to join our team. This role will co-own business development and growth initiatives ...

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All JobsAmazon Data Science JobsRemote Amazon Data Science JobsRemote Amazon Data Science Jobs in Chicago, IL

Remote Amazon Data Science information

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

AspectRemote Amazon Data ScienceRemote Amazon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cross-functional projects, remote data science platformsRemote reporting, data interpretation, and visualization tasks within Amazon teams
Employer & Industry UsageAmazon's data science teams focusing on predictive modeling, ML, and AIAmazon's data analysis teams focusing on reporting, dashboards, and business insights

Remote Amazon Data Science involves developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Remote Amazon Data Analyst roles focus on interpreting data, creating reports, and supporting decision-making with less emphasis on coding. Both roles are integral to Amazon's data-driven strategies but differ in technical complexity and daily tasks.

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Remote Amazon Data Science jobs near you
Infographic showing various Remote Amazon Data Science job openings in Chicago, IL as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Data Engineer

Chicago, IL • On-site, Remote

Tiger Analytics Inc.
Business Management Consulting • 201 - 500 employees
Learn more about Tiger Analytics Inc.external

$109K - $148K/yr

Full-time

Posted 21 days ago

Key responsibilities

  • Design, develop, and deploy end-to-end data pipelines on AWS and other data platform technologies.

  • Build and maintain scalable data processing workflows and orchestrate pipelines using Apache Airflow.

  • Support the integration, processing, and optimization of pharmaceutical data sources and pipelines for analytics and AI workloads.

Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.
We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.
Requirements
Key Responsibilities:
  • Design, develop, and deploy end-to-end data pipelines on AWS using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, and related data platform technologies.
  • Build and maintain scalable data processing and transformation workflows using Databricks, Apache Spark, and SQL.
  • Develop and maintain Apache Airflow workflows for pipeline orchestration, scheduling, dependency management, monitoring, and automation.
  • Integrate and process commercial pharmaceutical data sources such as Xponent, Veeva, MMIT, Plantrak, Specialty Pharmacy, LAAD, and similar sources.
  • Build and optimize data pipelines supporting pharma KPIs, metrics, analytics, and reporting requirements.
  • Design and implement data pipelines for AI/ML and Generative AI workloads, including structured and unstructured data preparation.
  • Enable data pipelines supporting LLM-based applications, vector embeddings, and knowledge retrieval/RAG solutions.
  • Support migration of legacy data systems and pipelines to modern AWS cloud and lakehouse architectures.
  • Monitor, troubleshoot, and optimize data pipelines for performance, scalability, reliability, and cost-effectiveness.
  • Ensure data pipelines meet required standards for data quality, accuracy, consistency, and operational reliability.
  • Communicate effectively with technical and business stakeholders to understand requirements and translate pharmaceutical business needs into scalable data solutions.

Required Skills:
  • 8+ years of experience in Data Engineering, preferably with experience supporting commercial pharmaceutical/healthcare data environments.
  • Strong hands-on experience with AWS cloud, Databricks, Spark, and SQL
  • Strong experience building ETL/ELT data pipelines and large-scale data processing workflows.
  • Hands-on experience with Apache Airflow for workflow orchestration.
  • Strong understanding of data modeling, data lake/lakehouse architecture, data ingestion, and transformation frameworks.
  • Deep knowledge of commercial pharmaceutical data sources: Xponent, Veeva, MMIT, Plantrak, Specialty Pharmacy, LAAD, and other commercial pharma data sources
  • Strong understanding of pharmaceutical commercial data processes, including: Alignment, Allocation, Split credits, Market basket, Customer universe
  • Strong understanding of pharma KPIs, metrics, and commercial analytics.
  • Strong analytical, problem-solving, and data troubleshooting skills.

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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