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Contract Amazon Data Science Jobs (NOW HIRING)

Ztek Consulting INC

Data Scientist

Charlotte, NC · On-site

Contract Key Responsibilities * Design and implement end-to-end machine learning ML pipelines using services such as Amazon SageMaker AWS Glue AWS Lambda and Amazon S3 * Perform data collection ...

University of Delaware

Manager, Data Science

Newark, DE · Hybrid

Manager, Data Science Job no: 503286 College / VP Area: VP Finance & Deputy Treasurer Work type ... Design, implement, and evaluate scalable data models using SQL on Amazon Redshift, and collaborate ...

Merican

Specialist II - Data Science

Los Angeles, CA · On-site

Amazon ElastiCache (Redis) for session state and caching. * DynamoDB for scalable, low-latency data ... API contracts and versioning * Reliability (retry logic, circuit breakers, idempotency) * Enable ...

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Contract Amazon Data Science information

What are the key skills and qualifications needed to thrive as a Contract Amazon Data Scientist, and why are they important?

To thrive as a Contract Amazon Data Scientist, you need strong analytical skills, proficiency in statistics and machine learning, and a relevant degree in computer science, statistics, or a related field. Experience with Python or R, SQL, AWS services, and familiarity with data visualization tools like Tableau are typically required. Effective communication, problem-solving abilities, and adaptability are essential soft skills that set candidates apart. These skills ensure you can extract actionable insights from large datasets, communicate findings clearly, and drive data-informed decisions in Amazon's fast-paced environment.

What are some common challenges faced by contract data scientists working with Amazon teams?

Contract data scientists at Amazon often need to quickly adapt to new teams and proprietary tools, while delivering insights under tight deadlines. Navigating Amazon's large-scale data infrastructure and understanding internal processes can be challenging initially. However, collaboration with cross-functional stakeholders, such as product managers and engineers, is encouraged to ensure project alignment and success. Contract roles typically offer exposure to cutting-edge projects, providing valuable experience and networking opportunities within Amazon's dynamic environment.

What are Contract Amazon Data Science jobs?

Contract Amazon Data Science jobs are temporary or project-based roles where professionals use data analysis, machine learning, and statistical techniques to support Amazon's business goals. These positions typically involve working on specific data-driven projects, such as optimizing supply chains, improving recommendation systems, or analyzing customer behavior. Contractors may be hired for a set period or until project completion, and they often collaborate with Amazon's full-time data scientists and engineers. These roles require strong technical skills in programming, data analysis, and familiarity with tools like Python, SQL, and AWS services.
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Contract Amazon Data Science jobs near you

Data Scientist

Ztek Consulting INC

Charlotte, NC • On-site

Contractor

Posted 3 days ago

Job description

Role Name: Data Scientist

Location: Charlotte, NC / hybrid

Type of hire: Contract

JOB DESCRIPTION:

Key Responsibilities

  • Design and implement end-to-end machine learning ML pipelines using services such as Amazon SageMaker AWS Glue AWS Lambda and Amazon S3
  • Perform data collection cleaning and feature engineering to prepare datasets for modeling
  • Develop predictive models and statistical analyses using Python R or similar tools
  • Deploy monitor and optimize ML models in production environments using AWS ML Ops best practices
  • Collaborate with data engineers to design ETL pipelines and ensure data availability and reliability
  • Utilize AWS analytics services Athena Redshift QuickSight EMR for advanced reporting and visualization
  • Work with stakeholders to translate business objectives into data science solutions and actionable insights
  • Apply AIML algorithms for use cases such as forecasting anomaly detection NLP computer vision and recommendation systems
  • Maintain compliance with security and governance standards for data management on AWSKey Responsibilities
  • Design and implement end to end machine learning ML pipelines using services such as Amazon SageMaker AWS Glue AWS Lambda and Amazon S3
  • Perform data collection cleaning and feature engineering to prepare datasets for modeling
  • Develop predictive models and statistical analyses using Python R or similar tools
  • Deploy monitor and optimize ML models in production environments using AWS ML Ops best practices
  • Collaborate with data engineers to design ETL pipelines and ensure data availability and reliability
  • Utilize AWS analytics services Athena Redshift QuickSight EMR for advanced reporting and visualization
  • Work with stakeholders to translate business objectives into data science solutions and actionable insights
  • Apply AIML algorithms for use cases such as forecasting anomaly detection NLP computer vision and recommendation systems
  • Maintain compliance with security and governance standards for data management on AWS