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Data Scientist With Sagemaker Jobs (NOW HIRING)

Launch Consulting

Senior Data Scientist

Chicago, IL · On-site

$140K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry. * Strong stakeholder management skills and the ability to ...

Launch Consulting

Sr. Data Scientist

Bellevue, WA · On-site

$140K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry. * Strong stakeholder management skills and the ability to ...

SOLTECH

Data Scientist

Duluth, GA · On-site

Senior Data Scientist (Machine Learning & MLOps) Our client is seeking a Data Scientist (Machine ... Hands-on experience with AWS SageMaker, AWS Glue, and related AWS analytics services. * Strong ...

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

$170 - $230/hr

As Data Scientist Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... AWS SageMaker/Bedrock, and hands‑on experience with CNN/transformer architectures, OCR ...

New

Doist

Data Scientist

Chandler, AZ · On-site

$140 - $190/hr

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong experience in Generative AI, traditional Machine Learning, and ML Ops. The ideal candidate will have ...

Tech Consulting

Be Seen First

Data Scientist

New York, NY · On-site

$30 - $35/hr

  • Medical

  • PTO

We are looking for a Software Engineer / Data Scientist with strong Python development skills and a passion for solving technical problems using data. This role is ideal for someone with at least one ...

Select Minds LLC

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Data Scientist - Integrated Operations Location: Dallas, TX (Hybrid Remote) In-Person Interview ... Preferred Experience - Experience with AWS cloud services (e.g., SageMaker, Lambda, Glue, EMR ...

CCS INC

Data Scientist

Plano, TX · On-site

$110 - $150/hr

  • Medical

  • Dental

  • Vision

Familiarity with version control (Git) and CI/CD for model deployment * Comfort working in cloud ML environments (AWS SageMaker, Azure ML, or similar) * A track record of applying data science to ...

Vosper Thornycroft Group

Data Scientist

Beavercreek, OH · On-site

$120 - $150/hr

The Data Scientist will design, prototype, and implement a data management and application ... Experience with AI/ML development tools and libraries (e.g. Sagemaker, ML Studio, Tensorflow, Keras ...

CCS INC

Data Scientist

Plano, TX · On-site

$62 - $67/hr

  • Medical

  • Dental

  • Vision

Familiarity with version control (Git) and CI/CD for model deployment * Comfort working in cloud ML environments (AWS SageMaker, Azure ML, or similar) * A track record of applying data science to ...

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All JobsData Scientist With Sagemaker Jobs

Data Scientist With Sagemaker information

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$37.5K

$122.7K

$196.5K

How much do data scientist with sagemaker jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data scientist with sagemaker in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a data scientist with SageMaker?

A Data Scientist with SageMaker is a professional who leverages Amazon SageMaker, a cloud-based machine learning platform, to build, train, and deploy machine learning models at scale. They are skilled in data analysis, statistical modeling, and using SageMaker's tools for tasks such as data preprocessing, model selection, and automated machine learning (AutoML). These data scientists streamline workflows by taking advantage of SageMaker's integrated Jupyter notebooks, managed training, and deployment services to deliver insights and predictive solutions efficiently.

How does a data scientist with SageMaker typically collaborate with engineering and DevOps teams?

As a Data Scientist utilizing SageMaker, you will frequently collaborate with engineering and DevOps teams to ensure that your machine learning models are seamlessly integrated into production environments. This involves sharing model artifacts, working together on deployment pipelines, and optimizing cloud resource usage. Clear communication is essential, as you'll need to explain model requirements and performance metrics to technical stakeholders. Collaboration often includes conducting code reviews, troubleshooting deployment issues, and participating in discussions about scalability and security within AWS infrastructure.

What is the difference between Data Scientist With Sagemaker vs Data Scientist?

AspectData Scientist With SagemakerData Scientist
Required SkillsMachine learning, AWS Sagemaker, Python, data analysisData analysis, machine learning, Python, R, SQL
Work EnvironmentCloud-based platforms, AWS ecosystemOn-premises or cloud, various platforms
CertificationsAWS certifications beneficialData science certifications (e.g., CAP, DASCA)
Industry UsageTech, finance, healthcare using AWSBroad across industries

While both roles involve data analysis and machine learning, Data Scientist With Sagemaker specializes in deploying models using AWS Sagemaker, focusing on cloud-based solutions. In contrast, Data Scientist roles are broader, covering various tools and platforms. The Sagemaker role emphasizes cloud skills and AWS certifications, making it ideal for cloud-centric organizations.

What are the key skills and qualifications needed to thrive as a data scientist with SageMaker?

To thrive as a Data Scientist with SageMaker, you need strong skills in statistics, machine learning, programming (Python, R), and a solid background in data analysis, typically supported by a relevant degree. Mastery of AWS SageMaker, cloud platforms, version control tools, and certifications like AWS Certified Machine Learning are highly valued. Excellent problem-solving, communication, and the ability to work collaboratively set outstanding professionals apart in this role. These skills are crucial for building, deploying, and explaining scalable machine learning models that deliver real business value.
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Data Scientist With Sagemaker jobs near you
Infographic showing various Data Scientist With Sagemaker job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist

Launch Consulting

Chicago, IL • On-site

$140K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description


Be a part of our success story. At Launch, we offer talented and driven professionals the opportunity to deliver high-impact work in a dynamic, fast-growing environment. We invest in our people through competitive compensation, exceptional benefits, internal growth pathways, and meaningful community involvement. For senior professionals ready to shape the future of AI and Data Science, your next big opportunity starts here.
The Role:
As a Senior Data Scientist, you will lead the design and development of advanced machine learning and AI solutions that solve complex business challenges. You'll apply a deep technical foundation in data science, spanning statistics, modeling, software engineering, and domain expertise, while helping set technical direction, mentor team members, and influence decision-making across the organization. You will work closely with stakeholders and cross-functional teams to define use cases, architect scalable solutions, and drive innovation through GenAI, LLMs, NLP, computer vision, and other cutting-edge techniques.
Key Responsibilities:
  • Lead advanced Data Science initiatives from ideation to deployment, ensuring alignment with business strategy and measurable outcomes.
  • Develop, implement, and optimize AI/ML models across a range of domains, including predictive analytics, GenAI, LLMs, time series, deep learning, and NLP.
  • Conduct rigorous exploratory data analysis and feature engineering to uncover insights and support robust model development.
  • Architect data preprocessing pipelines that ensure clean, high-quality, and well-structured data for training and evaluation.
  • Apply experimental design best practices (e.g. A/B testing, cross-validation, randomization) to ensure statistical rigor and reduce model bias/overfitting.
  • Own the deployment and monitoring of ML solutions on modern cloud platforms (Databricks, AWS SageMaker, Azure ML, Snowflake, etc.).
  • Serve as a technical advisor and thought leader, guiding internal stakeholders on AI capabilities, data strategy, and industry best practices.
  • Mentor and support the development of junior and mid-level data scientists through code reviews, pair programming, and knowledge sharing.
  • Communicate effectively across technical and non-technical audiences, including executive leadership, to influence and drive adoption of data-driven solutions.
Required Qualifications:
  • 7+ years of hands-on experience in Data Science, with a strong track record of delivering end-to-end AI/ML solutions in production environments.
  • Deep expertise in Python, including libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, spaCy, and/or Hugging Face.
  • Strong understanding of statistical modeling, regression, classification, clustering, and deep learning architectures.
  • Demonstrated experience applying GenAI, LLMs, NLP, or computer vision techniques to solve real-world business problems.
  • Proven ability to write advanced SQL and work with complex data structures across relational and non-relational databases.
  • Experience with data pipeline orchestration and preprocessing of structured and unstructured data at scale.
  • Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry.
  • Strong stakeholder management skills and the ability to thrive in a high-paced, constantly evolving environment.
  • Excellent verbal and written communication skills, including the ability to present complex technical concepts clearly and persuasively.
Preferred Qualifications:
  • Experience with project delivery frameworks and tools such as Azure DevOps, JIRA, or Agile methodologies.
  • Experience working with Electronic Medical Record systems and healthcare data file types (e.g., HL7, FHIR, CCD).
  • Certifications related to Epic, FHIR, or other health IT platforms are a plus.
  • Familiarity with data architecture tools (e.g., Miro, Visio, LucidChart) for technical design documentation.
  • Knowledge of modern cloud-based data solutions such as Azure Synapse, Snowflake, Redshift, or BigQuery.
Benefits & Compensation:
As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits - medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated wage range for this role is $140,000-180,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.
The consulting industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the recruiter to ensure it's from @launchcg.com - and not a domain with an alternative extension like .net, .org or .jobs. Candidate safety is a top priority at Launch.
Launch Consulting is an equal opportunity employer. It is our practice not to discriminate against any employee or applicant based on any criteria, condition or basis protected by laws or regulations in the locations where we do business. All qualified applicants are encouraged to apply. We celebrate diversity and are committed to providing an environment of mutual respect. We believe that diversity, equity and inclusion enable us to better meet our mission and values while serving our clients across the globe. If you have a disability or handicap and would like us to accommodate you in any reasonable way, please inform your Launch representative, or contact us, so that we can discuss the appropriate alternatives available.

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