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Data Scientist With Sagemaker Jobs in Indiana (NOW HIRING)

Group1001

Staff ML Engineer

Zionsville, IN · On-site

... with data scientists * Feature Engineering Infrastructure: Experience with feature stores (SageMaker Feature Store, Feast, Tecton, or similar); designing feature pipelines for both batch and real ...

Group1001

Staff ML Engineer

Zionsville, IN · On-site

... with data scientists * Feature Engineering Infrastructure: Experience with feature stores (SageMaker Feature Store, Feast, Tecton, or similar); designing feature pipelines for both batch and real ...

Amatriot Group, LLC

Data Scientist

Crane, IN

$80K - $95K/yr

... a Data Scientist to provide engineering and technical support to assist our government customer ... Support LXN with engineering services as required. Travel and On-Site Support * Travel is expected ...

USM

Data Scientist

Columbus, IN · On-site

Established in 1999, the organization has corner qualities in building and dealing with a Business ... Data Scientist Location: Columbus, IN Duration: 9 weeks Primary Skills: this is a fixed fee project ...

The Nature Conservancy

NCS Data Scientist

Arlington, IN · On-site +1

Operate independently with minimal oversight, managing complex scientific projects from concept to delivery. * Work collaboratively and creatively, to efficiently deliver data, analyses, and tools ...

Brotherhood Mutual

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

Associate Data Scientist FLSA Status: Exempt Job Family: Research & Development Department ... Work with actuaries, analysts, and other stakeholders directly or indirectly to provide data ...

Brotherhood Mutual

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

Associate Data Scientist FLSA Status: Exempt Job Family: Research & Development Department ... Work with actuaries, analysts, and other stakeholders directly or indirectly to provide data ...

Elanco

Senior Data Scientist

Indianapolis, IN

ELAN) - it all starts with animals! As a global leader in animal health, we are dedicated to ... Senior Data Scientist We are seeking a highly motivated and experienced Senior Data Scientist to ...

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site +1

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in ... You'll collaborate with actuaries, finance leaders, and business stakeholders to enhance decision ...

Eightelevengroup

Sr. Data Scientist

Indianapolis, IN · On-site

$110.21 - $121.23/hr

Work with geospatial data formats including GeoJSON, Shapefile, GeoTIFF, WKT, and WKB * Develop ... in data science, GIS, or a related field * Strong proficiency in Python for geospatial data ...

New

Pwc

AI & GenAI Data Scientist-Director

Indianapolis, IN · On-site

$155K - $410K/yr

... with executive-level clients to shape strategic directions and deliver impactful solutions ... Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems ...

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Data Scientist With Sagemaker information

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.
What are popular job titles related to Data Scientist With Sagemaker jobs in Indiana? For Data Scientist With Sagemaker jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Scientist With Sagemaker jobs in Indiana look for? The top searched job categories for Data Scientist With Sagemaker jobs in Indiana are:
What cities in Indiana are hiring for Data Scientist With Sagemaker jobs? Cities in Indiana with the most Data Scientist With Sagemaker job openings:
Data Scientist With Sagemaker jobs near you

Data Scientist with Data Bricks Lakehouse contract C2C requirements

Tech Mirrors

Indianapolis, IN • On-site

$90 - $120/hr

Other

Posted 2 days ago

New

Job description

Position: Data Scientist with Data Bricks Lakehouse

Location: Indianapolis, IN (Onsite)

Duration: 8+ months

Description:

We are seeking a Databricks Data Scientist with strong experience in Databricks Lakehouse, advanced analytics, and Genie (AI/BI) to design, build, and deploy scalable data science and AI solutions. This role will focus on transforming enterprise data into actionable insights using machine learning, natural language analytics, and self-service BI powered by Databricks Genie.

Key ResponsibilitiesData Science & Machine Learning
  • Design, develop, and deploy machine learning models using Databricks (MLflow, Spark ML, Python).
  • Implement end-to-end ML pipelines (data ingestion→training→deployment→monitoring).
  • Collaborate with data engineers to ensure reliable, high-quality datasets in the Lakehouse.
Databricks & Lakehouse Architecture
  • Leverage Databricks Lakehouse (Delta Lake, Unity Catalog) for scalable analytics.
  • Optimize Spark jobs for performance and cost efficiency.
  • Apply best practices for data governance, lineage, and security.
Genie (AI/BI & Natural Language Analytics)
  • Configure and enable Databricks Genie for self-service analytics.
  • Design semantic layers and curated datasets optimized for natural language queries.
  • Partner with business stakeholders to translate questions into Genie-enabled insights.
Business Enablement & Collaboration
  • Work closely with product owners, analysts, and business leaders to identify high-value use cases.
  • Communicate complex analytical results in a clear, business-friendly manner.
Required Qualifications
  • Bachelor’s or master’s degree in data science, Computer Science, Statistics, Engineering, or a related field.
  • 4+ years of experience in data science or advanced analytics.
  • Hands‑on experience with Databricks and Apache Spark.
  • Strong programming skills in Python (PySpark, Pandas, NumPy, Scikit-learn).
  • Experience building and deploying ML models in production.
  • Solid understanding of SQL and data modeling.
  • Experience with MLflow, model lifecycle management, and experimentation.

Education: At least a bachelor’s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required.

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