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Data Scientist With Sagemaker Jobs in Indiana (NOW HIRING)

Zimmerman Advertising

Data Scientist

Indianapolis, IN · On-site

The Data Scientist works closely with Retail Technology, Media and Account Services teams to ... Experience with Sagemaker AWS, Kafka, Python, R, SQL and NoSQL Databases, Spark, Scikit-Learn ...

Lilly

Data Scientist

Indianapolis, IN · On-site

Lilly is looking for a Data Scientist to join the technology team in Indianapolis, IN supporting ... Familiarity with cloud data platforms - AWS (SageMaker, Lambda, S3), Databricks, or similar

Equiliem

Databricks Data Scientist

Indianapolis, IN · On-site

Databricks Experience Required: 10 & Above We are seeking a Databricks Data Scientist with strong experience in Databricks Lakehouse, advanced analytics, and Genie (AI/BI) to design, build, and ...

Munich Re

AI Data Scientist

Carmel, IN · On-site +1

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... We are looking for a data scientist with proven expertise in executing AI/ML strategy, developing ...

Munich Re

AI Data Scientist

Indianapolis, IN · On-site +1

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... We are looking for a data scientist with proven expertise in executing AI/ML strategy, developing ...

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 ...

SynergisticIT

Data Scientist

Indianapolis, IN · On-site

We have an excellent reputation with the clients. Currently, we are looking for a Data Scientist. Recent computer science/engineering/mathematics/statistics or science graduates looking to make their ...

Authenticx

Data Scientist

Indianapolis, IN · On-site +1

Ideally, we would love someone with experience in a startup or small company, but if not, willingness to wear a lot of hats and a self-starter is great too. As a Data Scientist at A uthenticx , your ...

Authenticx

Data Scientist

Indianapolis, IN · Remote

Ideally, we would love someone with experience in a startup or small company, but if not, willingness to wear a lot of hats and a self-starter is great too. As a Data Scientist at A uthenticx , your ...

My3Tech Inc

Data Scientist

Indianapolis, IN · On-site

Data Scientist Indianapolis, IN (Onsite) 12 months Contract with possibility to extension Works with agency partners and translates business needs, define data sources and build high quality data ...

USM

Data Scientist

Columbus, IN

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 ...

Johnson & Johnson

Sr. Data Scientist

Warsaw, IN · On-site

The Senior Data Scientist will collaborate with a team of engineers, data scientists, and clinicians to support routine post market surveillance processes (e.g. complaint trending, quality system ...

Indeed

Data Scientist III

Indianapolis, IN · On-site

We're looking to grow our teams with more people who share our enthusiasm for innovation and ... Mentor and support other data scientists, promoting knowledge sharing and best practices.

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Data Scientist With Sagemaker information

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

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.

How does a Data Scientist working 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 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.

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 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

Data Scientist

Zimmerman Advertising

Indianapolis, IN • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.

Responsibilities:

  • Responsible for assisting the Lead Data Scientist and the data science team with building solution accelerators, pipeline development, and building integrations with our LLM Products on the Databricks platform
  • Using ML flow or similar application to create and serve up ML Models
  • Collaborate with cross-functional teams, including data scientists, product managers, data engineers, and software engineers, to design, develop and deploy machine learning models that meet business requirements.
  • Develop and maintain continuous integration and delivery pipelines for machine learning models, ensuring that they are tested, validated, and deployed in a consistent and reliable manner.
  • Perform data analysis and feature engineering to support machine learning model development.
  • Stay up to date with the latest advancements in machine learning and MLOps and evaluate new technologies that can improve our processes and models.
  • Provide mentorship and technical guidance to junior data scientists and machine learning engineers.
  • Leveraging open-source tools and building frameworks and components to improve and scale our Serving and ML platform

Requirements

  • Experience in both architecting and the hands-on implementation of infrastructure
  • Must have experience in the Media, Advertising or Marketing Industry
  • Can deploy ML model to a production cloud environment
  • Hands-on experience in GCP, Databricks or Apache Spark mandatory
  • Strong knowledge of ETL concepts and data processing workflows
  • Experience with ML libraries and predictive analytics
  • Experience with Sagemaker AWS, Kafka, Python, R, SQL and NoSQL Databases, Spark, Scikit-Learn, Keras/TensorFlow, PyTorch, Docker, CI/CD Pipelines, Git, or developing APIs.
  • Computer Science Degree or related field
  • 1 or more years of industry experience building scalable services and data driven platforms.
  • Experience with building ML infrastructure, writing production level code, & deploying Machine Learning models
  • Experience working on complex problems and systems where scalability and performance are very important
  • Strong problem solving and debugging skills. Entrepreneurial individuals who are passionate about AI ethics and causality

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