Talascend SL, LLC
AWS Data Scientist
Talascend SL, LLC, Troy, Michigan, United States, 48083
Talascend is currently seeking an AWS Data Scientist for a temp-to-hire position in Benton Harbor, Michigan.
HYBRID SCHEDULE:
Monday through Thursday on-site.Friday remote.
RESPONSIBILITIES:
Collaborate with cross-functional teams to identify and define data science projects that align with business objectives.Gather, clean, and preprocess large datasets from various sources.Develop and implement machine learning models and algorithms to solve business problems.Utilize a wide range of AWS services such as Amazon SageMaker, Amazon Redshift, Amazon Glue, AWS Lambda, and AWS Elastic Beanstalk to perform data analysis, model training, and deployment.Build and deploy serverless applications and microservices using AWS Lambda and Amazon API Gateway.Leverage AWS Elastic Beanstalk for deploying, managing, and scaling web applications and endpoints.Monitor and optimize the performance and cost of AWS resources through AWS Cost Explorer and AWS Trusted Advisor.Collaborate with DevOps teams to ensure seamless integration of data science solutions into the AWS cloud infrastructure.Visualize and communicate results and insights to non-technical stakeholders.Stay up-to-date with the latest developments in data science and AWS technologies to continuously improve our capabilities.
REQUIREMENTS:
Proven experience as a Data Scientist with a strong track record of delivering data-driven insights and solutions.Hands-on experience with AWS (Amazon Web Services) services and tools, including but not limited to Amazon SageMaker, AWS Glue, Amazon Redshift, and AWS Lambda.Strong problem-solving skills and the ability to work on complex, unstructured problems.2 years of experience; AWS knowledge, machine learning (will take 1 year or right out of college with some experience. This is NOT a senior role)Proficiency in programming languages such as Python or R for data analysis and machine learning.
EDUCATION:
Bachelor's or advanced degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).
HYBRID SCHEDULE:
Monday through Thursday on-site.Friday remote.
RESPONSIBILITIES:
Collaborate with cross-functional teams to identify and define data science projects that align with business objectives.Gather, clean, and preprocess large datasets from various sources.Develop and implement machine learning models and algorithms to solve business problems.Utilize a wide range of AWS services such as Amazon SageMaker, Amazon Redshift, Amazon Glue, AWS Lambda, and AWS Elastic Beanstalk to perform data analysis, model training, and deployment.Build and deploy serverless applications and microservices using AWS Lambda and Amazon API Gateway.Leverage AWS Elastic Beanstalk for deploying, managing, and scaling web applications and endpoints.Monitor and optimize the performance and cost of AWS resources through AWS Cost Explorer and AWS Trusted Advisor.Collaborate with DevOps teams to ensure seamless integration of data science solutions into the AWS cloud infrastructure.Visualize and communicate results and insights to non-technical stakeholders.Stay up-to-date with the latest developments in data science and AWS technologies to continuously improve our capabilities.
REQUIREMENTS:
Proven experience as a Data Scientist with a strong track record of delivering data-driven insights and solutions.Hands-on experience with AWS (Amazon Web Services) services and tools, including but not limited to Amazon SageMaker, AWS Glue, Amazon Redshift, and AWS Lambda.Strong problem-solving skills and the ability to work on complex, unstructured problems.2 years of experience; AWS knowledge, machine learning (will take 1 year or right out of college with some experience. This is NOT a senior role)Proficiency in programming languages such as Python or R for data analysis and machine learning.
EDUCATION:
Bachelor's or advanced degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).