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Data Science Internship No Experience Jobs in Syracuse, NY

Exalt

Internship Coordinator

Syracuse, NY · On-site

Coordinate the placement of graduate interns at extended 3-month graduate internship sites and provide support during their internship experience to circumvent attrition. * Ensure that all data ...

Exalt Youth

Internship Coordinator

Syracuse, NY

Coordinate the placement of graduate interns at extended 3-month graduate internship sites and provide support during their internship experience to circumvent attrition. * Ensure that all data ...

Exalt Youth

Internship Coordinator

Syracuse, NY · On-site

$60K/yr

Coordinate the placement of graduate interns at extended 3-month graduate internship sites and provide support during their internship experience to circumvent attrition. * Ensure that all data ...

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How much do data science internship no experience jobs pay per hour?

As of May 28, 2026, the average hourly pay for data science internship no experience in Syracuse, NY is $22.24, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.23 per hour, depending on experience, location, and employer.

What is a Data Science Internship No Experience job?

A Data Science Internship with no experience is an entry-level opportunity for students or beginners to gain hands-on exposure to data science tasks. These roles typically involve working with datasets, performing basic data analysis, and assisting with machine learning models under the guidance of experienced professionals. Employers usually look for candidates with knowledge of Python, SQL, and data visualization, even if they have no prior work experience. The goal of the internship is to build practical skills and gain industry experience for future career opportunities.

What are the key skills and qualifications needed to thrive in the Data Science Internship No Experience position, and why are they important?

To thrive as a Data Science Intern with no prior experience, you should have a foundational understanding of statistics, basic programming skills (especially in Python or R), and an eagerness to learn. Familiarity with tools like Excel, Jupyter Notebook, and introductory data visualization libraries is beneficial, while online certifications (such as Coursera or DataCamp courses) can strengthen your application. Strong analytical thinking, effective communication, and a collaborative attitude are valuable soft skills. These competencies allow you to contribute to data projects, understand stakeholder needs, and grow quickly in a supportive learning environment.

What types of projects and tasks do Data Science Interns with no experience typically work on?

Data Science Interns with no prior experience often support project teams by assisting with data cleaning, performing exploratory data analysis, and creating basic visualizations to communicate findings. You may be tasked with writing simple scripts, formatting datasets, and helping prepare reports or presentations for internal stakeholders. Most internships also provide mentorship, allowing you to observe and contribute to more complex machine learning or analytics projects as your skills develop. This hands-on exposure helps you gain practical experience, build your portfolio, and better understand how data science teams operate in real-world settings.
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Data Scientist

Data Scientist

Zimmerman Advertising

Skaneateles Falls, NY • 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

Required Skills

Required Experience

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