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Intern Data Scientist Machine Learning Jobs in New York

Fusemachines

Lead Data Scientist

New York, NY · Remote

$110K - $140K/yr

The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and ...

OpenX

Data Scientist III

New York, NY · On-site

A Data Scientist III is a proficient, fully independent scientist who owns medium-to-large data ... The ideal candidate brings a solid applied machine learning foundation, growing judgment in ...

Talentrupt

Data Scientist

Newark, NJ · On-site

Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing ...

Carlyle

AlpInvest Embedded Data Scientist

New York, NY · On-site +1

$180K - $200K/yr

The ideal candidate can move seamlessly between developing machine learning models and engaging ... AI & Data Science Innovation * Develop and improve predictive models leveraging structured and ...

Atrosphere Technologies

Data Scientist

Manhattan, NY · On-site

$80 - $120/hr

Join our data science team to help transform data into actionable insights. You will work on ... Develop and implement machine learning models * Create data visualizations and reports

New

Cadent

Lead Data Scientist

New York, NY

M.S. or higher in computer science, mathematics, operations research, statistics or related discipline with a focus on machine learning; or the equivalent of 6-7 years' experience in a Data Science ...

Compunnel

PHD AI/ML Data Scientist

New York, NY · On-site

... Machine Learning, advanced data modeling, and statistical analysis. The ideal candidate will have extensive experience designing, developing, validating, and deploying scalable AI/ML solutions to ...

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Intern Data Scientist Machine Learning information

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in New York? The most popular types of Data Scientist Machine Learning jobs in New York are:
What are popular job titles related to Intern Data Scientist Machine Learning jobs in New York? For Intern Data Scientist Machine Learning jobs in New York, the most frequently searched job titles are:
What job categories do people searching Intern Data Scientist Machine Learning jobs in New York look for? The top searched job categories for Intern Data Scientist Machine Learning jobs in New York are:
What cities in New York are hiring for Intern Data Scientist Machine Learning jobs? Cities in New York with the most Intern Data Scientist Machine Learning job openings:
Intern Data Scientist Machine Learning jobs near you

Lead Data Scientist

Fusemachines

New York, NY • Remote

$110K - $140K/yr

Full-time

Re-posted 27 days ago

Job description

About Fusemachines

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail,  manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

About the role

A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams.

 

Responsibilities:

  • Lead a team of data scientists to develop innovative solutions to complex business problems.
  • Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions.
  • Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue.
  • Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems.
  • Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner.
  • Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems.
  • Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work.
  • Responsible for developing, implementing, and managing the end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability.
 

Requirements of the role:

  • Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field.
  • 6+ years experience in Data Scientist or Machine learning. 
  • Strong programming skills in languages such as Python
  • Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow
  • Experience with cloud compute environments such as AWS, GCP, Azure
  • Experience leading data science teams.
  • Ability to work independently and manage multiple projects simultaneously.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills both written and verbal.
  • Experience in industries such as finance, healthcare, e-commerce, retail, or marketing is a plus.
Nice to have:
- R, C++, and SQL, Gen AI

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
 

Important: Immigration Sponsorship Policy

Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including:

  • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas.
  • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation.
  • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).
Please read carefully the restrictions before applying.

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