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Apprentice Data Scientist Machine Learning Jobs in New York

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns ... We also want to see a passion for machine-learning and research. Your goal will be to help our ...

In this role, the successful candidate Data Engineer / Data Scientist will work to build the data foundation for the groups machine learning and decision-analytic research. This role has two ...

Title and Summary Senior Data Scientist Overview: We are seeking a Senior Data Scientist to design ... Design, build, and deploy machine learning models for ad targeting, ranking, and bidding ...

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 ...

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 ...

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 ...

Showing results 21-40

Apprentice Data Scientist Machine Learning information

What is the difference between Apprentice Data Scientist Machine Learning vs Data Scientist?

AspectApprentice Data Scientist Machine LearningData Scientist
Required CredentialsBasic degree, entry-level certificationsAdvanced degree (Master's or PhD), specialized certifications
Work EnvironmentInternships, training programs, entry-level projectsFull-time roles in various industries, independent project work
Employer & Industry UsageStartups, tech companies, research labsCorporate, finance, healthcare, tech firms
Search & Comparison IntentLearning path, entry-level roles, trainingCareer advancement, expertise, senior roles

In summary, Apprentice Data Scientist Machine Learning roles are entry-level positions focused on learning and skill development, often requiring basic education and certifications. Data Scientists typically hold advanced degrees and have more experience, working independently on complex projects across various industries. The main difference lies in experience level, responsibilities, and career stage.

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 cities in New York are hiring for Apprentice Data Scientist Machine Learning jobs?

Cities in New York with the most Apprentice Data Scientist Machine Learning job openings:

Data Scientist

Forhyre

New York, NY • On-site

Full-time

Re-posted 10 days ago


Job description

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.


In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.


Your goal will be to help our company analyze trends to make better decisions.


Responsibilities


  • Identify valuable data sources and automate collection processes
  • Undertake to preprocess of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Combine models through ensemble modelling
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams


Requirements


  • Proven experience as a Data Scientist or Data Analyst
  • Experience in data mining
  • Understanding of machine-learning and operations research
  • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
  • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
  • Analytical mind and business acumen
  • Strong math skills (e.g. statistics, algebra)
  • Problem-solving aptitude
  • Excellent communication and presentation skills
  • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred