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Entry Level Data Scientist Machine Learning Jobs in New York

Stay updated with the latest trends and technologies in data science and machine learning. Basic Qualifications: Proficient in Python, Pandas, NumPy, Scikit-Learn, PySpark Bachelor s degree in ...

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 ...

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 ...

Essential Skills * 5+ years of professional experience in Data Science, Machine Learning, Advanced Analytics, Quantitative Research, Data Engineering, or related fields. * Strong proficiency in ...

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Development of machine learning models and other analytics following established workflows, while ...

Are you a data scientist who enjoys working directly with clients and making a direct and ... This position requires a strong command of statistical techniques and machine learning algorithms ...

Data Scientist

New York, NY · On-site

$85K - $90K/yr

Are you a data scientist who enjoys working directly with clients and making a direct and ... This position requires a strong command of statistical techniques and machine learning algorithms ...

... scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems Assess project requirements and develop data ...

Data Scientist- Associate

Montvale, NJ · On-site

$61K - $62K/yr

Required : • Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering • Minimum of a Bachelor's degree is required • ...

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Development of machine learning models and other analytics following established workflows, while ...

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Development of machine learning models and other analytics following established workflows, while ...

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Entry Level Data Scientist Machine Learning information

What is an entry level data scientist machine learning?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are the key skills and qualifications needed to thrive as an entry level data scientist machine learning?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are some common challenges faced by entry level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.

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 Entry Level Data Scientist Machine Learning jobs in New York?

For Entry Level Data Scientist Machine Learning jobs in New York, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Scientist Machine Learning jobs in New York look for?

The top searched job categories for Entry Level Data Scientist Machine Learning jobs in New York are:

What cities in New York are hiring for Entry Level Data Scientist Machine Learning jobs?

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

Infographic showing various Entry Level Data Scientist Machine Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Machine Learning

Manhattan, NY • On-site

$85/hr

Full-time

Re-posted 15 days ago


Job description

Title - Machine Learning ( F2F interview is required)
Location - New York, NY ( Hybrid 2-3 days onsite)
Rate - $85/hr
Job Description:
Analyze large and complex datasets to derive actionable insights and inform business strategies.
Develop and implement advanced machine learning models and algorithms.
Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
Communicate findings and recommendations to stakeholders and executive leadership.
Stay updated with the latest trends and technologies in data science and machine learning.
Basic Qualifications:
Proficient in Python, Pandas, NumPy, Scikit-Learn, PySpark
Bachelor s degree in Computer Science, Statistics, Applied Mathematics, or a related field.
Minimum of 2 years of experience in a data science role.
Proficiency in programming languages such as Python or R..
Strong understanding of machine learning techniques and algorithms.
Preferred Qualifications:
Experience with modern ML frameworks such as PyTorch, TensorFlow
Experience with big data technologies such as PySpark
Experience with ML model training within cloud infra such as Azure, AWS, GCP
Proven track record of successfully deploying and optimizing ML models in a production environment.
Excellent communication and visualization skills to effectively present data insights to non-technical stakeholders.