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Temporary Data Scientist Machine Learning Jobs in New York

Nelo

Data Scientist (Machine Learning)

Manhattan, NY · On-site

Nelo is a leading consumer fintech and e-commerce platform in Mexico, and they are seeking a Data Scientist to build decision engines for credit access in emerging markets. The role involves ...

Nelo Mobile

Data Scientist (Machine Learning)

New York, NY · On-site

$180K - $230K/yr

Move fast, learn fast: hundreds of experiments run monthly; rigorous experimentation culture Why this Role is Different Most Data Science roles currently on the market are focused on optimizing ad ...

Nestle

Senior Data Scientist

Bridgewater, NJ · On-site

Analyze large and complex datasets to identify patterns, build statistical and machine learning ... Integrate the latest data science innovations into product solutions, enhancing data, analytical ...

Nestlé S.A.

Senior Data Scientist

Bridgewater, NJ · On-site

$130 - $160/hr

We are looking for a Senior Data Scientist to develop and deploy advanced analytics and AI ... Experience applying machine learning techniques, including Regression, Clustering, Probability ...

Avenue Code, LLC

Data Scientist

Manhattan, NY · On-site

We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what''s possible with machine learning and statistical modeling. About the ...

Valid8 Financial, Inc.

Data Scientist

Manhattan, NY · On-site

$120 - $170/hr

The Data Scientist will be responsible for designing, developing, evaluating, and optimizing machine learning models that solve complex business problems for our enterprise clients. This role ...

Virtusa Corporation

Data Scientist AIML

New York, NY · On-site

Data Scientist AI ML Advanced Analytics Position Summary We are seeking an analytical and ... Machine Learning This role focuses on discovering actionable insights from complex datasets ...

BMW Group

Lead Data Scientist

Woodcliff Lake, NJ · On-site

$181.71 - $201.30/hr

Lead Data Scientist Salary: $181,712.96- $201,300.00/ year. Duties : Lead the analysis of business ... machine learning methods, and recommend improvements; work with large data sets from inside and ...

SysMind Tech

Machine Learning

Manhattan, NY · On-site

$85/hr

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 ...

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Temporary Data Scientist Machine Learning information

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.

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

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

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 Temporary Data Scientist Machine Learning jobs in New York?

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

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

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

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

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

Temporary Data Scientist Machine Learning jobs near you
Infographic showing various Temporary Data Scientist Machine Learning job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Scientist (Machine Learning)

Nelo

Manhattan, NY • On-site

Full-time

Re-posted 11 days ago

Job description

Job Summary:
Nelo is a leading consumer fintech and e-commerce platform in Mexico, and they are seeking a Data Scientist to build decision engines for credit access in emerging markets. The role involves designing causal inference models, creating algorithms for credit pricing, and leading ML infrastructure projects.
Responsibilities:
• Solve the "Why," not just the "What": You will design and deploy causal inference models to drive our underwriting and portfolio management strategies.
• Build the Core Engine: You will create and refine the algorithms for credit pricing, personalization, and ranking.
• Own the Infrastructure: You won't just hand off a Jupyter notebook to an engineer. You will lead ML infrastructure projects, ensuring observability and operational excellence for the models you build.
Qualifications:
Required:
• Strong academic background (PhD preferred)
• Deep theoretical roots in classification, forecasting, and optimization
• At least 5 years of experience applying theoretical knowledge in a production environment
• Proficient in writing production-grade Python
• Proficient in SQL
• Ability to balance intellectual rigor with the need to execute
• Willingness to work in-office in NYC
Company:
Nelo increases the buying power for consumers in LatAm. Backed by Two Sigma Ventures, Homebrew, Susa Ventures, and more. Founded in 2019, the company is headquartered in Mexico City, MEX, with a team of 11-50 employees. The company is currently Early Stage.

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