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Temporary Data Scientist Machine Learning Jobs in New York

BMW Group

Lead Data Scientist

Woodcliff Lake, NJ · On-site

$181K - $201K/yr

Lead Data Scientist Posting Start Date: 7/20/26 Job Location (Long): Woodcliff Lake, New Jersey ... machine learning methods, and recommend improvements; work with large data sets from inside and ...

Forhyre

Data Scientist

New York, NY

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 ...

Forhyre

Data Scientist

New York, NY · On-site

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 ...

MasterCard

Senior Data Scientist

New York, NY · On-site

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 ...

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 ...

Tech Consulting

Be Seen First

Data Scientist

New York, NY · On-site

$30 - $35/hr

Software Engineer / Data Scientist Full Time Atlanta, GA - Must be open to relocating anywhere in ... Exposure to machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch. Experience ...

Traba

Senior Data Scientist

New York, NY · On-site

$180K - $215K/yr

We started in workforce-temp staffing, the biggest operational pain point for the manufacturing and ... Experience: 4-8 years in data science, machine learning, applied statistics, or quantitative ...

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 ...

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All JobsData Scientist Machine Learning JobsTemporary Data Scientist Machine Learning JobsTemporary Data Scientist Machine Learning Jobs in New York

Temporary Data Scientist Machine Learning information

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 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 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.

Lead Data Scientist

BMW Group

Woodcliff Lake, NJ • On-site

$181K - $201K/yr

Full-time

Posted 20 days ago

BMW Group rating

7.7

Company rating: 7.7 out of 10

Based on 190 frontline employees who took The Breakroom Quiz

10th of 44 rated automakers

Job description

Job Title: Lead Data Scientist
Posting Start Date: 7/20/26
Job Location (Long):
Woodcliff Lake, New Jersey United States
Job Description:
Employer: BMW of North America, LLC
Job Title: Lead Data Scientist
Location: Woodcliff Lake, NJ
Salary: $181,712.96- $201,300.00/ year.
Duties: Lead the analysis of business-critical data across products, domains, and primes, applying statistical, artificial intelligence, and machine learning methods, and recommend improvements; work with large data sets from inside and outside sources and conduct advanced analytical tasks, including data conversions, ETL, filtering, fusion, aggregations, data mining, feature engineering, and model input preparation; manage medium- to large-scale enterprise-wide projects in the area of smart analytics and data science initiatives, including project planning, effort estimation, and cost assessment, using Agile project delivery methodologies; build and maintain advanced AI/ML models and train them as necessary; ensure operational stability and security of AI/ML applications; mentor and guide junior data scientist and analysts for best AI/ML development practices and project delivery; advise on latest data analytics, data science, machine learning, and artificial intelligence technologies and digitalization transformation; perform development from complex data analyses using enterprise and cloud-native databases for business use in understanding data that impact strategy, sustainability, risk, and P&L; lead the preparation, documentation, and review of standard operating procedures and protocols for data science and analytical models, as well as required system documentation; define new disruptive processes, approaches, and tools in the space of data science and machine learning; collaborate with team members and stakeholders across multiple domains to build systems and processes that improve efficiency and competitive posture; create technology/process vision across BMW of North America; engage with business stakeholders to understand problem statements and identify opportunities for leveraging data and analytics to address key business needs; support development of robust IT system architectures for AI/ML systems, including deployment and operation on cloud platforms; and, communicate with external leaders on data science, AI/ML products and relevant organizations.
Postion is based in Woodcliff Lake, NJ (Hybrid Position/3 days on site)
Requires:
  • Master's degree in Data Science, Mathematics, Information Technology, Engineering, or related field (willing to accept foreign education equivalent) and,
  • Three (3) years of experience as a Data Scientist or related occupation in information technology; or alternatively
  • Bachelor's degree in Data Science, Mathematics, Information Technology, Engineering or related field (willing to accept foreign education equivalent) and,
  • Five (5) years of experience as a Data Scientist or related occupation in information technology.
    • Experience must include (quantitative experience requirements not applicable to this section): Tableau, Amazon QuickSight, or similar data visualization tools; programming and Analytical Coding using Python; advanced statistical analysis and machine learning; data lake and data hub technologies, including Hadoop, cloud data storage, and data mining solutions; Oracle, Postgres SQL or cloud-native databases; AWS and Azure cloud services; and, Agile project methodologies.

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