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Part Time Data Scientist Machine Learning Jobs in New York

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

... Machine Learning or Statistical Analysis, Data Engineering and Data Visualization related work * Associate's and/or Bachelor's Degree * Well versed in knowledge of creating algorithms, identifying ...

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Part Time Data Scientist Machine Learning information

Is it possible to work part-time as a data scientist?

Yes, it is possible to work part-time as a data scientist. Many companies offer flexible schedules or project-based roles that allow data scientists to work fewer hours, especially for freelance or consulting positions. However, full-time roles are more common, and part-time opportunities may require strong self-management and relevant skills in machine learning, programming, and data analysis.

How do part time data scientists specializing in machine learning typically collaborate with full-time teams and stakeholders?

Part-time data scientists in machine learning roles often work closely with full-time team members through regular meetings, collaborative project management tools, and clear documentation. They may be responsible for specific components of a project, such as data preprocessing, model development, or evaluation, and are expected to provide frequent updates and integrate their work with the broader team’s efforts. Effective communication and proactive time management are key, as part-time professionals usually need to balance their limited hours with project milestones and cross-functional collaboration. This structure allows part-time data scientists to contribute significant value while maintaining flexibility.

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

AspectPart Time Data Scientist Machine LearningPart Time Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of machine learning algorithmsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and basic analytics
Work EnvironmentFocus on developing predictive models, machine learning algorithms, and advanced analyticsData cleaning, reporting, and descriptive analysis of datasets
Employer & Industry UsageTech companies, finance, healthcare, and industries leveraging AI and predictive analyticsRetail, marketing, finance, and other sectors requiring data reporting and insights

Part Time Data Scientist Machine Learning roles focus on building predictive models and applying machine learning techniques, requiring specialized skills and advanced knowledge. In contrast, Part Time Data Analysts primarily handle data cleaning, reporting, and descriptive analysis. Both roles are essential but differ in complexity and technical depth.

What are the key skills and qualifications needed to thrive as a part time data scientist machine learning?

To thrive as a Part Time Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch, as well as experience with data visualization tools and cloud platforms, is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you translate complex data insights for stakeholders and collaborate within teams. These competencies ensure you can develop accurate models, deliver actionable results efficiently, and adapt to the dynamic needs of part-time project work.

What does a part time data scientist specializing in machine learning do?

A part time data scientist with a focus on machine learning uses statistical methods and algorithms to analyze data and build predictive models, typically on a flexible or reduced schedule. They work with datasets to extract insights, clean and prepare data, train machine learning models, and help organizations make data-driven decisions. Their responsibilities may include collaborating with teams, presenting findings, and deploying models, but on a part-time basis, allowing for work-life balance or the pursuit of additional projects. This role is ideal for those seeking to contribute their expertise without committing to a full-time position.

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:

Part Time Data Scientist Machine Learning jobs near you

Adjunct, Data Science

Monmouth University

West Long Branch, NJ • On-site

Part-time

Retirement

Re-posted 14 days ago

Job description

Monmouth University is seeking qualified candidates for an Adjunct Professor of Data Science in the Computer Science and Software Engineering department. The successful candidate will teach undergraduate and/or graduate-level courses in Data Science.
Part-time adjunct faculty members typically teach 3-6 credits per semester, with class schedules determined based on departmental needs and candidate availability. Courses are taught in person at the West Long Branch campus. Adjunct positions remain posted continuously to expand the university's pool of qualified adjunct faculty. Screening of applications will commence when an open position becomes available. Should a position become available, you will receive an email advising you of the next steps.
This is an in-person, on-campus, non-remote position.
For additional information about the department, please visit the Department of Computer Science and Software Engineering webpage.
Additional Application Material Required:
Monmouth University requires all applications and supporting documents to be submitted via the university's career portal. In addition to the application, candidates must upload the following documents. Applications will not be considered complete for review until all required documents are uploaded.
  1. Resume or Curriculum Vitae
  2. Cover Letter
  3. Contact Information for Three Professional References
  4. Two Letters of Recommendation

Optional Documents: Additional materials such as evidence of teaching effectiveness or student mentoring.
Special Instructions to Applicants:
We encourage candidates to include information in the cover letter that addresses their approach to teaching and their plans to advance diversity, equity, and inclusion in their position at Monmouth University.
Duties and Responsibilities:
  • Teach 3-6 credits of undergraduate and/or graduate-level Data Science courses each semester, including topics such as data analytics, machine learning, ethics and bias in AI, applications of data science, advanced data science techniques, natural language processing, deep learning, computer vision, and low-code/no-code data analysis.
  • Develop and deliver course lectures, discussions and assignments in accordance with the curriculum and learning objectives.
  • Provide time during the week to meet with students outside of class.
  • Foster a positive and inclusive learning environment conducive to student engagement and academic success.
  • Develop and administer projects and exams to evaluate student learning outcomes and provide grades in a timely manner.
  • Provide timely feedback and guidance to students to support their learning and development.

Enrichment Statement:
Monmouth University values diversity and invites applications from underrepresented groups who will enrich the teaching and service missions of the university.
Minimum Qualifications:
  • Master's degree or higher in Data Science, Artificial Intelligence, Computer Science, or a related field.
  • Demonstrated expertise in Data Science or a related discipline.
  • Experience teaching Data Science, Artificial Intelligence, or related topics at the higher-education level.
  • Excellent interpersonal, organizational and communication skills.

Preferred Qualifications:
  • Industry experience in Data Science, Artificial Intelligence, Machine Learning, or a related field.

Questions regarding this search should be directed to:
Dr. Zheng at lzheng@monmouth.edu or 732-571-4459
Note to Applicants:
Adjunct positions remain posted continuously to expand the university's pool of qualified adjunct faculty. Screening of applications will commence when an open position becomes available. Should a position become available, you will receive an email advising you of the next steps.
Working at Monmouth University perks:
  • Employee Assistance Program (EAP)
  • Employee Tuition Remission
  • Employee elective deferrals to TIAA, 403(b) plan
  • On campus, Fitness Center - free membership

To view a full list of benefits, visit our benefits page at: Employee Benefits Information | Human Resources | Monmouth University
Department:
Computer Science and Software Engineering
Work Schedule:
Varies
Total Weeks Per Year
14
Expected Salary
$3,700 per 3-credit graduate-level course
Union:
N/A
Job Posting Close Date
N/A
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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