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Part Time Amazon Data Science Jobs in Albuquerque, NM

Security Guard

Albuquerque, NM

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

MUST have smart phone w/adequate data as all timesheets and reports are electronic Start This Week ... Full/Part time available. We can get you started immediately! Must be Dependable, have Reliable ...

Security Guard

Albuquerque, NM

$13/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

MUST have smart phone w/adequate data as all timesheets and reports are electronic Start This Week ... Full/Part time available. We can get you started immediately! Must be Dependable, have Reliable ...

Research Scientist 2

Albuquerque, NM · On-site

$22.40 - $31.46/hr

  • Medical

  • Dental

  • Vision

  • Life

Data entry and management including use of clinical trial software including Red Cap. * Involvement ... Type Term - Part-Time Term End Date 06/30/2027 Status Non-Exempt Pay Hourly: $22.40 - $31.46 ...

Research Coordinator

Albuquerque, NM · On-site

$19.76 - $26.85/hr

  • Medical

  • Dental

  • Vision

  • Life

... scientific research methodology. * Ability to constructspreadsheets, organize data, analyze and ... Part-Time Term End Date 07/02/2027 Status Non-Exempt Pay Hourly: $19.76 - $26.85 dependent upon ...

Grow Tech I Part Time

Albuquerque, NM · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Conduct watering, labeling, and inventory data input. * Monitor and maintain plant care during the ... The cannabis industry is fast-paced, innovative, and full of opportunity--where science meets ...

Grow Tech I Part Time

Albuquerque, NM · On-site

$16.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Conduct watering, labeling, and inventory data input. * Monitor and maintain plant care during the ... The cannabis industry is fast-paced, innovative, and full of opportunity-where science meets ...

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Showing results 1-20

Part Time Amazon Data Science information

See Albuquerque, NM salary details

$43.1K

$125.7K

$172.1K

How much do part time amazon data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for part time amazon data science in Albuquerque, NM is $125,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $133,300.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Amazon Data Science vs Part Time Amazon Data Engineering?

AspectPart Time Amazon Data SciencePart Time Amazon Data Engineering
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learning and analytics toolsDegree in Computer Science, Software Engineering, or related; experience with data pipelines and cloud platforms
Work EnvironmentAnalyzing data, building models, and deriving insightsBuilding and maintaining data infrastructure, ETL processes
Employer & Industry UsageUsed across Amazon for product recommendations, customer insightsUsed for data infrastructure, ensuring data flow for analytics

Part Time Amazon Data Science focuses on analyzing data and developing models to inform business decisions, while Part Time Amazon Data Engineering emphasizes building and maintaining data pipelines and infrastructure. Both roles require technical skills but serve different functions within Amazon's data ecosystem.

What is a part time Amazon data science job?

Part time Amazon data science jobs are positions at Amazon where professionals work fewer hours than a typical full-time role, focusing on analyzing and interpreting complex data to help the company make informed business decisions. These roles may involve tasks such as data analysis, predictive modeling, and creating dashboards, but on a flexible or reduced schedule. Part time positions can be suitable for students, parents, or those seeking work-life balance, and often require skills in programming, statistics, and data visualization. While less common than full-time roles, part time opportunities may be available in various Amazon teams, either on-site or remotely.

How does a part time Amazon data science role balance independent work with team collaboration?

In a part-time Amazon data science position, you'll often manage independent analysis tasks, such as building models or preparing datasets, on your own schedule. However, regular collaboration with full-time team members is essential, particularly for aligning on project goals, sharing progress, and integrating your work into larger solutions. Team meetings and code reviews are common touchpoints, and you may also participate in cross-functional discussions with product managers or engineers. Flexibility and strong communication skills help ensure your contributions are effectively integrated despite the part-time nature of the role.

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

To thrive as a Part Time Amazon Data Scientist, you need a solid background in statistics, data analysis, and programming (often with Python or R), supported by at least a bachelor’s degree in a quantitative field. Familiarity with big data tools (like AWS, SQL, or Spark), machine learning libraries, and data visualization platforms is typically required. Strong problem-solving, communication, and time management skills help you deliver insights and collaborate effectively within teams. These competencies are crucial for generating actionable business recommendations and managing data-driven projects efficiently, even within limited hours.

What are popular job titles related to Part Time Amazon Data Science jobs in Albuquerque, NM?

For Part Time Amazon Data Science jobs in Albuquerque, NM, the most frequently searched job titles are:

What job categories do people searching Part Time Amazon Data Science jobs in Albuquerque, NM look for?

The top searched job categories for Part Time Amazon Data Science jobs in Albuquerque, NM are:

Infographic showing various Part Time Amazon Data Science job openings in Albuquerque, NM as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,737 per year, or $60.5 per hour.

DATA SCIENTIST

US Department of the Air Force

Kirtland Air Force Base, NM • On-site

$49K/yr

Full-time, Part-time

Re-posted 9 days ago


Job description

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.Qualifications:BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following:
a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.
2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.
4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.
5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.
6. Ability to plan and organize work and confer with co-workers effectively.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER