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Weekend Sas Programmer Jobs in Maine (NOW HIRING)

Responsibilities : • Perform data cleaning, exploratory data analysis (EDA), and feature engineering. • Train, evaluate, and compare machine learning models under supervision. • Assist with ...

D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field. * 0-2 years of industry, research, or applied project experience in data science or ...

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field. * 0-2 years of industry, research, or applied project experience in data science or ...

Data Scientist III - FCRM

Portland, ME · On-site

$96K - $155K/yr

Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract ...

Data Scientist III - FCRM

Lewiston, ME · On-site

$96K - $155K/yr

Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract ...

Responsibilities : • Perform data cleaning, exploratory data analysis (EDA), and feature engineering. • Train, evaluate, and compare machine learning models under supervision. • Assist with ...

Data Scientist - FCRM

Lewiston, ME · On-site

$96K - $155K/yr

Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract ...

Data Scientist - FCRM

Portland, ME · On-site

$96K - $155K/yr

Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract ...

Data Analyst

Augusta, ME · Hybrid

$62K/yr

Preferred Demonstrated programming ability in SQL, R, or similar packages. Experience with GIS software (ArcGIS or similar). Working Conditions: Fast paced environment with multiple priorities ...

Data Analyst

Augusta, ME · On-site

$62K/yr

Preferred • Demonstrated programming ability in SQL, R, or similar packages. • Experience with GIS software (ArcGIS or similar). Working Conditions: Fast paced environment with multiple ...

Weekend Sas Programmer information

See Maine salary details

$14

$47

$77

How much do weekend sas programmer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for weekend sas programmer in Maine is $47.45, according to ZipRecruiter salary data. Most workers in this role earn between $33.27 and $59.57 per hour, depending on experience, location, and employer.

What are the typical responsibilities of a Weekend SAS Programmer, and how does the role fit within the overall data team?

As a Weekend SAS Programmer, you are primarily responsible for developing, testing, and optimizing SAS programs to manage, analyze, and report on large datasets—often to meet tight deadlines or provide critical weekend support. The role may involve collaborating remotely with project managers, analysts, or other programmers to ensure data integrity and timely project delivery. Weekend shifts typically require a high level of autonomy, but you may also participate in virtual meetings or provide status updates to the weekday team. This structure allows organizations to maintain continuous data operations and quickly address time-sensitive analytical needs, making your contributions vital to team efficiency.

What are the key skills and qualifications needed to thrive in the Weekend SAS Programmer position, and why are they important?

To thrive as a Weekend SAS Programmer, you need strong expertise in SAS programming, data analysis, and statistical methodologies, often supported by a degree in computer science, statistics, or a related field. Proficiency with SAS software, SQL, and experience with data management tools or relevant certifications such as Base SAS Certification are important. Effective time management, communication skills, and the ability to work independently are key soft skills in this role. These abilities ensure accurate data handling and reporting within limited timeframes, supporting business or research objectives during non-standard working hours.

What is a Weekend SAS Programmer?

A Weekend SAS Programmer is responsible for developing, maintaining, and troubleshooting SAS programs, typically on weekends. These professionals work with datasets, generate reports, and support data analysis for businesses or research projects. The role may involve data cleaning, statistical analysis, and automating processes using SAS. Often, this position is suited for professionals seeking part-time or flexible work arrangements.

What are the most commonly searched types of Sas Programmer jobs in Maine? The most popular types of Sas Programmer jobs in Maine are:
What are popular job titles related to Weekend Sas Programmer jobs in Maine? For Weekend Sas Programmer jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Weekend Sas Programmer jobs in Maine look for? The top searched job categories for Weekend Sas Programmer jobs in Maine are:

Full-time

Re-posted 12 days ago


Job description

Job Summary:
Northeastern University is seeking a Data Scientist for a full-time, one-year term appointment at their Roux Institute in Portland, Maine. The role focuses on supporting the development and delivery of AI and data science solutions, involving data analysis, feature engineering, model development, and collaboration with senior professionals in the field.
Responsibilities:
• Perform data cleaning, exploratory data analysis (EDA), and feature engineering.
• Train, evaluate, and compare machine learning models under supervision.
• Assist with model validation, performance monitoring, and documentation.
• Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.
• Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
• Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
• Willingness to participate in client meetings in a supporting role.
Qualifications:
Required:
• Master’s degree (required) or Ph.D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field.
• 0–2 years of industry, research, or applied project experience in data science or machine learning.
• Experience gained through internships, co-ops, academic research, or applied capstone projects is acceptable.
• Solid understanding of statistical methods, regression, hypothesis testing, and basic experimental design.
• Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting.
• Familiarity with deep learning concepts and modern architectures (e.g., convolutional neural networks or transformers); deep specialization is not required.
• Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn).
• Working knowledge of SQL and relational databases.
• Familiarity with at least one ML or deep learning framework (e.g., PyTorch, TensorFlow, HuggingFace).
• Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
• Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
• Willingness to participate in client meetings in a supporting role.
• Awareness of ethical AI principles including fairness, transparency, and responsible model use.
• Willingness to follow established governance, documentation, and review practices.
• Strong curiosity and motivation to learn new tools, techniques, and AI methods.
• Openness to feedback and mentorship.
• Ability to manage assigned tasks, meet deadlines, and maintain high-quality work.
• Proactive attitude and willingness to take increasing responsibility over time.
Preferred:
• Industry experience is preferred.
• Exposure to NLP, computer vision, or speech processing through coursework or academic/industry projects.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Understanding of software development best practices such as version control (Git) and Agile workflows.
Company:
Founded in 1898, Northeastern is a global research university with a distinctive, experience-driven approach to education and discovery. Founded in 1898, the company is headquartered in Boston, USA, with a team of 5001-10000 employees. The company is currently Late Stage.