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Data Scientist Programmer Jobs (NOW HIRING)

Northeastern University

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 ...

IQUASAR LLC

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

Data Scientist (Machine Learning Engineer) Location: San Diego, CA Clearance Level: Secret iQuasar is seeking a highly motivated Data Scientist/Machine Learning Engineer to join our dynamic AI team.

Socket.dev

Data Scientist

Bellevue, WA · On-site

$150 - $200/hr

You'll collaborate with data science teammates, talented engineers, and product experts to produce solutions with direct impact on company performance. * This role will be based in the Bellevue or ...

NorthEastern

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 ...

MORSE Corp

Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver ... MORSE is searching for an experienced Data Scientist with expertise in data analysis, data science ...

iQuasar LLC

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

Data Scientist (Machine Learning Engineer) Location: San Diego, CA Clearance Level: Secret iQuasar is seeking a highly motivated Data Scientist/Machine Learning Engineer to join our dynamic AI team.

Nexxen

Data Scientist

Bellevue, WA · On-site

$150 - $200/hr

Strong programming skills in Python, SQL, and other data science tools are essential. Communicate technical concepts and findings to both technical/non-technical team members. Collaborate with ...

(unknown company)

Data Scientist

Orlando, FL · On-site

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

Nexxen International

$150 - $200/hr

Strong programming skills in Python, SQL, and other data science tools are essential. Communicate technical concepts and findings to both technical/non-technical team members. Collaborate with ...

Nexxen International

Data Scientist

Bellevue, WA · On-site

$150 - $200/hr

Strong programming skills in Python, SQL, and other data science tools are essential. Communicate technical concepts and findings to both technical/non-technical team members. Collaborate with ...

(unknown company)

Data Scientist

Orlando, FL · On-site +1

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

Pantheon Data

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Collaborate with engineers, analysts, and stakeholders.Required Skills and ExperienceBachelor's degree in Data Science, Engineering, Mathematics, Statistics, or related field.CAP Professional or ...

Pantheon Data

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Collaborate with engineers, analysts, and stakeholders. Required Skills and Experience * Bachelor's degree in Data Science, Engineering, Mathematics, Statistics, or related field. * CAP Professional ...

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

Data Scientist Location: Merrifield, VA(Hybrid) Duration: 12 Months Contract Responsibilities ... Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft ...

LEK

Data Scientist

Boston, MA · On-site

$100 - $125/hr

This role sits withinourData Science & Engineering team andoperatesat the intersection ofadvanced ... Supportend-to-end data science projectsfrom conceptualization through to deployment,and deploy ...

MORSE Corp

Data Scientist

Cambridge, MA · On-site

D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field • 5+ years of experience in Data Science or Analysis • Solid ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

Forhyre

Data Scientist

New York, NY

Collaborate with engineering and product development teams Requirements * Proven experience as a Data Scientist or Data Analyst * Experience in data mining * Understanding of machine-learning and ...

Maymont Homes

Data Scientist

Charleston, SC · On-site

$125 - $150/hr

The Data Scientist leverages advanced analytics, statistical modeling, machine learning, and AI to ... Programming: Strong Python and SQL skills for building models and analyzing data, with hands-on ...

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Data Scientist Programmer information

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$37.5K

$122.7K

$196.5K

How much do data scientist programmer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data scientist programmer in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a data scientist programmer?

Data Scientist Programmers are professionals who combine expertise in computer programming with statistical and analytical skills to extract insights from data. They use programming languages like Python or R to manipulate large datasets, build predictive models, and create data visualizations. Their work often involves cleaning and transforming data, selecting appropriate algorithms, and interpreting results to help organizations make informed decisions. Data Scientist Programmers play a key role in fields like business analytics, healthcare, finance, and technology.

How do data scientist programmers typically collaborate with other departments in an organization?

Data Scientist Programmers often work closely with cross-functional teams, including product managers, engineers, and business analysts. Collaboration is essential for understanding project requirements, accessing relevant data, and ensuring that analytical solutions align with business goals. Regular meetings, code reviews, and presentations of findings are common, allowing Data Scientist Programmers to communicate technical results in understandable terms and gather feedback. This teamwork-focused environment helps ensure that data-driven insights can be effectively integrated into products and decision-making processes.

What are the key skills and qualifications needed to thrive as a data scientist programmer, and why are they important?

To excel as a Data Scientist Programmer, you need proficiency in statistics, machine learning, programming (especially Python or R), and a strong foundation in data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Jupyter Notebooks, SQL databases, TensorFlow, and cloud platforms, along with relevant certifications like AWS or Google Cloud, is highly valuable. Strong problem-solving skills, effective communication, and an ability to collaborate with cross-functional teams help you stand out in this role. These skills are crucial for transforming raw data into actionable insights and developing scalable solutions that drive business growth.

What cities are hiring for Data Scientist Programmer jobs?

Cities with the most Data Scientist Programmer job openings:

What states have the most Data Scientist Programmer jobs?

States with the most job openings for Data Scientist Programmer jobs include:

What are popular job titles related to Data Scientist Programmer jobs?

For Data Scientist Programmer jobs, the most frequently searched job titles are:

Infographic showing various Data Scientist Programmer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Portland, ME • On-site

Northeastern University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Northeastern Universityexternal

$87K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

About the Opportunity
JOB SUMMARY
This is a full-time, one-year term appointment with the possibility of renewal. The position is in-person at Northeastern's Roux Institute in Portland, Maine.
The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University's Experiential AI Institute, will support the development and delivery of AI and data science solutions across diverse industries. The role is designed for early-career data scientists who will work under the guidance of senior data scientists, AI engineers, and faculty leads.
The Data Scientist will contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing work, and modern AI practices across Predictive AI and Generative AI use cases.
Education & Experience
  • 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.
  • Industry experience is preferred.

Knowledge, Skills, and Abilities
Technical and Analytical Foundations
  • 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.
  • Exposure to Generative AI concepts and large language models (LLMs) is a plus.
  • 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).
Model Development and Delivery Support
  • 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.
Collaboration and Communication
  • 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.
Preferred Experience
  • 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.

Values & Professional Attributes
Ethical and Responsible AI
  • Awareness of ethical AI principles including fairness, transparency, and responsible model use.
  • Willingness to follow established governance, documentation, and review practices.
Learning and Growth Mindset
  • Strong curiosity and motivation to learn new tools, techniques, and AI methods.
  • Openness to feedback and mentorship.
Execution and Ownership
  • Ability to manage assigned tasks, meet deadlines, and maintain high-quality work.
  • Proactive attitude and willingness to take increasing responsibility over time.

Position Type
Research
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
111S
Expected Hiring Range:
$87,785.00 - $123,998.75
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

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