ZipRecruiter

Log In

2

Full Time Data Scientist Machine Learning Jobs (NOW HIRING)

Newton Research

Data Scientist

Boston, MA · On-site

$160K - $180K/yr

Role Description This is a full-time Data Scientist role with Newton Research, Inc. This role ... Strong foundation in data analysis, statistical modeling, and machine learning concepts.

Vultus Inc

Data Scientist

Montevallo, AL · On-site

Data Scientist Experience 3-6 Years Job Type Full-Time Job Summary We are looking for a skilled ... Develop and deploy machine learning and statistical models. * Perform exploratory data analysis and ...

Garmin International, Inc.

Data Scientist 2

Olathe, KS · On-site

... full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for analyzing complex data sets, developing machine learning models ...

i3

Principal Data Scientist

Washington, DC · On-site

Proven track record of architecting scalable Machine Learning Ops pipelines and mentoring high ... Azure Data Scientist Associate o Dynamics 365 Customer Insights (Data) Specialty o Oracle Data ...

New

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

As an Advance Data Scientist, you will join a high-performing, global team, and be responsible for ... Minimum of 4 years of full time Machine Learning experience applied on top of processes, systems ...

previous pagenext page

Showing results 21-40

All Jobsfull time JobsTechnology JobsData JobsData Scientist JobsFull Time Data Scientist Machine Learning Jobs

Full Time Data Scientist Machine Learning information

See salary details

$37.5K

$122.7K

$196.5K

How much do full time data scientist machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for full time data scientist machine learning 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 does a full time data scientist specializing in machine learning do?

A Full Time Data Scientist specializing in Machine Learning is responsible for analyzing large datasets to discover patterns and insights, and for building, testing, and deploying machine learning models to solve business problems. They use statistical techniques, programming skills, and domain knowledge to turn raw data into actionable information. Their day-to-day tasks often include data cleaning, feature engineering, model selection, and performance evaluation. They also collaborate with other teams to integrate machine learning solutions into products or decision-making processes. This role typically requires proficiency in languages like Python or R, and familiarity with tools such as TensorFlow, scikit-learn, or PyTorch.

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

To thrive as a Full Time Data Scientist Machine Learning, you need strong analytical skills, expertise in statistics, machine learning techniques, and a relevant degree in computer science, mathematics, or a related field. Proficiency with programming languages such as Python or R, experience with machine learning libraries like TensorFlow or scikit-learn, and familiarity with data visualization and big data platforms are typically required. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating with stakeholders and translating data insights into business value. These skills are crucial for developing robust models, interpreting complex data, and driving impactful, data-driven decisions within organizations.

What are some common challenges faced by full time data scientists specializing in machine learning, and how can they be addressed?

Full-time Data Scientists in Machine Learning often encounter challenges such as dealing with messy or incomplete data, tuning complex models for optimal performance, and effectively communicating technical insights to non-technical stakeholders. Addressing these challenges usually involves collaborating closely with data engineers to improve data quality, staying updated with the latest ML techniques, and developing strong communication skills to translate findings into actionable business strategies. Additionally, regular code reviews and participation in cross-functional meetings help ensure alignment and foster a supportive team environment.

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

AspectFull Time Data Scientist Machine LearningData Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related; proficiency in data visualization and SQL
Work EnvironmentDeveloping ML models, programming in Python/R, deploying algorithmsData cleaning, reporting, creating dashboards, analyzing datasets
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Full Time Data Scientist Machine Learning roles focus on building and deploying machine learning models, requiring advanced programming and statistical skills. Data Analysts primarily interpret data, generate reports, and support decision-making with less emphasis on ML techniques. Both roles are vital but differ in technical depth and responsibilities.

What cities are hiring for Full Time Data Scientist Machine Learning jobs?

Cities with the most Full Time Data Scientist Machine Learning job openings:

What are the most commonly searched types of Data Scientist Machine Learning jobs?

The most popular types of Data Scientist Machine Learning jobs are:

What states have the most Full Time Data Scientist Machine Learning jobs?

States with the most job openings for Full Time Data Scientist Machine Learning jobs include:

Full Time Data Scientist Machine Learning jobs near you

Data Scientist/Machine Learning Engineer

CATHEXIS

Redwood City, CA • On-site

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Job description

Team CATHEXIS elevates the government contracting experience through rapid response, deep skill, and thoughtful problem-solving and communication. Our core capabilities are our top-tier program and project management, data analytics, and audit services, the backbone of which is our integrated approach to operational excellence.
You worked hard to get to where you are. You strive to make every day better than the day before. So do we. Team CATHEXIS operates with an all-in mindset. We are working together to create a company that supports our shared values and individual goals. Our values are centered around leading with integrity, owning the outcome, growing together, and moving with purpose in everything we do for our employees, customers, partners, and communities. We believe success is best when we listen and lead with empathy; model high standards of ethics to provide a rewarding candidate experience; work hard, have fun, and appreciate the strengths we all bring to the team; and empower our employees to create innovative and trusted results.
We are looking for a dynamic Data Scientist/ML Engineer to join our team. The Data Scientist/ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation.
We are proactively building a pipeline of qualified candidates for future opportunities that may arise. If your background aligns with our anticipated needs, a member of our Talent Acquisition team may reach out should a role become available or to proactively screen you for the role.
Responsibilities
The responsibilities include, but are not limited to:
  • Research, design, implement, and deploy Machine Learning algorithms for enterprise applications.
  • Assist and enable federal customers to build their own applications.
  • Contribute to the design and implementation of new features.

Requirements
  • Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields required.
  • MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields preferred.
  • Minimum 2 years relevant work experience preferred.
  • Excellent programming skills in Python.
  • Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
  • Strong mathematical background (linear algebra, calculus, probability, and statistics).
  • Experience with scalable ML (MapReduce, streaming).
  • Ability to drive a project and work both independently and in a team.
  • Smart, motivated, can-do attitude, and seeks to make a difference.
  • Excellent verbal and written communication.
  • Real passion for developing team-oriented solutions to complex engineering problems.
  • Thrive in an autonomous, empowering and exciting environment.
  • Great verbal and written communication skills to collaborate multi-functionally and improve scalability.
  • Interest in committing to a fun, friendly, expansive, and intellectually stimulating environment.
  • Convey highly technical concepts and information in written form to technical and non-technical audiences.
  • The ability to work on multiple concurrent projects is essential.
  • Strong self -motivation and the ability to work with minimal supervision.
  • Must be a team-oriented individual, energetic, result & delivery oriented, with a keen interest on quality and the ability to meet deadlines.
  • Ability to work in an agile environment.
Desired Skills
  • Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services.
  • Experience with deep learning, natural language processing, computer vision, or reinforcement learning.

Benefits
CATHEXIS offers competitive compensation packages to all eligible employees. Our goal is to provide a compensation package that reflects the value you bring to our team, is competitive with national average market rates, and promotes your financial security and personal well-being. The annual salary range for this role is $125,000 - $150,000. Please note that the salary information provided is a general guideline. CATHEXIS considers various factors in its final offer, including location, qualifications, experience, and skills.
  • Performance Bonuses
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • 401(k) Plan (Traditional and ROTH)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off
  • 11 Federal Holidays
  • Parental Leave
  • Commute Benefits
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Program
  • Community Outreach Initiatives

CATHEXIS is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability EEO IS THE LAW. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the Recruiting Department RecruitingTeam@cathexiscorp.com

Apply