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Full Time Data Scientist Machine Learning Jobs (NOW HIRING)

Trimble

Machine Learning Data Scientist

Lake Oswego, OR · On-site

$122.64K - $165.47K/yr

... in data science or engineering, specifically building and deploying predictive machine learning ... This compensation range is based on a full time schedule. Trimble reserves the right to ultimately ...

Trimble

Machine Learning Data Scientist

Westminster, CO · On-site

$122.64K - $165.47K/yr

... in data science or engineering, specifically building and deploying predictive machine learning ... This compensation range is based on a full time schedule. Trimble reserves the right to ultimately ...

VSolvit

DATA SCIENTIST II (MACHINE LEARNING)

Norco, CA · On-site

$115K - $130K/yr

Data Scientist II (Machine Learning) On Site: Norco, CA Job Summary We are seeking a talented and driven mid-level Data Scientist to join our evolving and dynamic team. In this role, you will apply ...

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

As of Jun 1, 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 are the key skills and qualifications needed to thrive as a Full Time Data Scientist Machine Learning, and why are they important?

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 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 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
Sr. Data Scientist / Machine Learning Engineer

Sr. Data Scientist / Machine Learning Engineer

CACI International, Inc.

Reston, VA • On-site

Full-time

Medical, Retirement, PTO

Posted 17 days ago

Job description

Job Title: Sr. Data Scientist / Machine Learning Engineer
Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI with Polygraph
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Outside Continental US
* * *
The Opportunity:
Join CACI as a Data Scientist and Engineer. We are seeking a highly experienced subject matter expert to drive technical innovation, architect advanced data engineering solutions, and implement machine learning models that support our clients' LAN, WAN, and UC services. In this role, you will lead the most complex, high-impact initiatives, solving unique and undefined problems in cybersecurity, compliance, and network modernization. You will establish operational plans with mid-term strategic impact, mentor technical staff across the organization, and present your findings directly to senior and executive leadership. Become a part of our great team and make a strategic difference within the Intelligence Community!
Responsibilities:
  • Employ advanced statistical methods and machine learning techniques to analyze complex datasets, uncovering deep patterns and root causes
  • Architect, build, and maintain robust, end-to-end data pipelines to ensure seamless data collection, integration, and storage
  • Design, develop, and deploy predictive algorithms and automated machine learning models into production environments to optimize network operations
  • Analyze large, unstructured, and undefined data sets to solve unique technical challenges where information is difficult to obtain
  • Lead complex, cross-functional project initiatives to address strategic business needs in cybersecurity, compliance, and network modernization
  • Present highly technical findings and strategic recommendations to senior and executive leadership in a clear and actionable manner
  • Provide expert guidance, coaching, and mentorship to technical staff across the organization to drive the adoption of data-driven practices
  • Conceptualize and implement innovative data products, processes, and standards that establish mid-term operational plans for the broader organization
  • Stay updated on the latest advancements in data engineering architecture, machine learning MLOps, and data science best practices

Qualifications:
Required:
  • Must possess an active TS/SCI security clearance with the ability to obtain a polygraph
  • Bachelor's degree in data science, computer science, statistics, mathematics, engineering, or a related field
  • 10+ years of relevant work experience
  • Must hold a current DoD 8570 IAT Level II certification (e.g., Security+ CE)
  • Proficient understanding of data governance and security best practices
  • Proven proficiency in Python, R, and SQL for advanced data manipulation, pipeline creation, and model development
  • Extensive hands-on experience designing and deploying scalable data architecture, databases, and automated data engineering workflows
  • Deep expertise in machine learning, predictive modeling, data mining techniques, and deploying models into production environments
  • Proven ability to conduct extensive investigations to understand the root cause of undefined problems
  • Experience conceptualizing and communicating with executive leadership regarding matters of significant strategic importance

Desired:
  • Active TS/SCI clearance with polygraph
  • Advanced degree (Master's or Ph.D.) in a highly quantitative or technical field
  • Experience mentoring and directing junior/mid-level data analysts and engineers
  • Familiarity working alongside Business Intelligence SMEs, preparing and formatting optimal data structures for visualization tools like Tableau
  • Exceptional ability to work with high latitude and independence, successfully managing multiple high-stakes projects simultaneously

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$105,100-$231,100
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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