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Applied Data Scientist Jobs (NOW HIRING)

Data Scientist II

Camden, NJ · On-site

$100K - $120K/yr

This role is ideal for a hands-on, applied data scientist who enjoys working on complex systems, translating ambiguous business problems into analytical models, and seeing their work put into ...

As a Data Scientist at Prior Labs, you'll be the critical link between our foundation models and ... Applied Data Science & Experimentation: Identify high-impact use cases for TFMs and build proof-of ...

New York, NY or Secaucus, NJ (Hybrid) Decision Science Engineer (Applied Data Scientist) POSITION SUMMARY: Alice + Olivia is hiring a Decision Science Engineer to build, operationalize, and own ...

New York, NY or Secaucus, NJ (Hybrid) Decision Science Engineer (Applied Data Scientist) POSITION SUMMARY: Alice + Olivia is hiring a Decision Science Engineer to build, operationalize, and own ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Data Scientist

Sunnyvale, CA · On-site

$110K - $190K/yr

Key Responsibilities Design and implement exploratory data analyses, proof-of-concept tools, and applied machine learning solutions to address scientific, operational, and analytical problems.

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

The Data Scientist must be prepared to dive deep into disparate data from multiple sources in ... MSc or PhD degree in applied mathematics, statistics, or relevant work experience. * An active ...

Data Scientist

Vienna, VA · On-site

$137K - $155K/yr

The Data Scientist must be prepared to dive deep into disparate data from multiple sources in ... MSc or PhD degree in applied mathematics, statistics, or relevant work experience. * An active ...

Data Scientist

Vienna, VA · On-site

$137K - $155K/yr

The Data Scientist must be prepared to dive deep into disparate data from multiple sources in ... MSc or PhD degree in applied mathematics, statistics, or relevant work experience. * An active ...

... applied data science, machine learning engineering, or data pipeline development. • Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark) Preferred : • ...

... applied data science, machine learning engineering, or data pipeline development. • Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark) Preferred : • ...

... applied data science, machine learning engineering, or data pipeline development. • Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark) Preferred : • ...

... applied data science, machine learning engineering, or data pipeline development. • Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark) Preferred : • ...

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Applied Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do applied data scientist jobs pay per year?

As of Jun 10, 2026, the average yearly pay for applied data scientist 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 applied data scientists?

Applied data scientists are professionals who use statistical analysis, machine learning, and programming to extract insights from data and solve real-world business or research problems. Unlike theoretical data scientists, applied data scientists focus on implementing practical solutions that directly impact organizations, such as improving processes, predicting trends, or optimizing operations. They work closely with stakeholders to understand requirements, develop predictive models, and communicate results in a clear and actionable way. Their expertise typically spans data wrangling, model building, and deployment of data-driven applications.

What are the key skills and qualifications needed to thrive as an Applied Data Scientist, and why are they important?

To thrive as an Applied Data Scientist, you need a strong background in statistics, machine learning, and programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with tools like TensorFlow, PyTorch, SQL, and data visualization platforms, as well as experience deploying models in production, is typically required. Critical thinking, effective communication, and problem-solving skills help translate complex data insights into actionable business solutions. These competencies are essential for extracting value from data and driving impactful, data-informed decisions within organizations.

What is the difference between Applied Data Scientist vs Data Analyst?

AspectApplied Data ScientistData Analyst
Required SkillsStatistical modeling, machine learning, programming (Python, R)Data visualization, basic statistics, Excel, SQL
Work EnvironmentDeveloping predictive models, advanced analytics, researchReporting, data cleaning, descriptive analysis
Common ToolsPython, R, SQL, cloud platformsExcel, Tableau, Power BI, SQL
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Applied Data Scientists focus on building predictive models and advanced analytics, requiring programming and statistical skills. Data Analysts primarily handle data reporting and visualization, with a focus on descriptive insights. Both roles are essential in data-driven organizations but differ in complexity and scope.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Applied by applied data scientists, it helps prioritize data cleaning, feature selection, and model tuning to focus on the most impactful variables and tasks.

What are the typical collaboration dynamics between Applied Data Scientists and other teams within an organization?

Applied Data Scientists frequently work cross-functionally, partnering with engineering, product management, and business analytics teams. They translate complex data insights into actionable recommendations, often presenting findings to non-technical stakeholders. Regular interaction with software engineers is common for model deployment, while close alignment with business teams ensures data solutions address real-world challenges. Effective communication and adaptability are key to thriving in these collaborative environments.
More about Applied Data Scientist jobs
What cities are hiring for Applied Data Scientist jobs? Cities with the most Applied Data Scientist job openings:
What states have the most Applied Data Scientist jobs? States with the most job openings for Applied Data Scientist jobs include:
Infographic showing various Applied Data Scientist job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 2% As Needed, 86% Full Time, 5% Part Time, and 5% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Applied Data Scientist with Security Clearance

Applied Data Scientist with Security Clearance

Booz Allen Hamilton

Arlington, VA

$99K - $225K/yr

Other

Medical, Life, Retirement, PTO

Posted 9 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Job Number: R0239173 Applied Data Scientist The Opportunity: As a data scientist, you're excited about building intelligent systems, not just analyzing data. You're motivated to design, develop, and deploy machine learning and AI-driven capabilities that operate in real-world environments. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, you'll transform these data into operational systems by developing algorithms, training models, and deploying solutions that perform reliably at scale. On our team, you'll work closely with clients to understand mission needs and translate them into technical solutions. You'll design and implement machine learning models, build supporting data pipelines, and deploy capabilities into production environments. You'll apply a mix of statistical methods, machine learning, and software engineering to deliver end-to-end solutions. You'll help move beyond analysis to create robust, maintainable AI/ML systems that deliver measurable impact. Work with us as we use data science for good. Join us. The world can't wait. You Have: * 5+ years of e xperience developing machine learning or AI algorithms and applying pre-built models
* 5+ years of experience building and deploying ML/AI solutions into production or operational environments
* 5+ years of experience designing and implementing end-to-end ML pipelines, including data ingestion, training, evaluation, and deployment
* Experience writing production-quality code in Python or similar languages
* Experience working with structured and unstructured data at scale
* Experience applying techniques such as optimization, simulation, or advanced machine learning methods
* Experience working in Linux-based or cloud-based environments
* Experience using modern software engineering practices, such as Git, testing, or CI/CD
* Ability to obtain a Secret clearance
* Doctorate degree in Mathematics, Engineering, or a STEM field Nice If You Have: * Experience with deep learning, reinforcement learning, or advanced AI techniques
* Experience building or fine-tuning custom models
* Experience with containerization and deployment tools, such as Docker and Kubernetes
* Experience with distributed data processing tools, such as Spark and Kafka
* Experience integrating ML/AI capabilities into larger software systems
* Experience with optimization frameworks or simulation-based modeling
* Experience working with Department of War customers
* Experience communicating complex technical concepts to non-technical stakeholders
* TS/SCI clearance Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. * Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
* Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
* Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914