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Applied Data Science Jobs in Virginia (NOW HIRING)

You will contribute across the full data science lifecycle, from problem formulation and data ... Experience with Natural Language Processing (NLP) and text analytics applied to unstructured ...

You will contribute across the full data science lifecycle, from problem formulation and data ... Experience with Natural Language Processing (NLP) and text analytics applied to unstructured ...

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Applied Data Science information

See Virginia salary details

$25.3K

$143.2K

$217.8K

How much do applied data science jobs pay per year?

As of Jun 15, 2026, the average yearly pay for applied data science in Virginia is $143,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,409.00 and $177,973.00 per year, depending on experience, location, and employer.

What are the typical responsibilities of an Applied Data Science professional on a day-to-day basis?

An Applied Data Science professional typically spends their days gathering, cleaning, and analyzing structured and unstructured data to uncover patterns and generate actionable insights. They frequently build and deploy predictive models, collaborate with business and engineering teams to define project requirements, and communicate findings through clear reports or visualizations. Additionally, they often engage in regular team meetings, contribute to ongoing process improvements, and continuously learn new technologies or methodologies to enhance project outcomes. This combination of technical and collaborative work makes the role both dynamic and highly impactful within most organizations.

What is the salary of applied data scientist?

The average salary of an applied data scientist typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with advanced skills in machine learning and data analysis can earn higher salaries.

What does applied data science do?

Applied data science involves using data analysis, statistical methods, and machine learning techniques to solve real-world problems and inform decision-making. Professionals in this field work with large datasets, programming tools like Python or R, and often collaborate with business teams to develop actionable insights. It requires strong analytical skills and knowledge of data management and modeling.

What can you do with an applied data science degree?

An applied data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. Graduates can work in industries like finance, healthcare, technology, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What jobs can I get with applied science?

Applied Data Science prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These jobs involve analyzing data, building models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the key skills and qualifications needed to thrive in the Applied Data Science position, and why are they important?

To thrive in Applied Data Science, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, typically evidenced by a degree in a quantitative field. Familiarity with data visualization tools (like Tableau), cloud platforms (AWS, GCP), and certifications in data science or analytics are highly valued. Effective communication, problem-solving, and teamwork are crucial soft skills to convey insights and collaborate with both technical and non-technical stakeholders. These competencies are critical for transforming complex data into actionable business strategies and driving measurable impact within organizations.

What is an Applied Data Science job?

An Applied Data Science job focuses on using data science techniques to solve real-world problems in business, healthcare, finance, and other industries. It involves collecting, processing, analyzing, and interpreting large datasets to extract meaningful insights. Applied data scientists use machine learning, statistical modeling, and programming skills to develop data-driven solutions. They work closely with stakeholders to implement models that drive decision-making and improve operations.

What cities in Virginia are hiring for Applied Data Science jobs? Cities in Virginia with the most Applied Data Science job openings:

Data Scientist with Security Clearance

Applied Information Sciences

Alexandria, VA

$94K - $141K/yr

Other

Posted 20 days ago


Job description

Why AIS? When you join AIS, you're joining a mission-driven team that's passionate about making a difference. You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success. * Employee Ownership: Your contributions directly impact the company's success, and you share in its achievements.
* Continuous Learning: Access to resources, training, and mentorship to support your professional growth.
* Inclusive Culture: A workplace where diversity is celebrated, and everyone's voice is valued.
* Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities. What are we looking for? At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles. Working@AIS
At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Data Scientist. As your initial project assignment, you will support the unique needs of our client as a Data Scientist. Project Summary AIS supports a Federal customer providing program and administrative support, analyzing fraud complaints, conducting proactive analysis of data, and providing specialized investigative support for criminal investigators conducting fraud and corruption investigations throughout the US. Key Responsibilities * Provide data science and advanced data analytics to support federal investigations.
* Utilize data mining techniques to find patterns in large data sets
* Develop prototype software to meet the needs of specific data analytical tasks.
* Participate in strategic planning sessions with case agents, fraud analytical groups and task forces in an effort to identify fraud and corruption schemes affecting the department.
* Provide expertise in investigations by providing data input to affidavits and subpoenas and recommending possible investigative steps to obtain additional data.
* Compile and analyze large-scale complex data sets, records, investigative files, complaint data and open-source intelligence data, including witness testimony, seized evidence, subpoenaed records/data, business records, contract claims data, in an effort to develop actionable intelligence information to assist in the investigation of fraud cases.
* Help analyze and build profiles/links to identify criminal networks, offenses, suspects, and trends related to complex fraud schemes and patterns.
* Review and analyze various law enforcement, internal, financial, and procurement databases, and conduct open-source searches to obtain necessary records to support complex investigations and prosecutions.
* Input researched and analyzed data into various professional products including analytical summaries, graphs, or charts, and power point presentations for law enforcement use, prosecutions.
* Fully proficient in the use of data science and data analytics software, including but not limited to Python, SAS, Structured Query Language (SQL), i2 Analyst's Notebook, Tableau and Centrifuge. Required For This Opportunity * Experience should be a minimum of three (3) years in a Data Science role.
* Bachelor's Degree in computer science, computer engineering, data science, or directly related science or engineering field.
* An Active Secret clearance. Nice to Have Skills * Experience with Databricks
* Experience with Apache Spark
* Master's Degree in Computer Science, Computer Engineering, Data Science, or directly related science or engineering field. At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member. The targeted base salary range for this role is $94,000-$141,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process. Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.