1,985 Data Interpretation jobs in the United States

• Assist in the development and evaluation of machine learning models for image-based object detection and tracking.
• Preprocess and annotate image datasets for training and validation.
• Implement and fine-tune deep learning architectures (e.g., CNNs, YOLO, Faster R-CNN) for real-time image recognition tasks.
• Collaborate on model deployment pipelines using tools such as TensorFlow Serving, ONNX, or Docker.
• Analyze model performance and contribute to iterative improvements.
• Document findings, experiments, and best practices.

• Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Strong foundation in Python and machine learning libraries (e.g., TensorFlow, PyTorch, OpenCV).
• Familiarity with image processing techniques and computer vision concepts.
• Experience with version control (Git) and cloud platforms (AWS, GCP, or Azure) is a plus.
• Excellent problem-solving skills and a collaborative mindset.

Volt is immediately hiring for Data Science Engineer in Falls Church, VA. As Data Science Engineer you will be responsible for:

• MLOps, Model Engineering, Training on time series data.
• After few weeks training on Customer's AI platform, develop AI-based applications using Customer's platform for operational cloud-deployed and secure lab deployed AI-based applications.
• Develop candidate models that are promoted to active models when their performance meets threshold.
• Train, validate and deploy machine learning pipelines.
• Test, troubleshoot, and enhance customer AI-based applications based on feedback.
• Manage individual project deliverables.
• Identify application performance bottlenecks and implement optimizations.
• Write application specifications and documentation.
• Articulate methodologies, experiments, and findings clearly in actionable way.
• Work in a fast-paced environment.

This is a Contract opportunity for 12 months. Security Clearance Active Secret Clearance.

The Ideal candidate will have:

• Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM), or comparable area of study.
• 5+ years of Data Science development experience using Python.
• Proficiency in data science, machine learning, and analytics, including statistical data analysis, model and feature evaluations.
• Strong proficiency in numpy & pandas.
• Demonstrated skills with Jupyter Notebook or comparable environments.
• Practical experience in solving complex problems in an applied environment, and proficiency in critical thinking.

Qualifications We Prefer:

• Degree in Data Science, Machine Learning, Computer Science, Engineering, Statistics, or equivalent fields.
• Strong mathematical background (linear algebra, calculus, probability & statistics).
• Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn).
• Experience crafting, conducting, analyzing, and interpreting experiments and investigations.
• Experience with modern software development tools and practices (Git, pull requests).
• Experience analyzing model performance with relevant metrics and optimizing.
• Familiarity with AI agent frameworks.

Pay Rate: $80 - $90/hr

Volt offers benefits (based on eligibility) that include the following: health, dental, vision, term life, short term disability, AD&D, 401(k), Sick time, and other types of paid leaves (as required by law), Employee Assistance Program (EAP).

Volt is an Equal Opportunity Employer and prohibits any kind of unlawful discrimination and harassment. Volt is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment on the basis of race, color, religion or belief, national origin, citizenship, social or ethnic origin, sex, age, physical or mental disability, veteran status, marital status, domestic partner status, sexual orientation, or any other status protected by the statutes, rules, and regulations in the locations where it operates.

If you are an individual with a disability and need a reasonable accommodation to assist with your job search or application for employment, please email hr_dept@ or call (866) - .

Volt does not discriminate against applicants based on citizenship status, immigration status, or national origin, in accordance with 8 U.S.C. 1324b. The company will consider for employment qualified applicants with arrest and conviction records in a manner that complies with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws.

Secure Division Support. The GCC provides CSSP responsibilities and conducts DODIN Operations and DCO - Internal Defensive Measures (IDM) to protect the DODIN IAW the DoDM and the DoD Cybersecurity Services Evaluator Scoring Metrics (ESM). These responsibilities are broken into five (5) CSSP functions; Identify, Protect, Detect, Respond, and Recover. GCC is responsible to conduct these functions for its assigned portion of the DODIN for both unclassified and classified networks/ systems. The division provides support services for the protection, monitoring, analysis, detection, and response to unauthorized activity within the DoD Information Systems and Networks. DCO-IDM services are required to defend against unauthorized activity on all Army assets residing on the NIPRNet and SIPRNet. The division provides defensive measures to protect and defend information, computers, and networks from disruption, denial, degradation, or destruction. The division provides sensor management and event analysis and response for network and host-based events. For sensor management, the division provides management of in-line Network Intrusion Protection System/Network Intrusion Detection System (NIPS/NIDS) sensors monitoring all CONUS DoDIN-A NIPRNet and SIPRNet Enterprise traffic to detect sensor outages and activities that attempt to compromise the confidentiality, integrity, or availability of the network. In coordination with GCC Operations, DCO initiates defensive security procedures upon detection of these attacks. Event analysis and response includes the processes involved with reducing multiple cyber incidents to actual malicious threat determinations and mitigating those threats IAW guidance received from GCC Government leadership. Support the Government in providing services for CSSP services on both the NIPRNet and SIPRNet IAW Appendix E: Secure Division Workload Assessment in support of the CONUS portion of the DoDIN-A. Develop reports and products, both current and long-term, in support of CSSP and course of action development. Prepare Tactics, Techniques, and Procedures (TTP), SOPs, Executive Summary (EXSUMS), trip reports, and information/point papers. Contribute during the preparation of agreements, policy, and guidance documentation such as Memorandums of Understanding / Agreement (MOU/A), Service Level Agreements (SLA).
* Defensive Cyber Infrastructure (DCI) Support. Perform the following DCI functions:
* Develop and distribute content provided by security platform vendors at least weekly and as needed.
* Develop and distribute in-house content based on tippers from higher organizations and the Threat Hunt team.
* Provide content development and distribution to tactical edge customers and develop TTPs for doing so.
* Consolidate different data sources into a single view used to assess the status of a specific threat on the network.
* Develop and/or maintain dashboards displaying specific CSSP items of interest (i.e. top 10 attackers, top 10 destinations, top attack vector, etc.) and all active cyber incidents, in near real time, within each respective AOR.
* Maintain, update, test, and implement signatures and policies for each sensor managed by GCC.
* Changes must be approved through the established ITIL process.
* Develop signatures and policies that include both network- and host-based sensors.
* Update as necessary to minimize false positives and validate for proper syntax.
* Conduct all development and testing on isolated networks.
* Document and conduct testing activity with plan procedures, results, and operational procedures as signatures are developed and/or updated.
* Update and validate plan at least annually. A signature test plan shall be developed.

Basic Qualifications:

8 years with BS/BA; 6 years with MS/MA; 3 years with PhD
• Certifications: DCWF Code 521 Advanced: Certified Information Systems Security Professional (CISSP) or GIAC Certified Intrusion Analyst (GCIA) or GIAC Cloud Security Essentials (GCLD) or GIAC Defensible Security Architecture (GDSA) or GIAC Global Industrial Cyber Security Professional (GICSP) or GIAC Security Essentials Certification (GSEC) or Information Systems Security Architecture Professional (ISSAP) or Information Systems Security Engineering Professional (ISSEP)
• Active TS/SCI Clearance
• Ability to conduct vulnerability assessments and monitor networks to support test and operational environment requirements.
• Solid understanding of data transport, encryption, networking, IT systems, and cybersecurity fundamentals.

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

• Develop and refine predictive models to analyze and forecast AI-driven search behavior.
• Design sampling and data classification techniques to improve AI-driven brand insights.
• Leverage LLMs/NLP to extract meaningful insights from unstructured text data.
• Work with large datasets, ensuring efficiency in querying, cleaning, and classification.
• Design and conduct A/B tests or other experimentation frameworks to measure impact.
• Collaborate with the founding team to turn complex data insights into actionable business strategies.

• 3+ years of advanced analytics experience in technology, marketing, or advertising.
• Proficient in Python, R, and SQL, with hands-on experience querying and analyzing large datasets.
• Expertise in data sampling techniques, including stratified sampling, bootstrapping, and extrapolation.
• Strong background in predictive modeling and applying ML techniques to estimate event frequency.
• Deep understanding of Large Language Models (LLMs), their limitations, and real-world applications.
• Passionate about staying on top of AI research, especially in multi-modal AI and LLM advancements.
• Comfortable in a fast-moving, high-performance startup environment.

• Data Scientist with strong Statistical Fundamentals learning Python with Pandas and NumPy Experience Strong Visualization
• Experience Strong understanding of Data Science Cycle OOP
• Python with Scientific and mathematical Experience and state Experience Need
• Digital : Data Visualization, Python for Data Science, Object Oriented Programming, Statistics & Analytics

Job Description:

The Los Angeles Unified School District seeks qualified proposers to provide Data Science Services on behalf of the Information Technology Services.

Responsibilities:

1. Set up R Studio Workbench, Connect, and Package Manager on a Linux server.
2. Manage libraries and versions.
3. Write required security plan.
4. Work with security to connect the server to Snowflake and other data sources.
5. Provision server access to data scientists, including R Studio Server, sftp, and command line.
6. Provide training and support to data scientists, including training on visualization packages like ggplot2, Quatro, and Shiny.
7. Guide data scientists on how to use version control with GIT/Azure Devops.
8. Resource must have at least three (3) years of experience in providing services as listed.