Data visualization • dallas tx
USC)</p> <p data-path-to-node="1"><b data-index-in-node="0" data-path-to-node="1">Location:</b> Dallas, TX</p> <p data-path-to-node=&q... Show more
This employer will not sponsor applicants for employment visa status (e.All applicants must be currently authorized to work in the United States on a full-time basis.Loopback Health is seeking an i... Show more
Job Title:</b> Data Scientist</p> <p><b>Job Location:</b> Irving, TX, USA, 75038</p> <p><b>Employment Type:</b> Temporary</p> <p>&l... Show more
Guardians of Honor is a small management consulting firm supporting the federal government since 1997.We are seeking an energetic new team member experienced in Federal grants management to support... Show more
Candidate should be local to Dallas Texas only.Candidate should be ready for F2F interview.Candidate should be ready for onsite work in Downtown Dallas.The Data Analyst will be part of the Strategi... Show more
At Royal Electric Company we provide expert electrical design, construction, and service with builders, contractors and facility owners who value relationships, trust, expertise, and a commitment t... Show more
Data Engineer</b></p> <p><b>Duration: 12 Months</b></p> <p><b>Location: Saint Lois, MO/ Dallas, TX/ New York, NY/ Last option is remote</b><... Show more
QA review: Perception annotation: video, images, machine sensor data that describe objects, 3D, trajectory, etc VLA annotation: task, action, intent, chain of causation, outcomes</p><p>... Show more
Primary responsibilities of the Data Modeler include designing, developing, and maintaining enterprise-grade data models that support critical business initiatives, analytics, and operational syste... Show more
A nationally recognized architecture and engineering firm with over four decades of industry leadership is seeking a Director of Visualization to shape the future of its creative studio.Headquarter... Show more
HumCap's client is looking for an Analytics / Reporting Engineer to join the Enterprise Reporting team.You'll build and maintain the data pipelines, dashboards, and reporting infrastructure that dr... Show more
Education<br /> Bachelor's degree in AI, Data Science, or Computer Science (required)<br /> Internships accepted as job experience<br /> ... Show more
Data Annotator <p><b>Job Title:</b> Data Annotator / Data Entry Associate<br /> <b>Client Industry:</b> Banking / Financial Services<br /> <b>Experie... Show more
The Attack Readiness Insights Specialist partners with product, data engineering, cybersecurity, risk, and business stakeholders to design, develop, and deliver reporting, dashboards, scorecards, a... Show more
Iapetus Infrastructure oversees a portfolio of specialized field services companies, operating under one IIS umbrella.At IIS, our strength lies in the connective tissue that ties our operating comp... Show more
Key Responsibilities</p> <ul> <li>Engage with business, product, operations, fraud, risk, compliance, and technology stakeholders to gather, analyze, and document business and fun... Show more
COBOL, CICS, DB2, DB2 utilities, SQL JCL, MVS Utilities, Experience doing Production Support Use of CA7 Scheduling tool.Need to be able to do analysis on the as-is and come up with design of the to... Show more
Title: Sr Data Scientist<br /> Location: Fort Worth, TX, 76155<br /> Duration: 18 Weeks - 08/24/2026 - 12/31/2026</div> <div> </div> <div><b>Work Schedule... Show more
Data Architect designs and governs secure, scalable, trusted, and reusable enterprise data architecture across the oil and gas value chain.The role translates business and technical needs into targ... Show more
HumCap's client is looking for an Analytics / Reporting Engineer to join the Enterprise Reporting team.You'll build and maintain the data pipelines, dashboards, and reporting infrastructure th... Show more
The average salary range is between $ 91,250 and $ 150,256 year , with the average salary hovering around $ 107,500 year .
The average salary range is between $ 82,499 and $ 153,216 year , with the average salary hovering around $ 105,000 year .
v (only USC)
Location: Dallas, TX
Work Model: Hybrid
Role Overview
We are seeking an analytical and results-driven Contract Data Scientist to join our team in Dallas, TX. In this role, you will analyze large-scale datasets, build and validate predictive models, and deliver actionable insights to solve complex business problems. This position operates on a hybrid schedule, requiring 3 days onsite per week at our Dallas facility.
Key Responsibilities
Exploratory Data Analysis & Modeling: Clean, preprocess, and analyze large datasets to develop machine learning algorithms, statistical models, and predictive frameworks.
Pipeline & Feature Engineering: Design and refine robust data pipelines and feature sets to optimize model efficiency and performance.
Business Insights & Visualization: Translate complex model outputs and data analyses into intuitive visualizations, reports, and strategic recommendations for stakeholders.
Model Validation & Maintenance: Continuously test, validate, and monitor model performance in production to ensure accuracy, fairness, and reliability over time.
Cross-Functional Collaboration: Partner with data engineering, product management, and business domain teams to align data science initiatives with core organizational objectives.
Qualifications & Requirements
Experience: 3 5+ years of hands-on experience in data science, predictive modeling, and applied machine learning within a business or enterprise environment.
Technical Proficiency:
Strong programming skills in Python or R, alongside advanced SQL for complex queries and data extraction.
Practical experience with core data science libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost) and deep learning frameworks (PyTorch or TensorFlow).
Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib/Seaborn).
Cloud platform experience (AWS, Azure, or GCP) for running model workflows and managing data.
Preferred Qualifications
Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related quantitative field.
Prior experience working in financial services, healthcare, or corporate technology environments.
Knowledge of standard software engineering practices (Git, version control, CI/CD).
