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Temp F1 Data Science Jobs (NOW HIRING)

Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent ... Please note, we are unable to provide employer support for H1, F1, or OPT visas now or in the ...

Evaluate model performance using relevant metrics (e.g., accuracy, precision, recall, F1-score ... Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. * 3+ years of ...

Evaluate model performance using relevant metrics (e.g., accuracy, precision, recall, F1-score ... Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. * 3+ years of ...

Senior Data Scientist

Richardson, TX · On-site

$110K - $175K/yr

Evaluate model performance using relevant metrics (e.g., accuracy, precision, recall, F1-score ... Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. * 3+ years of ...

... temporary) Work Schedule Monday - Friday 8:00 AM - 5:00 PM Position Location Laurel Position ... Leads and manages data science projects from inception to deployment, ensuring alignment with ...

... science support for optimization initiatives, strategic planning, and high-impact business ... This position is not currently eligible for employer-sponsored work authorization (for example, F1 ...

Data Science & Analytics Manager Company: The Boeing Company Summary: Boeing Commercial Airplanes ... Candidates must have at least one year of experience in a leadership role (team leader, temp ...

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Temp F1 Data Science information

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$34K

$82.6K

$136K

How much do temp f1 data science jobs pay per year?

As of Jun 5, 2026, the average yearly pay for temp f1 data science in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Temp F1 Data Science vs Data Analyst?

AspectTemp F1 Data ScienceData Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; some roles prefer certifications in data analysis or machine learningBachelor's in Statistics, Mathematics, or related field; often requires proficiency in data visualization and SQL
Work EnvironmentProject-based, collaborative teams, often in tech or finance industriesBusiness-focused, working with stakeholders to interpret data and generate reports
Employer & Industry UsageUsed by tech companies, financial institutions, and research organizationsCommon in corporate, healthcare, and marketing sectors

Temp F1 Data Science roles focus on developing models and advanced analytics, requiring technical skills in programming and machine learning. Data Analysts primarily interpret data, create reports, and support decision-making with visualization tools. Both roles share foundational skills but differ in complexity and scope.

What cities are hiring for Temp F1 Data Science jobs? Cities with the most Temp F1 Data Science job openings:
What are the most commonly searched types of F1 Data Science jobs? The most popular types of F1 Data Science jobs are:
What states have the most Temp F1 Data Science jobs? States with the most job openings for Temp F1 Data Science jobs include:
Data Scientist II - Computer Vision

Data Scientist II - Computer Vision

Socure

New York, NY • On-site

$140K - $170K/yr

Full-time

Posted 14 days ago


Job description

Why Socure?
Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.
About the Role
We are seeking a Data Scientist II with strong experience in computer vision and deep learning to join our document verification team. This role is intended for an experienced individual contributor who can work independently on production ML models, own well-scoped modeling initiatives, and contribute to technical decision-making-while partnering closely with senior data scientists and engineers. You will help build and improve ML systems that analyze identity and document images at scale and play an active role in evolving our modeling approaches and infrastructure.
What You'll Do
  • Develop, maintain, and improve machine learning models for document verification use cases such as document classification, image quality assessment, field extraction, and fraud detection.
  • Independently implement and evaluate deep learning architectures, including CNNs and transformer-based vision or multimodal models..
  • Own well-defined components of end-to-end ML pipelines, including data preparation, model training, evaluation, and deployment to production.
  • Perform in-depth error analysis, model diagnostics, and performance optimization, and propose data- or model-driven improvements.
  • Contribute to technical design discussions, code reviews, and modeling best practices across the team.
  • Write production-quality, maintainable code and contribute to shared ML tooling and infrastructure.
  • Collaborate with engineering and product partners to ensure models meet product, performance, and reliability requirements.
What You Bring
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience, with 5 years or equivalent of professional experience in machine learning or data science. MS or Ph.D is a plus.
  • Strong proficiency in Python and hands-on experience with ML frameworks such as PyTorch or TensorFlow.
  • Solid experience applying deep learning models (especially CNNs) in real-world computer vision systems, with working knowledge of transformer-based approaches.
  • Strong understanding of model evaluation, experimentation, and ML fundamentals, including overfitting, regularization, and transfer learning.
  • Experience with version control (Git), experiment tracking, and reproducible ML workflows.
  • Ability to communicate technical ideas clearly and work effectively in a cross-functional team.

Please note, we are unable to provide employer support for H1, F1, or OPT visas now or in the future.
Applicants must be based out of a Socure Talent Hub: San Francisco, NYC, Seattle, Miami, or DC.
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.
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