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Data Science New Grad Jobs (NOW HIRING)

SentiLink

Data Scientist, New Grad

... new data sources and inventive feature engineering. • Write production-ready code that can be ... Qualifications : Required : • Bachelor's, Master's, or PhD in Statistics, Computer Science ...

Socket.dev

Principal Data Scientist

Manhattan, NY · On-site

$176.50 - $201.40/hr

You're not afraid to share a new idea. * Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science ...

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Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc ...

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How much do data science new grad jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data science new grad 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 Data Science New Grad roles?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What types of projects can a Data Science New Grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What are the key skills and qualifications needed to thrive as a Data Science New Grad, and why are they important?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.
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Data Science New Grad jobs near you
Infographic showing various Data Science New Grad job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist, New Grad

Data Scientist, New Grad

SentiLink

Remote

Full-time

Posted 20 days ago

Job description

Job Summary:
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. As a Data Scientist, you will build fraud detection models and advance products in financial risk while gaining hands-on experience across the full machine learning lifecycle.
Responsibilities:
• Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
• Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
• Research new types of fraud and develop new SentiLink products around identity verification.
• Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering.
• Write production-ready code that can be relied on for real-time decision making by our partners.
• Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
• Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access.
Qualifications:
Required:
• Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research
• Strong foundation in machine learning, statistics, or applied data science
• Experience with Python and common data science tools through coursework, research, internships, or personal projects
• Demonstrated ability to analyze complex problems and build data-driven solutions
• Strong communication skills and ability to explain technical ideas clearly
• Interest in learning deeply about fraud, identity, and financial risk systems
• Ability to write clean, maintainable code
• Strong attention to detail and curiosity about real-world data problems
• Candidates must be legally authorized to work in the United States and must live in the United States
• Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems
Company:
SentiLink is an identity verification technology company that helps in detecting and blocking synthetic identities. Founded in 2017, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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