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New Grad Data Scientist Jobs (NOW HIRING)

SentiLink

Data Scientist, New Grad

As a Data Scientist, you will build fraud detection models and advance products in financial risk ... new SentiLink products around identity verification. • Achieve success by researching ...

Brillient

Data Scientist

Silver Spring, MD

Reviews and evaluate clinical study protocols and reports submitted in NDAs (New Drug Applications ... The Data Scientist is responsible for reaching regulatory decisions and recommending approval of ...

campus4tech

Data Scientist

Manhattan, NY · On-site

Job Title- Data Scientist Location- New York, NY 10112 Reporting Type- Onsite W2 candidates only preferred Green Card Holders and US Citizens only preferred Summary This role involves building and ...

City of New York

Data Scientist

Manhattan, NY · On-site +1

The New York City Taxi and Limousine Commission regulates for-hire transportation across NYC taxis ... We are seeking a Data Scientist that will join the Data Analytics Unit, within TLC's Policy ...

City of New York

Data Scientist

Manhattan, NY · On-site +1

The New York City Taxi and Limousine Commission regulates for-hire transportation across NYC taxis ... We are seeking a Data Scientist that will join the Data Analytics Unit, within TLC's Policy ...

City of New York

Data Scientist

Manhattan, NY · On-site +1

The New York City Taxi and Limousine Commission regulates for-hire transportation across NYC taxis ... We are seeking a Data Scientist that will join the Data Analytics Unit, within TLC's Policy ...

City of New York

Data Scientist

Manhattan, NY · On-site

$80K - $90K/yr

The New York City Taxi and Limousine Commission regulates for-hire transportation across NYC taxis ... We are seeking a Data Scientist that will join the Data Analytics Unit, within TLC's Policy ...

City of New York

Data Scientist

Manhattan, NY · On-site +1

The New York City Taxi and Limousine Commission regulates for-hire transportation across NYC taxis ... We are seeking a Data Scientist that will join the Data Analytics Unit, within TLC's Policy ...

Reyes Holdings

Data Scientist

Rosemont, IL

Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine ... Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you ...

Reyes Holdings

Data Scientist

Rosemont, IL · On-site

Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine ... Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business ...

Public Health Solutions

Data Scientist

Queens, NY · On-site

$126K/yr

... New York City Department of Health and Mental Hygiene (NYC DOHMH) is one of the largest public ... The Center for Population Health Data Science (CPHDS)- launched in October of 2023- aims to ...

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

As of Jul 25, 2026, the average yearly pay for new grad data scientist 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 New Grad Data Scientists?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

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

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

More about New Grad Data Scientist jobs
What cities are hiring for New Grad Data Scientist jobs? Cities with the most New Grad Data Scientist job openings:
What states have the most New Grad Data Scientist jobs? States with the most job openings for New Grad Data Scientist jobs include:
What job categories do people searching New Grad Data Scientist jobs look for? The top searched job categories for New Grad Data Scientist jobs are:
New Grad Data Scientist jobs near you
Infographic showing various New Grad Data Scientist 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 16 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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