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Data Science New Grad Jobs in Princeton Junction, NJ

Data Science Tutor

Trenton, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Data Science Tutor

Westfield, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Associate, Data Science

New York, NY · On-site

$64K - $65K/yr

We are headquartered in New York City, with offices in Los Angeles and Toronto. A leader in driving ... This person will apply sophisticated data science, modeling, and other advanced analytics ...

Associate, Data Science

New York, NY · On-site

$64K - $65K/yr

We are headquartered in New York City, with offices in Los Angeles and Toronto. A leader in driving ... This person will apply sophisticated data science, modeling, and other advanced analytics ...

Empower the team to innovate and explore new methodologies and improve upon existing algorithms ... Own Data Science prioritization for AI/ML outcomes, allocate resources and manage workload * Drive ...

Data Science Manager

New York, NY · On-site

$160K - $220K/yr

Empower the team to innovate and explore new methodologies and improve upon existing algorithms ... Own Data Science prioritization for AI/ML outcomes, allocate resources and manage workload * Drive ...

Director of Data Science

New York, NY · On-site

$225K - $250K/yr

Built In's 2025 Best Places to Work For In New York City * Built In's 2024 & 2025 Best Startups to ... At Brigit, our Data Science team has been dramatically scaling its impact. We're aiming to ...

Contribute to the growth of the practice by identifying new opportunities, strengthening client relationships, supporting business development efforts, and expanding Burson's data science and AI ...

Contribute to the growth of the practice by identifying new opportunities, strengthening client relationships, supporting business development efforts, and expanding Burson's data science and AI ...

Showing results 21-40

Data Science New Grad information

See Princeton Junction, NJ salary details

$39.5K

$129.2K

$206.9K

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

As of Sep 7, 2026, the average yearly pay for data science new grad in Princeton Junction, NJ is $129,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,700.00 and $143,200.00 per year, depending on experience, location, and employer.

What is a data science new grad?

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 are the key skills and qualifications needed to thrive as a data science new grad?

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.

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 job categories do people searching Data Science New Grad jobs in Princeton Junction, NJ look for?

The top searched job categories for Data Science New Grad jobs in Princeton Junction, NJ are:

What cities near Princeton Junction, NJ are hiring for Data Science New Grad jobs?

Cities near Princeton Junction, NJ with the most Data Science New Grad job openings:

Infographic showing various Data Science New Grad job openings in Princeton Junction, NJ as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $129,209 per year, or $62.1 per hour.

6 months Internship in Strategy & Data Science | New York

Ekimetrics

New York, NY • On-site

$2.8K/mo

Internship

Re-posted 21 days ago


Job description

Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we've been helping businesses optimize marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing Effectiveness, Customer Analytics, Operational Excellence, ESG & sustainability.
With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services.
We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world's most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA.
Your Responsibilities
As an intern at Ekimetrics, you will contribute to high-quality analytics projects for international clients across industries such as Auto, Beauty, Retail, and Financial Services. You will gain hands-on experience in marketing and customer analytics, working closely with Senior Business Scientists and Managers.
- Contribute to one major client project in Marketing Mix Modeling (MMM) and Marketing Mix Optimization (MMO)
- Clean, prepare, and manipulate data from multiple sources using Python, R, SQL, or Excel
- Support statistical and predictive modeling, including regression, econometrics, Bayesian methods, and marketing metrics.
- Help develop dashboards, charts, and visualizations to communicate insights effectively to clients and internal teams.
- Participate in client meetings and calls under supervision, contributing insights and helping translate analytics into practical recommendations
- Support the preparation of client deliverables, ensuring accuracy, quality, and timely delivery
- Take part in team knowledge-sharing sessions, learning from colleagues and sharing best practices where possible
- Take ownership of professional development, pursuing relevant certifications and training paths in programming, analytics, and data science
- Actively participate in office meetings, training sessions, and team initiatives
- Champion and role-model our core values: Curiosity, Creativity, Excellence, Generosity, and Enjoyment
Your Profile
Experience & Technical Skills
- 0-2 years of professional experience, including internships or graduate placements
- Bachelor's or Master's degree (or equivalent) in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or a related analytical field
Basic knowledge of Python or R, and other analytics tools; willingness to learn more advanced techniques
- Understanding of statistical modeling, regression, econometrics, Bayesian statistics, and/or marketing metrics
- Ability to work with and clean large datasets while maintaining attention to quality
- Nice-to-have experience with Databricks, Azure, or MMM exposure
- Proficient in Microsoft Office (Excel, PowerPoint, Word)
Soft Skills
- Analytical mindset, curiosity, and problem solving skills
- Ability to work autonomously while being a collaborative team member
- Strong communication skills to engage with clients and internal teams
- Interest in business challenges, marketing strategy, and results-oriented thinking
- Positive attitude, resilience, and sense of humor
$2,800 - $2,800 a month
What We Offer:
At Ekimetrics, interns receive a monthly stipend of $2,800/mo.
Career development and growth opportunities
An emphasis on work-life balance
Annual seminars and retreats
Close knit team with friendly environment, bi-monthly team events and more
Work closely with senior analysts and managers to develop technical, analytical, and client-facing skills.
The Eki.Academy training catalogue: learning paths, solution- and role-specific programs, and Climate School environmental awareness courses.
Gain exposure to international clients, multiple industries, and projects with real business impact.
Opportunity to contribute to thought leadership, internal knowledge management, and innovation initiative.
Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.