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Internship Python Data Science Jobs in Princeton, NJ

Jj

Manager, Data Science - Oncology

Titusville, NJ · On-site +1

Proficiency in data engineering tools such as Python, R and SQL for data processing as well as ... Science, Data Visualization, Developing Others, Digital Fluency, Give Feedback, Inclusive ...

Jj

Manager, Data Science - Oncology

Raritan, NJ · On-site +1

Proficiency in data engineering tools such as Python, R and SQL for data processing as well as ... Science, Data Visualization, Developing Others, Digital Fluency, Give Feedback, Inclusive ...

Prior Labs

Applied Scientist, Data Science

New York, NY · On-site

Deep proficiency in Python and the data science ecosystem, with hands-on experience training and deploying deep learning models in PyTorch, including modern deep learning - architectures (especially ...

Superhuman

Director, Data Science

New York, NY · On-site

$302K - $454K/yr

The Opportunity As Director, Data Science , you will lead the data science strategy and team for a ... Strong fluency in SQL, R, Python, and/or modern data tooling, with the ability to guide teams on ...

Lemonade

Data Science Manager

New York, NY · On-site

$210K - $230K/yr

You'll sit within our Data Science team, owning the direction of a group of talented data ... Fluency in Python and/or R * Solid understanding of both relational and NoSQL databases * A track ...

Oscar Health

Senior Manager, Data Science

New York, NY · Hybrid

$180K - $236K/yr

We're hiring a Senior Manager, Data Science to join our Data Team. Oscar is the first health ... and/or Python to query, manipulate and analyze data * 4+ years experience building data models ...

Dentsu Aegis Network

VP, Data Science

New York, NY · On-site

$163K - $220K/yr

Role Summary Reports to: EVP, Data Experience Lead Dentsu's measurement and marketing science ... Deep proficiency in Python and modern ML/statistical tooling (e.g., PyMC, Stan, scikitlearn)

Dentsu, Inc.

VP, Data Science

New York, NY · On-site

$163K - $220K/yr

Role Summary Reports to: EVP, Data Experience Lead Dentsu's measurement and marketing science ... Deep proficiency in Python and modern ML/statistical tooling (e.g., PyMC, Stan, scikit-learn)

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How much do internship python data science jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for internship python data science in Princeton, NJ is $23.59, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $25.72 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Python Data Science, and why are they important?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

What is the difference between Internship Python Data Science vs Data Analyst Intern?

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What types of projects can I expect to work on during a Python Data Science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an Internship Python Data Science position?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.
What are popular job titles related to Internship Python Data Science jobs in Princeton, NJ? For Internship Python Data Science jobs in Princeton, NJ, the most frequently searched job titles are:
What job categories do people searching Internship Python Data Science jobs in Princeton, NJ look for? The top searched job categories for Internship Python Data Science jobs in Princeton, NJ are:
Internship Python Data Science jobs near you

Junior Business Scientist, Data Science and Marketing Effectiveness

Ekimetrics

New York, NY • On-site

$75K/yr

Full-time

PTO

Posted 20 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 a Junior Business Scientist in Data Science & Marketing Effectiveness, 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
$75,000 - $75,000 a year
What We Offer:
At Ekimetrics, final base salary is determined by a multitude of factors and vary from candidate to candidate. Determining factors for base compensation include, but are not limited to, professional background, years of experience, and skillset. A reasonable estimate of the base salary for our NYC office is $75,000. In addition to this base salary, we have a comprehensive benefits package, generous bonus package, and a dynamic promotions and salary raise structure.
 
Career development and growth opportunities 
- An emphasis on work-life balance and 20 PTO days per year and holidays
- 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. 
- Receive mentoring and coaching, with structured career progression from Junior Business Scientist, Business Scientist, Senior Business Scientist, Manager and more.  
- 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. 
Why Join Us?
At Ekimetrics, your ideas truly matter. We embrace an entrepreneurial spirit, encouraging you to push boundaries while thriving in a collaborative environment. We believe in enjoying what we do and fostering a safe, inclusive space where you can bring your authentic self. 
 
In 2023, Ekimetrics obtained "mission-driven company" status, reflecting our commitment to CSR. 
Our purpose: Accelerate organisations' transformation towards sustainability through data science and AI. 
 
We are proud to have been certified Great Place to Work in France, the UK, and the US, with our Hong Kong office recognised as Best Companies to Work for in Asia 2023. Ekimetrics is also part of the French Tech 120, selected among the top French scale-ups with potential for international leadership. 
 
Position Type: Permanent
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.
 
Please note that for this recruitment we do not offer visa sponsorship or transfer.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
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