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Data Science Internship Jobs in Summit, NJ (NOW HIRING)

Roku

Senior Data Scientist

New York, NY · On-site

$126K - $199K/yr

... Science, or related field plus 2 years of experience as a Data Scientist, Data Analytics Extern, Data Scientist Intern, or related occupation. * Must have prior experience, internship, project ...

Point72

Sector Analyst, MI-Data

New York, NY · On-site

One to five years of prior equity/investment/scientific research or consulting experience, including any relevant internship experience * Comfort with analyzing novel data and explaining concepts to ...

Point72

Sector Analyst, MI-Data

New York, NY · On-site

One to five years of prior equity/investment/scientific research or consulting experience, including any relevant internship experience * Comfort with analyzing novel data and explaining concepts to ...

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See Summit, NJ salary details

$12

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How much do data science internship jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data science internship in Summit, NJ is $23.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.41 and $26.06 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on during a data science internship?

As a Data Science Intern, you may be involved in projects such as analyzing datasets to uncover trends, building and testing predictive models, or creating visual reports to help stakeholders understand key findings. Interns often support ongoing research, assist with data cleaning and preprocessing, and collaborate on team projects under the guidance of experienced data scientists. Depending on the company's focus, you might also contribute to deploying models or automating data pipelines. These tasks are designed to give you practical experience with real-world data challenges and help develop your technical and analytical skills.

What are the key skills and qualifications needed to thrive in a data science internship, and why are they important?

To thrive as a Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by progress towards a degree in a quantitative field. Familiarity with tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau, Power BI) is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication are essential soft skills for this role. These abilities are crucial for drawing insights from data, collaborating with technical and non-technical colleagues, and contributing meaningfully to projects.

What are the most commonly searched types of Data Science jobs in Summit, NJ?

The most popular types of Data Science jobs in Summit, NJ are:

What job categories do people searching Data Science Internship jobs in Summit, NJ look for?

The top searched job categories for Data Science Internship jobs in Summit, NJ are:

What cities near Summit, NJ are hiring for Data Science Internship jobs?

Cities near Summit, NJ with the most Data Science Internship job openings:

Data Science Internship jobs near you
Infographic showing various Data Science Internship job openings in Summit, NJ as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $49,739 per year, or $23.9 per hour.

Data Scientist, Portfolio Optimization

Formation Bio

New York, NY • On-site

$154K - $202K/yr

Full-time

Re-posted 11 days ago

Job description

About the Position 

As a Data Scientist on the platform prediction team, you'll translate our probability of success predictions into measurable portfolio-level outcomes. You'll architect core systems - order management, execution simulation, portfolio construction, risk monitoring, and performance attribution - that let us rigorously evaluate signals from our AI-driven predictions in public and private equities and our internal portfolio.

This role sits at the intersection of quantitative finance, healthcare data, and AI-driven drug development. If you're excited about applying portfolio construction and risk management fundamentals to one of the most consequential prediction problems in healthcare, this is the role.No other company - hedge fund or pharma - has a technical data science position translating drug development experience into durable AI-native portfolio strategies. The skills you develop here - portfolio construction over assets with radically asymmetric risk profiles, clinical trial analytics, AI/ML in production, and risk management across multi-year horizons - can directly impact the delivery of new and effective therapeutics to patients by best aligning impactful medicines with economic incentives.

Responsibilities

  • Work with the team to implement and maintain core portfolio engine: order management system, execution simulation layer, portfolio construction service, and performance tracking
  • Design risk frameworks that quantify exposure across a portfolio of drug development bets with radically different risk profiles, timelines, and failure modes
  • Run rigorous backtesting experiments with strict temporal constraints to evaluate Formation strategies against baseline approaches and measure marginal signal from new evidence sources
  • Coordinate across the organization to integrate internal Formation data sources (clinical trial data, genomic evidence, real-world data) and proprietary tooling into portfolio analytics pipelines
  • Work with product and engineering teams to build dashboards and reporting that communicate portfolio performance, risk metrics, and strategy comparisons to both technical and executive stakeholders
  • Collaborate with the broader data science team to ensure portfolio-level evaluation feeds back into model improvement and evidence prioritization

About You 

Required Qualifications

  • PhD in a quantitative field (statistics, finance, physics, computational science, engineering, or related)
  • 1-3 years in a quantitative research, data science, or analytics role in life sciences or life science adjacent field (healthcare, academic research, or consulting all count; substantive internships qualify)
  • Strong Python programming skills with experience in data-intensive workflows (pandas, numpy, scipy)
  • Solid grasp of core portfolio construction and risk concepts: position sizing, rebalancing, Sharpe ratio, drawdown, volatility, benchmark comparison
  • Demonstrated ability to work with messy, real-world datasets - comfortable with data wrangling, deduplication, and quality assessment
  • Clear communicator who can present quantitative results to both technical peers and business stakeholders

Preferred Qualifications

  • Experience with backtesting frameworks or portfolio simulation (vectorbt, Backtrader, or custom implementations)
  • Exposure to healthcare, pharma, or biotech data (clinical trials, claims data, -omics, real-world evidence)
  • Familiarity with alternative data in a research or investment context
  • Experience with probability-of-success modeling, drug development decision analysis, or health economics
  • Comfort with LLMs or AI/ML pipelines in a production or research setting
  • Familiarity with dashboard/visualization tools (Streamlit, Plotly, Dash) and pipeline orchestration (Dagster, Airflow)

Healthcare OR finance domain knowledge is valued; both are not required.

Total Compensation Range: $154,500 - $202,000

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