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Internship Data Modeler Jobs in Hackensack, NJ (NOW HIRING)

Starr Insurance Companies

AI/ML Engineer

New York, NY · On-site +1

... modeling, data mining, and machine learning algorithms. This includes propensity and uplift ... Internship or project experience in AI engineering, machine learning, or a related field ...

Kids in the Game

Finance Internship

New York, NY · On-site

$19.50 - $25.50/hr

Build and analyze pricing models for different school programs, conducting scenario-based gross ... Experienced in data analytics. * Proficient in Microsoft Office applications, particularly Excel.

Starr Insurance Companies

AI/ML Engineer

New York, NY · On-site

... modeling, data mining, and machine learning algorithms. This includes propensity and uplift ... Internship or project experience in AI engineering, machine learning, or a related field ...

Kids in the Game

Finance Internship

New York, NY

$19.50 - $25.50/hr

Build and analyze pricing models for different school programs, conducting scenario-based gross ... Experienced in data analytics. * Proficient in Microsoft Office applications, particularly Excel.

Kids in the Game

Finance Internship

New York, NY · On-site

$19.50 - $25.50/hr

Build and analyze pricing models for different school programs, conducting scenario-based gross ... Experienced in data analytics. * Proficient in Microsoft Office applications, particularly Excel.

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal ... Support data collection and analysis in research sessions, assisting with experimental setup and ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal ... Support data collection and analysis in research sessions, assisting with experimental setup and ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal ... Support data collection and analysis in research sessions, assisting with experimental setup and ...

Vendelux Inc

Part time Data Intern

New York, NY · On-site

We are offering a paid internship to an entry-level person looking to break into tech and startups ... Your models will shape how event marketers discover, connect, and measure ROI. * Product market fit:

Precision

Associate, Data Insights Focused

New York, NY · On-site

$58K - $62K/yr

Provides direction to interns as needed. Project & Time Management * Owns assigned tasks updates ... We are currently working in a hybrid model and require staff to work in the office 50% of working ...

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All JobsData Modeler JobsInternship Data Modeler JobsInternship Data Modeler Jobs in Hackensack, NJ

Internship Data Modeler information

See Hackensack, NJ salary details

$11

$64

$90

How much do internship data modeler jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for internship data modeler in Hackensack, NJ is $64.04, according to ZipRecruiter salary data. Most workers in this role earn between $57.40 and $74.47 per hour, depending on experience, location, and employer.

What is the difference between Internship Data Modeler vs Data Analyst?

AspectInternship Data ModelerData Analyst
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related fields
Work EnvironmentInternship setting, often in tech or finance companies, focusing on data modeling tasksOffice environment, analyzing data sets, creating reports, and visualizations
Employer & Industry UsageUsed in companies developing databases, data warehouses, or software solutionsCommon across industries for business insights, marketing, finance, and operations

The Internship Data Modeler focuses on designing and developing data models during an internship, often with a learning component. In contrast, a Data Analyst interprets data, creates reports, and provides insights. While both roles require analytical skills, the internship data modeler emphasizes data structure design, whereas the data analyst emphasizes data interpretation and reporting.

What are the most commonly searched types of Data Modeler jobs in Hackensack, NJ? The most popular types of Data Modeler jobs in Hackensack, NJ are:
Internship Data Modeler jobs near you

Data Scientist, Portfolio Optimization

Formation Bio

New York, NY

$154K - $202K/yr

Full-time

Re-posted 15 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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