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Remote Data Science Intern Jobs in New York (NOW HIRING)

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Sr. Data Scientist

New York, NY · On-site +1

$226K - $287K/yr

Telecommuting and/or remote employment permitted. Minimum Requirements: Master's degree (or a foreign equivalent) in Finance, Data Science, or a related field and three (3) years of experience in the ...

PortPro

Data Scientist

New York, NY · Remote

Experience with data science toolkits, such as NumPy, Pandas, Matplotlib. * Familiarity with Big Data tools and platforms, such as Hadoop, Spark, or similar. * Strong analytical skills with the ...

PortPro

Data Scientist

New York, NY · On-site +1

Experience with data science toolkits, such as NumPy, Pandas, Matplotlib. * Familiarity with Big Data tools and platforms, such as Hadoop, Spark, or similar. * Strong analytical skills with the ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc...) * Strong knowledge of key programming concepts (e.g. split ...

Jj

Lead Data Scientist

New Brunswick, NJ · On-site +1

$140K - $160K/yr

Data Science Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New Jersey, United States of America Employer: Janssen Supply Group, LLC Job Title: Lead Data Scientist Job ...

Hang

Data Scientist

New York, NY · On-site +1

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. * 5-10+ years of proven experience as a Data Scientist or in a similar role. * Strong knowledge of ...

Johnson and Johnson

Lead Data Scientist

New Brunswick, NJ · On-site +1

$140K - $160K/yr

Data Science Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New Jersey, United States of America Employer: Janssen Supply Group, LLC Job Title: Lead Data Scientist Job ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Develop statistical models and data science solutions while also implementing the infrastructure to ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Develop statistical models and data science solutions while also implementing the infrastructure to ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

OpenX

Staff Data Scientist

New York, NY · Remote

$195K - $218K/yr

Identify and lead high-impact, cross-team data science initiatives, such as improving bidding strategies, building new prediction systems, or redesigning experimentation frameworks * In partnership ...

OpenX

Staff Data Scientist

New York, NY · On-site +1

Identify and lead high-impact, cross-team data science initiatives, such as improving bidding strategies, building new prediction systems, or redesigning experimentation frameworks * In partnership ...

Found

Senior Data Scientist, Risk

New York, NY · On-site +1

$163K - $225K/yr

You will work closely with our Engineering, Data Science, Product, and Operations teams to build ... For team members who work outside those cities, Found also supports fully remote working.

Carlyle

Investment Data Scientist

New York, NY · On-site +1

$190K - $220K/yr

This unique role fuses technical data science expertise with sharp commercial insight, placing you at the crossroads of investment decision-making and value creation. Collaborate closely with our ...

Humana

Lead Data Scientist

New York, NY · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Humana

Lead Data Scientist

New York, NY · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Jackpot

Director of Data & Analytics

New York, NY · On-site +1

$170K - $200K/yr

While this is a remote position, you must be located or willing to relocate to the NYC Metro area to qualify. WHAT YOU'LL DO: * Set the vision and strategy for Data Analytics and Data Science

City of New York

Data Scientist

Manhattan, NY · On-site +1

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... environmental science or in public health. To be appointed to Assignment Level II and above ...

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Remote Data Science Intern information

What is a remote data science intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects does a remote data science intern typically work on, and how do they collaborate with their team?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

What are the key skills and qualifications needed to thrive as a remote data science intern, and why are they important?

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.
What are the most commonly searched types of Remote Data Science jobs in New York? The most popular types of Remote Data Science jobs in New York are:
What are popular job titles related to Remote Data Science Intern jobs in New York? For Remote Data Science Intern jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Intern jobs in New York look for? The top searched job categories for Remote Data Science Intern jobs in New York are:
What cities in New York are hiring for Remote Data Science Intern jobs? Cities in New York with the most Remote Data Science Intern job openings:
Remote Data Science Intern jobs near you
Infographic showing various Remote Data Science Intern job openings in New York as of August 2026, with employment types broken down into 43% Internship, and 57% Full Time. Highlights an 100% Remote job distribution.

Sr. Data Scientist

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New York, NY • On-site, Remote

$226K - $287K/yr

Full-time

Posted 13 days ago

Job description

Job Duties: Deep strategic analysis to answer core business and operational questions including assessing the trade-off between metrics change, evaluating overall impact of changes of ads ecosystem. Write clear, actionable data and business analyses that help teams identify areas of improvement and investment. Build segmentation models to assess supply to inform pricing strategy. Improve decision velocity and quality using data scientist tool kit as well as experimentation, causal inference techniques. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results including building tools for experiment analysis. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments, including spanning from collecting entirely new datasets to building dashboards to track components of a metric (e.g., monitoring conversion data for missing values, implausible values, duplicated data). Telecommuting and/or remote employment permitted.

 Minimum Requirements: Master's degree (or a foreign equivalent) in Finance, Data Science, or a related field and three (3) years of experience in the job offered or in a related position.

 Special Skill Requirements: Must have at least three (3) years of experience in each of the following:

  1. Advanced SQL proficiency for large-scale data analysis in distributed data warehouse environments such as Presto, Spark SQL, and Hive.
  2. Strong Python proficiency for large-scale data analysis and modeling, including the use of pandas, NumPy, stats models, and scikit-learn, as well as building robust analysis pipelines and production-ready notebooks or scripts.
  3. Deep expertise in applied machine learning and algorithmic modeling, including model development, evaluation, and optimization for real-world product use cases.
  4. Expertise in designing and analyzing online experiments for product changes, including power analysis, variance reduction, guardrail design, and heterogeneous treatment effect analysis on key metrics.
  5. Ability to structure ambiguous product questions into clear analytical roadmaps and deliver recommendations with quantified impact, risks, and assumptions.
  6. Expertise in causal inference for observational analyses, including methods such as propensity score matching/weighting and difference-in-differences, to estimate incremental impact and control for confounding factors.
  7. Experience defining and governing metrics and instrumentation, including event taxonomy, deduplication rules, attribution windows, metric specifications, data contracts, and lineage, to ensure consistency and reliability.
  8. Experience building scalable dashboards and automated insight-generation workflows to monitor core metrics, surface anomalies, and deliver stakeholder-ready insights for cross-functional partners.
  9. Experience conducting funnel and ecosystem analyses to identify bottlenecks, quantify trade-offs, and prioritize high-leverage product opportunities.
  10. Experience performing segmentation and cohort analyses to understand differences in engagement and retention, and to inform targeted interventions.
  11. Experience building clustering and segmentation models to identify meaningful user segments and usage scenarios.
  12. Strong statistical modeling and inference skills to quantify effects, measure uncertainty, and communicate statistical significance appropriately.

Telecommuting and/or remote employment permitted.

 Salary: $226,089.00 - $287,749.00 per annum.

Reference #: L25-172716

This position is not available for relocation assistance.

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