2

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

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.

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 ...

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 ...

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

... science across NinjaOne's expanding product offering. You'll build the pipelines and data ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Remote, however travel might be required as per business requirements FTE Only Where you're headed You'll creatively use data to solve business challenges, often uncovering new and transformative ...

Required Qualifications: * 3+ years of experience in data science or analytics, ideally in a product-driven environment. * BS or equivalent, with a track record of strong analytical and logical ...

Master's degree in Statistics, Data Science, Mathematics, Computer Science, Operational Research ... Internship or project experience in AI engineering, machine learning, or a related field ...

Showing results 41-60

Data Science Remote Internship information

What is a data science remote internship?

A Data Science Remote Internship is a temporary, practical work experience opportunity in the field of data science that is completed remotely, usually from your own home or any location with internet access. Interns work on real-world projects involving data analysis, machine learning, and statistical modeling, often collaborating with teams through online communication tools. This type of internship is ideal for gaining hands-on experience, building a portfolio, and developing skills relevant to data science careers, all while offering flexibility and eliminating the need to relocate.

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

To thrive as a Data Science Remote Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or projects in data science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow) is typically expected. Strong problem-solving abilities, self-motivation, and effective communication are essential soft skills for collaborating remotely and conveying analytical insights. These competencies ensure you can independently contribute to projects, adapt to remote workflows, and deliver actionable data-driven solutions.

What types of projects can I expect to work on during a remote data science internship, and how is project collaboration typically managed?

During a remote data science internship, you can expect to work on projects such as data cleaning, exploratory data analysis, model development, and visualization tasks that support ongoing business needs. Collaboration is commonly managed through virtual tools like Slack, Zoom, and project management platforms (e.g., Jira or Trello), with regular check-ins and code reviews from your mentor or team. Interns often participate in team meetings, contribute to group presentations, and use version control systems like Git to share code and receive feedback. This structure ensures you gain practical experience while staying connected with your team, even in a remote setting.

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

AspectData Science Remote InternshipData Analyst Remote Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften pursuing or recent graduate in Data Analysis, Business, or related fields
Work EnvironmentRemote, collaborative with data science teams, using programming languages like Python or RRemote, focusing on data interpretation, visualization, and reporting tools like Excel, SQL, Tableau
Employer & Industry UsageTech companies, finance, healthcare, startupsBusiness, marketing, finance, consulting firms

While both roles involve working with data remotely, Data Science Remote Internships focus on building predictive models and programming skills, whereas Data Analyst Remote Internships emphasize data interpretation, visualization, and reporting. The choice depends on your career goals and skill set.

What are the most commonly searched types of Data Science Remote jobs in New York?

The most popular types of Data Science Remote jobs in New York are:

What cities in New York are hiring for Data Science Remote Internship jobs?

Cities in New York with the most Data Science Remote Internship job openings:

Infographic showing various Data Science Remote Internship job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Scientist (forecasting & optimization) Consultant

Teambuilder

Manhattan, NY • Remote

Other

Re-posted 5 days ago


Job description


TeamBuilder is a rapidly growing healthcare SaaS company on a mission to transform
healthcare with our innovative technology. We believe in empowering our customers through
inventive solutions and a commitment to excellence. Our young, rapidly growing team is
looking for passionate professionals who thrive in a dynamic, innovative, and collaborative
environment.
***This role is FULLY REMOTE, though you MUST reside within the United States and be legally
authorized to work in the United States.
Key Values of all TeamBuilders
 Flexibility – Adapt how we work to meet team and customer needs.
 Accountability – We own commitments and results, and follow through as a team
 Clarity – Communicate expectations, priorities, and decisions clearly.
 Transparency – Share decisions, feedback, and context openly and honestly.
The Role
TeamBuilder builds software for ambulatory healthcare operations. The problem is simple:
turn messy healthcare data into actions.
This role sits between data, forecasting models, and optimization. You own forecasts end to
end and work directly with the optimization layer. Shape inputs, validate outputs, and turn
results into something operators can use.
What You’ll Do
 Forecasting model ownership
o Build and iterate production grade demand and volume forecasts
o Evaluate models with backtesting and real-world performance
o Maintain stability with retraining, drift monitoring, and failure handling
o Improve models based on operational outcomes
 Sit at intersection of data and optimization
o Define input data contracts for optimization models including capacity,
constraints, and demand
o Transform raw data into model-ready features and constraints
o Validate solver outputs and identify infeasibility, constraint conflicts, and scaling
issues
o Trace issues back to data assumptions and constraint design
o Convert outputs into usable schedules and recommendations
 Model + system validation
o Compare model output to operational reality and explain gaps
o Run scenario analyses under different constraints
o Improve pipelines that support forecasting and optimization quality
o Test assumptions against real-world variation
 Communication / translation
o Explain models and outputs to non-technical users including operators and
clients
o Translate tradeoffs between accuracy, feasibility, and constraints
o Deliver clear recommendations tied to business outcomes
o Participate in client conversations and defend model behavior
What We’re Looking For
Qualifications
 5+ years in data science or applied analytics
 Experience owning forecasting models in production
 Strong Python and SQL, comfortable with large datasets
 Experience working with messy data
 Ability to explain technical work clearly to non-technical users
Preferred Skills
 Experience in healthcare or complex operational environments such as staffing or
capacity planning
 Experience with capacity-constrained systems
 Familiarity with solvers such as Gurobi
Why You’ll Love Working Here
 Mission-driven team tackling real healthcare challenges.
 Freedom to experiment and innovate without layers of bureaucracy.
 Opportunity to shape the company’s data science culture and R&D direction.
 Flexible work environment and supportive, intellectually curious teammates.
Additional Information
 Job Type: Contracted, PT/FT, Remote
 Compensation: Hourly, potential to go Full-Time, Perm.potential for an annual performance bonus, and/or equity.
 Culture: We foster a collaborative, engaging, mission-driven culture that values
innovation and prioritizes customer success.

Powered by JazzHR

chTk5y37au