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Data Science Startup Jobs in New York (NOW HIRING)

Bedrock Robotics

Data Scientist

New York, NY · On-site

... data science, applied analytics, or applied machine learning roles * Comfort operating as a senior IC in a fast-growing startup, balancing execution with technical judgment and prioritization

Artefact

Director, AI & Data Science

Manhattan, NY · On-site

About the job Do you think like a management consultant, thrive in a startup environment, and can't ... The ideal candidate has a substantial Data Science and machine learning background with 8+ years of ...

Artefact

Director, AI & Data Science

Manhattan, NY · On-site

About the job Do you think like a management consultant, thrive in a startup environment, and can't ... The ideal candidate has a substantial Data Science and machine learning background with 8+ years of ...

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Data Science Startup information

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$25.7K

$123.4K

$230.1K

How much do data science startup jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data science startup in New York is $123,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,863.00 and $171,643.00 per year, depending on experience, location, and employer.

What is a Data Science Startup job?

A Data Science Startup job involves working at an early-stage company that leverages data science to build innovative products or services. Employees typically wear multiple hats, working on data analysis, machine learning models, data pipelines, and sometimes even product or business strategy. The role often requires strong programming skills (Python, SQL), statistical knowledge, and the ability to work in a fast-paced, evolving environment. Since startups have limited resources, adaptability, problem-solving skills, and a willingness to experiment are crucial. It’s a great opportunity to gain diverse experience and make a significant impact in shaping a company's data strategy.

What are the typical challenges faced when working at a data science startup?

Working at a data science startup often involves managing ambiguity, adapting to frequently changing priorities, and balancing multiple roles due to lean team structures. You may be responsible for the entire data pipeline—from data collection and cleaning to building models and presenting findings—making flexibility and resourcefulness essential. Tight project timelines, evolving business goals, and limited initial resources can also be common, so being proactive and self-motivated helps you thrive. On the positive side, these challenges offer significant opportunities to learn rapidly, take ownership of impactful projects, and shape both the company's products and your own career trajectory.

What are the key skills and qualifications needed to thrive in the Data Science Startup position, and why are they important?

To thrive in a Data Science Startup, you need strong analytical skills, proficiency in programming languages like Python or R, and a solid understanding of statistics and machine learning. Familiarity with data visualization tools, cloud platforms, and relevant certifications such as Certified Data Scientist or AWS Certified Data Analytics are highly valued. Adaptability, creative problem-solving, and effective communication are key soft skills that set standout professionals apart in this environment. These skills are vital for driving innovation, efficiently handling rapidly changing projects, and collaborating in a fast-paced, entrepreneurial setting.

What are the most commonly searched types of Data Science Startup jobs in New York? The most popular types of Data Science Startup jobs in New York are:
What are popular job titles related to Data Science Startup jobs in New York? For Data Science Startup jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Science Startup jobs in New York look for? The top searched job categories for Data Science Startup jobs in New York are:
What cities in New York are hiring for Data Science Startup jobs? Cities in New York with the most Data Science Startup job openings:
Data Science Startup jobs near you
Infographic showing various Data Science Startup job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $123,411 per year, or $59.3 per hour.
Principal Data Science

Principal Data Science

Fidelity Investments

Jersey City, NJ • On-site

$126K/yr

Full-time

Medical, Retirement, PTO

Posted 12 days ago

Fidelity Investments rating

8.8

Company rating: 8.8 out of 10

Based on 269 frontline employees who took The Breakroom Quiz

9th of 150 rated financial services

Job description


Note: Fidelity will not provide immigration sponsorship for this position.
The Role
AltIQ is seeking a Principal Data Scientist to help transform alternative investment data into relevant insights and intelligence. This role will focus on analyzing structured and unstructured investment data, developing quantitative models, identifying relevant patterns, and creating analytical frameworks that help investors better understand funds, managers, and investment opportunities. You will work across a wide range of datasets, including private placement memoranda (PPMs), prospectuses, performance reports, manager disclosures, and other investment-related materials.
Interacting directly with Data Engineering, Applied AI, Product, and Business teams, you will help create proprietary insights and analytics that power key capabilities across the AltIQ platform. These capabilities may include benchmarking, fund comparisons, manager scoring, market intelligence, performance analysis, risk analysis and investment research tools.
This is a hands-on role for someone who enjoys solving complex analytical problems, working with messy real-world data, and turning information into actionable intelligence.
The Expertise You Have
  • Analyze large volumes of structured and unstructured investment data to identify trends, patterns, and actionable insights.
  • Develop analytical models, scoring methodologies, and benchmarking frameworks for alternative investments.
  • Create quantitative analyses to support fund comparisons, manager evaluation, and investment research.
  • Design and maintain data models and metrics that support reporting and product capabilities.
  • Partner with Data Engineers to ensure data quality, consistency, and accessibility.
  • Build statistical and predictive models to support business and product objectives.
  • Develop dashboards, reports, and visualizations that communicate insights effectively to users and partners.
  • Conduct exploratory analysis to uncover opportunities for new products, features, and investment intelligence.
  • Collaborate with Product and Business teams to translate user needs into analytical solutions.
  • Present findings and recommendations to partners in a clear and understandable manner.
  • Mentor junior team members and contribute to analytical guidelines.
  • Bachelors or equivalent with 12+ years of experience or Masters with 10+ years of experience in Data Science, Statistics, Mathematics, Economics, Finance, Computer Science, Engineering, or a related field.

The Team
We are Fidelity Labs, Fidelity Investments' in-house FinTech incubator with a mission to build new businesses to drive growth for Fidelity. We seek to shape the future of our industry by building new products and services to improve the lives of the diverse set of customers, businesses and financial institutions we serve.
Fidelity Labs is a dynamic workplace that combines the best parts of startup life-building from scratch, adapting quickly, and moon-shot ambition-with the scale and stability of an industry leader. We provide a safe space for startup teams to explore new business ideas, quickly test them with customers, and scale the most promising concepts within an existing business unit, or as a new venture.
This opportunity is brought to you by Fidelity Labs. Learn more at labs.fidelity.com.
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
The base salary range for this position is $126,000-255,000 USD per year.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
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Data Analytics and Insights

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