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Data Science Startup Jobs in New York (NOW HIRING)

SageSure

Director Data Science

Jersey City, NJ

... of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is ... In this role, you will lead a team of data scientists in solving some of the most complex and high ...

SageSure

Director Data Science

Jersey City, NJ · On-site

... of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is ... In this role, you will lead a team of data scientists in solving some of the most complex and high ...

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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How much do data science startup jobs pay per year?

As of Aug 29, 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?

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 a data science startup, 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:

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The top searched job categories for Data Science Startup jobs in New York are:

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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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,411 per year, or $59.3 per hour.

Director Data Science

Jersey City, NJ

SageSure
Insurance Services • 501 - 1,000 employees
Learn more about SageSureexternal

Full-time

Posted 11 days ago

Job description

Overview: 

If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Director, Data Science. In this role, you will lead a team of data scientists in solving some of the most complex and high-impact challenges in the business. You will guide the development of advanced analytics, AI, and machine learning solutions while shaping strategy, influencing cross-functional decision-making, and building scalable processes that mature SageSure's data capabilities. 

We are looking for a highly motivated, strategically minded, and innovative leader who thrives in both ambiguity and complexity-someone who can elevate team performance, collaborate across the organization, and set a vision for the future of Data Science at SageSure. 

What you'd be doing: 

  • Partner with senior leaders across Product, Engineering, Program, and Operations to understand business needs and translate them into a cohesive Data Science strategy and roadmap. 
  • Influence and align stakeholders by articulating clear priorities, trade-offs, and expected outcomes; ensure downstream teams have full context to execute effectively. 
  • Foster a culture of accountability, collaboration, and continuous improvement across the team and cross-functional partners. 
  • Lead, mentor, and develop a high-performing team of data scientists; provide coaching, career development, and structured feedback while ensuring clarity of expectations. 
  • Build strong team health by promoting inclusion, psychological safety, and a values-driven culture. 
  • Ensure the team structure, processes, and operating rhythms support long-term scalability and organizational needs. 
  • Oversee the design, development, and deployment of machine learning models and advanced analytics solutions that drive business impact, improve operational efficiency, and strengthen decision-making. 
  • Champion experimentation, innovation, and responsible use of AI; ensure solutions adhere to best practices in model governance, data ethics, and performance monitoring. 
  • Translate complex technical concepts into clear, actionable insights for non-technical stakeholders, including senior executives. 
  • Build and refine scalable processes, documentation, and standards that enhance quality, reproducibility, and onboarding efficiency. 
  • Ensure responsible stewardship of data, models, and technical resources; make fiscally sound decisions aligned with departmental objectives and priorities. 
  • Break down silos by promoting cross-functional problem-solving and encouraging teams to think beyond their lane to achieve shared goals. 

We're looking for someone who has: 

  • Bachelor's or Master's degree in a quantitative field (Data Science, Computer Science, Statistics, Mathematics, etc.). 
  • 3+ years of leadership experience managing data scientists or analytics teams in a fast-paced environment. 
  • Deep expertise in Python, SQL, and modern data science/ML tooling (Pandas, NumPy, TensorFlow, etc.). 
  • Strong understanding of AWS or comparable cloud architecture. 
  • Demonstrated success delivering machine learning solutions that drive measurable business outcomes. 
  • Proven ability to think strategically, manage complex initiatives, and prioritize effectively across competing demands. 
  • Exceptional communication skills, with the ability to influence senior executives and guide teams through ambiguity. 

Highly preferred candidates also have: 

  • Experience in P&C insurance or another highly regulated, data-intensive industry. 
  • Exposure to large-scale, real-time data pipelines and MLOps practices. 
  • Experience building cross-functional operating models, processes, or governance frameworks. 
  • Experience leading through organizational change and building long-term analytics foundations. 

Data and AI at SageSure:  

At SageSure, data and AI aren't just functions-they're engines for innovation. Our Data & AI organization brings together Data Science, Business Intelligence, Data Management, and emerging AI capabilities to power smarter decisions and deliver meaningful impact across the business. From advanced machine learning models to scalable data ecosystems and real-time insights, we transform complex information into clarity that drives strategic outcomes. 

We're building a team of curious, collaborative problem-solvers who are excited about pushing the boundaries of what data and AI can do. Whether you're developing predictive models, enhancing AI-driven capabilities, strengthening data governance, or uncovering insights that influence key decisions, you'll play a critical role in shaping how SageSure uses data and intelligence to lead the future of insurance. 

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