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Data Science Startup Jobs in North Carolina (NOW HIRING)

LuckyJay Consulting

You will be part of a fast-paced early-stage startup and have the opportunity to shape the data strategy and product development. * MS in computer science, bioengineering, data science or a related ...

Wasatch Photonics

Embedded Data Scientist

Morrisville, NC · On-site

$90 - $120/hr

... science and embedded firmware exposure, as "big data" is winnowed and squeezed down to run on ... in a fast‑paced startup driven environment. Wasatch Photonics provides a collaborative and ...

Capital Rx

Senior Applied AI/ML Scientist

Charlotte, NC · On-site

$180K - $225K/yr

Develop tools and processes to create data pipelines for ML training and customization * Finetune ... PhD in AI, Machine Learning or Computer Science preferred * Minimum 4 years of experience in ...

Judi Health

Senior Applied AI/ML Scientist

Charlotte, NC · On-site

$180K - $225K/yr

Develop tools and processes to create data pipelines for ML training and customization * Finetune ... PhD in AI, Machine Learning or Computer Science preferred * Minimum 4 years of experience in ...

Tek Smart inc

DevOps Engineer

Charlotte, NC · On-site

$51.50 - $70.50/hr

Experience deploying Data Science models in Python on PCF/Kubernetes. * Experience in Networking ... Should be able to work with startup mentality in a fast paced and constantly evolving team and ...

Tek Smart

DevOps Engineer

Charlotte, NC

$51.50 - $70.50/hr

Experience deploying Data Science models in Python on PCF/Kubernetes. * Experience in Networking ... Should be able to work with startup mentality in a fast paced and constantly evolving team and ...

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Data Science Startup information

See North Carolina salary details

$18.2K

$87.3K

$162.8K

How much do data science startup jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data science startup in North Carolina is $87,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,462.00 and $121,400.00 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 North Carolina?

The most popular types of Data Science Startup jobs in North Carolina are:

What job categories do people searching Data Science Startup jobs in North Carolina look for?

The top searched job categories for Data Science Startup jobs in North Carolina are:

Data Science Startup jobs near you
Infographic showing various Data Science Startup job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $87,286 per year, or $42 per hour.

Data Engineer (Remote)

LuckyJay Consulting

On-site, Remote

Full-time

Re-posted 21 days ago

Job description

Data plays a key role in our growth strategy and product development. In this role, you will lead the design and aid in the implementation of the data architecture required to support our short and long-term data vision.

You will lead the design of a knowledge graph to link diverse data sources, including high-content imaging, sequencing (WGS, WTS, scRNA, and others), MOS model characteristics, clinical and disease data, as well as public datasets of drug response. The ability to easily mine this data will be critical to opening new avenues for predictive analytics and therapeutic advances.

As an integral member of the Data Science & Bioinformatics Team, you will tackle some of the most interesting biological and technical questions related to functional precision cancer therapeutics. You will design and manage our ETL pipeline of diverse biological data, with an eye for both long-term storage considerations and enabling downstream analysis by data scientists and partners.

You will work closely with experimental scientists, device engineers, and software and operations teams to deliver solutions to further precision oncology. You will be part of a fast-paced early-stage startup and have the opportunity to shape the data strategy and product development.


  • MS in computer science, bioengineering, data science or a related discipline with 3+ years of industry experience
  • Experience with data lakes, knowledge graphs
  • Experience working in an AWS environment
  • Expertise in scripting languages - Python, R, and linux shell environment
  • Bonus: experience developing workflows
  • Knowledge of structured and unstructured databases, including Postgres
  • Experience with data science workflows
  • Bonus: knowledge of machine learning models and-development cycle
  • Experience with NGS data and bioinformatics tools and file formats
  • Bonus: Experience with multi-modal datasets
Employment Type: FULL_TIME

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