Best Data Science Startups to Work for in 2024

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Marta Teneva 13 Mar 2024 10 min read

Are you starting a data scientist career? Explore leading data science companies to plan your next step. Research is critical given the vast array of data scientist jobs, but remember to consider all potential opportunities.

In your search, you might frequently encounter certain big names. Yet, data science startups tend to be overlooked. Although joining established companies offers a solid start, working for big corporations often equates to being a small cog in a large machine.

What about making a real difference or pioneering new paths? This is where startups come into the picture. In this article, we’ve provided you with a list of some of the best data science startups to work for in 2024. However, if you're contemplating why you should consider a startup for your next career move, here are a few reasons to expand your search for data science jobs this year.

Table of Contents

 

Why Work for a Data Science Startup?

Innovation and Agility: Data science startups are typically at the cutting edge of technology, adopting the latest methodologies in the field. These data-driven startups are fast-paced, enabling swift decision-making and adaptation to emerging trends—an exciting prospect for anyone keen on working on groundbreaking projects.

Impact and Visibility: In a startup, your work can significantly influence the company's trajectory and success. Such impact is less common in larger organizations, where individual contributions often get lost in expansive, complex projects.

Versatility and Growth: Data science startups often require versatility. From programming to project management, you'll wear many hats, adapting to various roles and responsibilities. This accelerates professional growth and skills development, fostering a culture of continuous learning—a priceless asset in the ever-evolving world of data science.

Culture and Community: Startups often have a lively, entrepreneurial culture that fosters creativity, innovation, and collaboration. Being part of a smaller team enables you to build strong professional relationships and share a sense of camaraderie and purpose.

Opportunity to Shape the Future: Joining a tech startup at its foundational stages offers a unique chance to impact its growth, culture, and products. Seeing your work directly influence the company's path is an enriching experience.

While startups can carry more risks than established data science companies, they offer a stimulating, dynamic environment where a data scientist can flourish, innovate, and significantly influence the company's future.

For this article, we've reviewed numerous websites—including builtin, Forbes, Seedtable, and KnowledgeHut—to find the best startups to work for in 2024. We've selected a list of the fastest-growing data science startups based on growth, reputation, interest in the topic, and personal benefits. We also only included startups that are currently hiring.

What Defines a Startup?

Before diving into the list, let's clarify what we mean by “best data science startups.” The concept of a "startup" can vary, with companies often classified differently in various rankings. For a precise understanding, our definition of startups for this list is based on their size and age.

For our purposes, we've included only smaller data science companies with a maximum of 200 employees. On other websites, companies with up to 1,000 employees are categorized as startups. But we prefer to keep it small to maintain the close-knit community feeling we previously discussed.

We've narrowed our search to startups founded at least 10 years ago, capturing a diverse mix of companies. This range includes firms that grew steadily over the years and those that achieved rapid success early on, ensuring a broad spectrum of data science firms.

We've curated a top list of startups for your data scientist job search in 2024. Discover the best startups to work for, their locations, and why they're ideal choices.

Best Data Science Startups to Work for in 2024

Startup Name

Funding Amount ($)

Years Active

PureSpectrum

61.6M

9

Striveworks

32.3M

6

Imply

215.3M

9

MyTraffic

46.7M

8

Ometria

81.8M

11

Metricool

5.4M

9

Solidus Labs

83.5M

6

DataOps.live

27.8M

4

Hex

101.5M

5

MindsDB

54.4M

7

 

 

PureSpectrum

PureSpectrum Logo

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What they do:

PureSpectrum is revolutionizing market research by offering a platform simplifying survey creation, distribution, and analysis. It automates the sampling, fielding, and data aggregation processes—providing businesses with real-time insights across various industries.

Where they are located:

Based in Westlake Village, California, this data analytics startup has expanded globally, boasting offices in the UK, Singapore, Australia, India, Germany, Brazil, Romania, and France.

Why work here:

  • PureSpectrum was awarded MR Supplier of the Year at the 2021 Marketing Research and Insight Excellence Awards and has been included in Deloitte’s Fast 500 as one of the fastest-growing companies in North America.
  • As an employee at this data science company, you'll be at the forefront of revolutionizing market research with data-driven tools. PureSpectrum allows data science professionals to shape a platform influencing business decisions across sectors.

 

Striveworks

Striveworks Logo

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What they do:

Striveworks democratizes data science through its platform, Chariot, enabling efficient development, deployment, and management of machine learning models. Their solutions simplify AI operationalization—facilitating businesses’ leverage of AI technologies.

Where they are located:

This AI startup has its roots in Austin, Texas, a booming tech hub known for its innovative culture. They also offer remote opportunities—so keep an eye out!

Why work here:

  • As a Striveworks employee, you'll be part of a mission to democratize advanced AI.
  • The dynamic, supportive environment fosters learning and innovation—making it an ideal place for those looking to grow in their data scientist career.
  • Like PureSpectrum, Striveworks was also featured in Deloitte’s Fast 500 for 2023.

Imply

Imply Logo

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What they do:

Imply is all about big data. Their platform allows businesses to process, store, and examine vast volumes of streaming data in real time using an Apache Druid-based database—delivering insights across diverse industries, including e-commerce and finance.

Where they are located:

This data scientist startup is based in the tech-centric San Francisco Bay Area but offers remote US, India, and Israel positions.

Why work here:

  • At Imply, you'll work with the latest technologies in real-time analytics and learn directly from the company's founders, the creators of the Apache Druid database.
  • Your work will impact customers like Twitter, Salesforce, Atlassian, Reddit, and Intercontinental Exchange.
  • Imply's collaborative culture and dedication to innovation make it an attractive option for those keen to progress in data analytics.
  • This one might suit you if you’re looking for big data startups.

MyTraffic

MyTraffic Logo

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What they do:

MyTraffic uses advanced analytics to give businesses and public authorities insights into human mobility patterns. Their platform aids in understanding foot traffic, optimizing locations, and making informed strategic decisions to influence urban planning and retail strategies.

Where they are located:

Based in Paris, this data-driven startup also has offices in London, Madrid, Berlin, and Milan—giving you many European choices.

Why work here:

  • MyTraffic has established its credibility by partnering with key retail companies like Lidl, H&M, and Hugo Boss.
  • The opportunity to work with real-world data that influences city planning and business strategies sets MyTraffic apart.
  • If you're intrigued by how data influences our surroundings, MyTraffic might be one of the ideal data science companies for you.

Ometria

Ometria Logo

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What they do:

Ometria empowers retailers with AI. Their platform allows retailers to deliver personalized marketing experiences—enhancing customer engagement and boosting CRM revenue. Through customer data analysis, they help businesses craft targeted marketing campaigns.

Where they are located:

Ometria is located in London but is also currently hiring in Portugal.

Why work here:

  • If you want to work for a data science startup that allows you to see the tangible impact of your work on retail businesses and consumer experiences, Ometria is the place to be.
  • They work with such brands as Hotel Chocolat and Steve Madden.
  • The company promotes a culture of innovation and data-driven decision-making—rendering it an attractive option for professionals in the retail and marketing sectors.

Metricool

Metricool Logo

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What they do:

Metricool is one of the best data science startups for digital marketers. Its all-in-one analytics, planning, and management tool integrates social media, advertising, and web analytics into a single platform.

Where they are located:

Based in Madrid, Spain, Metricool offers global opportunities by hiring remotely.

Why work here:

  • At Metricool, you'll have the unique opportunity to influence digital marketing strategies worldwide.
  • This Swiss Army Knife of social media is already working with major brands like Costco, Xiaomi, Adidas, Starbucks, and more.
  • If you’re interested in influencing how brands interact with their online audiences, this could be the best data science company for you.

Solidus Labs

Solidus Labs Logo

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What they do:

Solidus Labs is forefront of crypto-native market surveillance and risk monitoring solutions. Their platform detects, investigates, and prevents market manipulation in digital asset markets—offering a comprehensive approach to crypto market integrity.

Where they are located:

This data science company has offices in New York City, Tel Aviv, London, and Singapore—placing them in some of the world's major financial and tech hubs.

Why work here:

  • Working at Solidus Labs, you’ll be at the crossroads of finance and technology, specifically in the emerging field of cryptocurrencies.
  • You'll play a crucial role in shaping the future of finance.
  • The New York State Department of Financial Services recognized this data science agency for impacting the industry the most.

DataOps.live

DataOps.live Logo

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What they do:

DataOps.live is transforming data management and orchestration in the cloud. Their platform allows businesses to implement DataOps methodologies, improve data analytics, and accelerate data-driven outcomes.

Where they are located:

DataOps.live is based in London and is one of many tech startups in this global financial center—a hotspot for tech innovation.

Why work here:

  • At DataOps.live, you'll play a pivotal role in pioneering the DataOps movement and influencing the development of innovative data management solutions.
  • It's the perfect environment for individuals who want to start their career in a data science company but are also passionate about enhancing efficiency and innovation in data management.
  • DataOps.live operates entirely remotely, allowing you to grow with the company without needing to relocate.

Hex

Hex Tech Logo

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What they do:

Hex is a collaborative data workspace that allows teams to analyze, visualize, and share data insights. By creating collaborative workspaces, Hex redefines how organizations share and understand data insights.

Where they are located:

Headquartered in San Francisco, Hex operates in a remote-first environment within US time zones.

Why work here:

  • If you're passionate about data storytelling and collaboration, this data science startup could be an excellent fit for you.
  • Notable companies like Brex, Loom, and Notion use this platform.
  • At Hex, you can contribute to a product that promotes transparency and data literacy.
  • Hex operates entirely remotely, allowing you to be a part of a diverse, global team.

MindsDB

MindsDB Logo

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What they do:

MindsDB simplifies machine learning by enabling direct building and deploying predictive models from databases, democratizing the technology.

Where they are located:

This data science company operates remotely, but its headquarters are in the Bay Area, California.

Why work here:

  • MindsDB—recognized as one of Gartner's Cool Vendors in Data-Centric AI for 2022—is making waves in the industry.
  • You'll be making a significant contribution to a product that enables companies to leverage the power of AI without the need for deep technical expertise.
  • The exciting opportunity to work on cutting-edge AI technology in a flexible, remote-first setting creates a truly unique and engaging work environment.

Working for Top Startups in 2024: Where to Start

Now that we’ve explored the exciting opportunities PureSpectrum, Striveworks, Imply, and the other dynamic startup companies offer for 2024, you're well-equipped to navigate your search for data scientist jobs with a more informed perspective.

Some may seek the prestige of a corner office in a large corporation, while others prefer the unique challenges and experiences of startup life.  Each person's career journey is unique.

This guide to the best data science startups to work for in 2024 aims to broaden your perspective and introduce a more extensive array of opportunities in data science.

Remember, there's no single 'correct' way to launch your career in this field. Exploring less conventional paths could help you find precisely what you seek. Ultimately, what matters most is your satisfaction and comfort with your chosen path.

Begin your data science career journey and start learning now—sign up for free with us today here.

FAQs

What does a data science job entail?
Data scientists turn raw data into valuable insights that help companies make smarter decisions. They gather, analyze, and interpret large data sets using statistical tools, machine learning techniques, and data visualization to uncover trends, predict outcomes, and provide actionable insights.
As you see in the descriptions of the data science startups above—whether it's improving product recommendations, optimizing supply chains, or forecasting market trends—the data science career plays a pivotal role in driving business strategy.

 

Is data science a good career?
Absolutely! Data science is not just a buzzword. Recent research has shown it's in high demand across various industries. With the explosion of data in today's digital age, companies are constantly seeking skilled professionals to help them make sense of their data and leverage it for competitive advantage.
A data science career presents challenging problems, continuous learning opportunities, and the opportunity to make a substantial impact—particularly in a data-driven startup—while ensuring constant evolution and excitement.

 

What can I do for a career in data science?
A career in data science encompasses various roles, such as data analyst, data engineer, machine learning engineer, and data visualization expert. Tasks may include:
• Cleaning and processing data
• Developing algorithms for data analysis
• Constructing predictive models
• Crafting dashboards to present insights Industries like finance, healthcare, tech, retail, and many more are hiring data scientists to solve their most pressing challenges.
But, as we mentioned above, working in a data science startup provides the opportunity to explore various roles within the company. So, if you're interested in lifelong learning, one of these positions might be perfect for you.

 

Is data science well-paid?
Yes, data science is generally considered a well-paying field. The high demand for data science skills and the significant value data scientists bring to organizations make salaries quite competitive.
While the exact figures can vary based on your location, experience, and the specific industry, research into this year’s data science market has shown that data science companies often offer salaries that are above average compared to other professions.

 

Do startups need data science?
Startups—particularly those in the tech sector—often rely heavily on data science. Even at early stages, leveraging data can provide startups with critical insights that drive product development, user experience, and business strategy.
For startups, making data-driven decisions can be the key to rapid growth, efficient resource allocation, and a solid competitive edge in the market.

 

Can I start data science from scratch?
Definitely! Many resources are available for those new to data science, including online courses, bootcamps, and tutorials that cover the fundamentals of statistics, programming, and machine learning. While a background in mathematics or computer science is beneficial, it's not a strict requirement.
With dedication, practice, and a willingness to learn, anyone can start a career in data science from scratch. When you feel ready, check out the data science companies on this list to kick off your job search.

 

Is the data science boom over?
Not at all! While it's true that data science has become a well-established field, recent research has shown that the demand for data science skills continues to grow. The increasing amount of data generated daily and the ongoing need for businesses to derive value from this data mean that data science remains a crucial investment area for companies.
Even with the growth of AI, as long as data continues to play a vital role in business decision-making, the relevance and demand for data science will persist.
You can get an idea of what positions companies seek by looking at the job listings from these data science startups.

 

 

Marta Teneva

Senior Copywriter

Marta is a former Senior Copywriter at 365 Data Science. Digging into her own experience of transitioning into a new field and all the uncertainty that initially goes with it, she creates informative and fun to read content that helps our readers expand their career options in data science and achieve the goals they have set for themselves.

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