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?
- What Defines a Startup?
- Best Data Science Startups to Work for in 2024
- Working for Top Startups in 2024: Where to Start
- FAQs
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
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
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
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
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
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
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
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
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
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
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.
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