Data Science no longer needs to be explicitly mentioned as a top domain around the world. In developing countries, it can still be called a “fast – growing” field. In developed countries, it crossed that milestone long back and has firmly established itself as “The” domain to be in. The year 2002 is considered as the beginning of the “Digital Age” in many aspects, as it was then that volume of digitally stored data overtook the traditionally stored data for the first time. In the past decade, a number of technologies have been developed solely keeping data science in mind. As a result, on one hand we continue to generate data at unprecedented speeds and on the other, we are constantly building and improving tools such as SQL, Tableau, Hadoop, Pig, Hive, R and many others to extract sense out of data.
It is no surprise that data science has fast emerged as a challenging and rewarding career option and this trend shows no signs of slowing down any time soon, given that the Internet of Things (IoT) is all set to take off. Harvard Business Review has also acknowledged the emergence of the Data Scientist role by dubbing it “the sexiest job of 21 st century” a couple of years ago. In this article we have profiled some of the best data science companies to work for based on a number of parameters – Glassdoor ratings playing a pivotal role in it. To strike a balance between eliminating bias as well as keeping the list as realistic as possible, companies with less than 10 reviews were excluded from the list. So, there is a very good chance that a disruptive start-up deserves a mention here, but it hasn’t been mentioned in the list.
1. InsightSquared (4.6/5)
This is one of the few start-ups that puts the old saying “There are no free lunches” to rest – literally. Even though 14 reviews might be too few, the fact that all reviewers approve of the CEO and 92% of them would recommend the company to a friend cannot be ignored. InsightSquared provides Business Analytics services with a fast turnaround time. They do all the data crunching your business might need in the fields of Sales, Marketing, Finance and Support to enhance and redeem your business potential. InsightSquared pulls in data from different sources and does a 360 degree analysis on the data to focus on the core elements required for the business by eliminating the noise in data.
In a short span of 4 years since its inception in 2011, InsightSquared has reached over 20,000 active users around the globe. It has a 128 strong team of motivated engineers, product managers, marketers, designers, sales geniuses, customer support engineers and entrepreneurs to deliver simple yet comprehensive business analytics solutions.
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Start – ups are believed to break free from the norm and offer differentiated product and/or service experience. Within 2 years since of unveiling its first interactive, self-service Adaptive Data Preparation solution for business analysts, data scientists, developers, data curators and IT teams - Paxata is fast becoming the industry standard. It eliminates the traditional shackles of ETL (Extract – Transform – Load) processes and accelerates the time to analytics for its clients. Its clientele has rapidly grown to over 45, ranging from mid – sized online retailers to Financial Institutions and Government agencies. Paxata’s core objective is to make data a strategic asset for its clients. Paxata’s excel like application makes it easier for companies to adapt to new data analysis software by eliminating coding, scripting and sampling.
Standing at the borderline case of 10 reviews, it just about made it to our list, as we simply could not ignore its perfect rating of 5. 100% reviewers approve of the CEO as well as recommend it to a friend. Employees at Paxata seem really happy and genuinely believe that what they are doing is ahead of its time.
When an emerging technology company boasts of big names like Tim O’Reilly, Michael Bostock (NY Times visualization specialist), Jeff Hammerbacher (Cloudera co-founder and chief scientist) and MIT professors like Sam Madden on its board of advisors, it is hardly a surprise that it made it to this list. There is more to this October 2012 founded company than big names and over $15 million funding in the initial two rounds.
Trifacta focuses on simplifying the way data professionals work with Big Data. Going beyond number crunching, the company focuses on combining intuition with computing power to provide improved visibility through massive chunks of data generated by contemporary businesses. Trifacta’s Predictive Interaction eliminates the need to write low level code to interact with the content in the data sets. It provides the user with a visual model that allows them to make transformations in the data as per the recommendations.
Within the company, the mood seems to be reflective of an ambitious start-up, as employees view challenges as opportunities and the CEO, Adam Wilson, enjoys the approval of 100% employees who gave feedback.
Cloudera was formed in 2008 when engineers from Google, Yahoo and Facebook and an executive from Oracle joined hands. The Palo Alto, California headquartered company provides ground-breaking enhancements within the Hadoop platform through its products and professional services. Through open source Hadoop distribution, CDH (Cloudera Distribution Including Apache Hadoop) provides augmented data processing solutions for large datasets as well as other enterprise level big data solutions that require reliability, security, high uptime and seamless integration with other hardware and software systems.
It boasts of an overall feedback score of 4.6/5 on Glassdoor which is above average for any company having over 80 reviews. The CEO, Tom Reilly enjoys the approval of 95% (average of 54 ratings) which reflects a healthy internal environment.
Birst was founded by Brad Peters and Paul Staelin in 2004. They utilized their experience as product leaders of Oracle Business Intelligence (OBIEE, formerly Sibel Analytics) to build Birst ground up. A decade ago, they had the vision to foresee a problem that businesses around the world would see much later – deep fragmentation of then present day data analytics solutions which required excessive configuration and long time to market.
The company has come a long way since then, providing a unique 2-Tier Business Intelligence which unifies and corrects enterprise wide data, irrespective of the kind of systems they are generated and/or stored in. Its employees have also given the company a thumbs up, with an average rating of 4.8 out of 5 (41 reviews). Work culture and offered salary range also seem befitting of a start-up, taking care of all the basic needs such as flexible timings, challenging work culture, readiness to embrace new technologies and above par compensation packages.
Glassdoor snapshot for the company (included above) indeed presents a company in a good light for data science job seekers.
A company introducing itself as “Problem Solvers. Big Data Pioneers. Data Nerds.” immediately draws attention – more so if its Glassdoor rating is 4.7. Well, that is what Sumo Logic is.
Founded in April 2010, Sumo Logic is headquartered at Redwood City, California. The Accel Partners, Institutional Venture Partners and Sequoia Capital funded company has recently completed Series E funding to take the total tally to $160.5 million.
They claim to have analysed over 25 petabytes of data and delivered millions of insights on the data. Sumo Logic’s highly resilient multi-tenant architecture can take in any volume of data and scale up as per the requirements and allows real time decision making processes.
Employee feedback score of Sumo Logic is comparable to any other company and is reflective of the exciting, futuristic and challenging career path it offers in a synergy filled environment.
Gainsight has introduced a pioneering concept of Customer Success Management which has taken it places. In the modern, hypercompetitive, growth target driven market, retention of acquired customers and nurturing them has almost taken a back seat. This is where Gainsight comes in with its enterprise wide solution of leveraging customer intelligence and automation to reduce customer churn and pin point upselling opportunities.
Talk of any emerging/futuristic technology and Google won’t be lagging behind. For data analytics, it has its own set of tools that can be embedded in a website’s code to collect a number of parameters related to the traffic it receives. This data is then used to prepare customized reports for further insights. Google Analytics Academy is a rich resource of obtaining free of cost, on demand, online training for Google Analytics tools and techniques.
Though Ayasdi was formally formed only in late 2008, its roots go back to the 1970s when Gunnar Carlsoon, Harlan Sexton and Benjamin Mann met at Stanford as mathematics PhD students. They conceptualized computational topology and Topological Data Analysis (TDA) which is the foundation of Ayasdi as it stands today. It has since provided many ground breaking solutions across industries – such as Ayasdi Cure (biomarker identification, drug target discovery and precision medicine) and Ayasdi Care to introduce automation into the complex field of chemical pathways.
Its clientele is decorated with industry leading organizations across domains such as GE, Citi, Siemens, Credit Suisse, Lockheed Martin, USDA, Johnson & Johnson and many more. Despite its Glassdoor rating not being the best, the overall mood among employees seems to be a positive one.
What makes Visier visible among a host of other similar sounding, number crunching start-ups is its concentration of providing HR data unification solutions. It delivers workforce analytics over the cloud in a relatively short time, which saves a lot of time. Workforce optimization and predictive analytics are two key inputs to answer resource planning related questions and with each passing day, more and more companies are adopting HR datafication solutions.
We have only list the top 10 companies for Data Science careers in the US, to the best of our knowledge. We would love to hear from you if you think we should mention a company in this list and we have missed out on it.