Data Scientists
Hire top-notch Data Scientists to deliver intelligent and meaningful solutions.
Trusted by leading enterprises and startups
Invest in data science experts to deliver better products and services
Data forms the core of any growing business, and analytics provide knowledge about what is working for a business and what isn’t. The methods, processes, algorithms, and systems used in data sciences help extract knowledge from data and leverage it to make significant decisions. Hire data scientists from 10Pearls to extract and analyse critical data, understand your customers and processes better, and provide meaningful value to your business.
What Makes Our Data Scientists Exceptional
Depth in past work
We enable our clients to hire data scientists experienced in working on complex, end-to-end projects. Their depth in diverse work makes them intuitive, confident, and quick to take up all kinds of Data Sciences projects.
Strong technical acumen
Our data scientists have strong technical abilities, built through extensive experience and regular trainings on languages, technologies and approaches.
Keen problem solving
Mental agility is essential to ensure innovative and optimal solutions. We hire data scientists through live evaluation, algorithmic and skill-specific problems, and ensure ongoing training to keep sharpening their problem-solving skills.
Consistent excellence
Our data scientists deliver consistent excellence in their work and work ethics. They are reliable, responsive, punctual and experts in their domains.
Impressive client communication
We hire data scientists with good communication skills, and train and mentor them to further improve their client engagement skills. Their communication is honest, clear, and proactive.
Strong technical prowess
High-level proficiency in Python
As Python is the most common coding language data scientists, all our engineers are highly skilled in this language. As Python can take various formats of data, it’s much more efficient to import SQL tables into codes through Python, and also create and work with different types of datasets.
Familiarity with Hadoop
Often there are situations when the volume of data exceeds a system’s memory, or the data needs to be sent to different servers; this is where Hadoop comes in. With excellent knowledge of Hadoop, our data scientists efficiently use Hadoop to convey data to various points on a system quickly. They also use Hadoop for data exploration, data filtration, data sampling and summarisation.
Good understanding of SQL database
SQL helps data scientists carry out operations like adding, deleting, and extracting data from any database. It also carries analytical functions and transforms database structures. We hire data scientists who’re proficient in SQL and can efficiently work with short and large amounts of data.
Experience of Apache Spark
Spark is quickly becoming the most popular big data technology around the globe. Similar to Hadoop, it is a big data processing framework. Our data scientists are well versed in Spark, speeding up the execution of complex algorithms, efficiently deal with large amounts of unstructured data, and eliminate data loss.
Hands-on experience with data visualisation
Our data scientists are highly efficient in visualising data with the aid of data visualisation tools such as ggplot, d3.js, and Tableau. These tools help data scientists convert complex results from projects to a format that will be easy to comprehend. Doing so, helps business leaders easily absorb information and stay ahead of the competition.
Well-versed with data wrangling
Our data scientists have hands-on experience with data wrangling – a process where data is prepared for further analysis, and includes transforming and mapping raw data from one form to another. It enables data scientists to focus more on data analysis rather than cleaning, and ultimately leads to a more accurate data-driven decision-making process.
Awards & recognitions
Custom Solutions for Your Unique Needs
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