Want to hire Data Scientists? Then you should know!
How and where is Data Science used?
- Data Analysis: Analyzing customer behavior
- Image Recognition: Identifying objects in images
- Natural Language Processing: Sentiment analysis
- Forecasting: Predicting sales trends
- Recommendation Systems: Suggesting products to users
- Anomaly Detection: Identifying fraudulent activity
- Healthcare Analytics: Predicting patient outcomes
- Supply Chain Optimization: Improving inventory management
- Social Media Analysis: Understanding user preferences
- Fraud Detection: Detecting unusual patterns in data
Quick Facts about Data Scientists.
- Data Scientist Software Development was born in the year 1996.
- The most popular project types involve data analysis and machine learning models.
- The entry threshold for this technology is having a strong understanding of statistics and programming.
- One of the most popular related technologies is Big Data technologies like Hadoop.
- Fun Fact: Data Scientists spend 80% of their time cleaning and preparing data.
TOP Data Scientist Related Technologies
- Python (Guido van Rossum, 1991)
- R (Ross Ihaka and Robert Gentleman, 1993)
- SQL (Donald D. Chamberlin and Raymond F. Boyce, 1970)
- TensorFlow (Google Brain Team, 2015)
- PyTorch (Facebook AI Research Lab, 2016)
What are the top Data Scientist instruments and tools?
- R: The statistical programming language with a release date back in 1993
- Python: A versatile language introduced in 1991
- TensorFlow: Open-source machine learning library by Google, started in 2015
- Tableau: Data visualization tool from 2003
- Apache Spark: Fast big data processing since 2014
- Scikit-learn: Machine learning library for Python from 2007
- SQL: Structured Query Language has been around since the 1970s
- Hadoop: Distributed storage and processing framework launched in 2006
- Jupyter: Interactive computing platform established in 2014
Talk to Our Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.

Maria Lapko
Global Partnership Manager