Want to hire Data Scientist developer? Then you should know!
How and where is Data Scientist 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
Compare Junior, Middle, Senior, and Expert/Team Lead Data Scientist Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years |
| $60,000 |
Middle | 3-5 years |
| $80,000 |
Senior | 6-8 years |
| $100,000 |
Expert/Team Lead | 9+ years |
| $120,000 |
Quick Facts about Data Scientist.
- 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 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 Talent 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