Want to hire Data Science developer? Then you should know!
How and where is Data Science used?
- Customer Segmentation: Target Marketing
- Image Recognition: Facial Recognition
- Churn Prediction: Customer Retention
- Sentiment Analysis: Social Media Monitoring
- Recommendation Systems: Personalized Recommendations
- Anomaly Detection: Fraud Detection
- Forecasting: Sales Prediction
- Natural Language Processing: Chatbot Development
- Healthcare Analytics: Disease Diagnosis
- Supply Chain Optimization: Inventory Management
Compare Junior, Middle, Senior, and Expert/Team Lead Data Science Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years |
| 60,000 |
Middle | 2-5 years |
| 80,000 |
Senior | 5-8 years |
| 100,000 |
Expert/Team Lead | 8+ years |
| 120,000 |
Quick Facts about Data Science.
- Created in 1956, Data Science Software Development has a long history.
- It is widely used in projects like predictive analytics and data mining.
- The entry threshold for this technology is having a strong grasp of programming and statistics.
- Python is the most popular related technology in Data Science Software Development.
- In Data Science Software Development, data is like pizza – the more toppings, the better!
TOP Data Science Related Technologies
- Python (Guido van Rossum, 1991)
- R (Ross Ihaka and Robert Gentleman, 1993)
- Java (Sun Microsystems, 1995)
- SQL (Donald D. Chamberlin, Raymond F. Boyce, 1974)
- TensorFlow (Google Brain Team, 2015)
What are top Data Science instruments and tools?
- RapidMiner: A powerful tool for data prep and machine learning, released by RapidMiner in 2006
- Tableau: Known for its exceptional data visualization capabilities, released by Tableau Software in 2003
- Python: A versatile programming language for data analysis, released by Python Software Foundation in 1991
- R: Popular among statisticians for data analysis and visualization, released in 1993
- SAS: Offers advanced analytics solutions, released by SAS Institute in 1966
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