Data Science online tests

DevSkiller Data Science online tests were formulated by our team of experts to help you test for junior, middle, and senior roles. Our Data Science online tests are perfect for both technical screening and online interviews.

DevSkiller Data Science online tests are powered by the RealLifeTesting™ methodology. This technology allows you to narrow down your search and hire the candidate with the right skill set by simulating real-world work scenarios. 

Python
JUNIOR
Habilidades probadas
Duración
65 minutos como máximo.
Evaluación
Automático
Resumen de la prueba

Preguntas de elección

evaluando el conocimiento de Python

Tarea de programación - Nivel: Fácil

Python | PySpark | ML Logs Transformer - Complete the implementation of the logs transformation pipeline.

Scala
JUNIOR
Habilidades probadas
Duración
66 minutos como máximo.
Evaluación
Automático
Resumen de la prueba

Preguntas de elección

evaluando el conocimiento de Scala

Tarea de programación - Nivel: Fácil

Scala | Spark | ML Logs Transformer - Complete the implementation of the logs' transformation pipeline.

PySpark
JUNIOR
Habilidades probadas
Duración
60 minutos como máximo.
Evaluación
Automático
Resumen de la prueba

Tarea de programación - Nivel: Fácil

Python | PySpark | ML Logs Transformer - Complete the implementation of the logs transformation pipeline.

Python
MIDDLE
Habilidades probadas
Duración
120 minutos como máximo.
Evaluación
Automático
Resumen de la prueba

Preguntas de elección

evaluando el conocimiento de Python

Tarea de programación - Nivel: Medio

Python | Informe de ventas de vehículos - Implementar una aplicación para crear informes basados en el almacén de datos de ventas de vehículos.

Python
MIDDLE
Habilidades probadas
Duración
96 minutos como máximo.
Evaluación
Automático
Resumen de la prueba

Preguntas de elección

evaluando el conocimiento de Python

Tarea de programación - Nivel: Medio

Python | Pandas | Un inicio de entrega de alimentos - Transformar una base de datos de pedidos reduciendo su dimensionalidad y creando una tabla analítica adicional.

Python
JUNIOR
Habilidades probadas
Duración
45 minutos como máximo.
Evaluación
Automático
Resumen de la prueba

Preguntas de elección

evaluando el conocimiento de Python

Tarea de programación - Nivel: Fácil

Python | Creador de la base de clientes - Implementa la aplicación para recuperar los datos de contacto de los clientes de los mensajes de chat.

Python
MIDDLE
Habilidades probadas
Duración
70 minutos como máximo.
Evaluación
Automático
Resumen de la prueba

Preguntas de elección

evaluando el conocimiento de Aprendizaje automático, Python

Tarea de programación - Nivel: Medio

Python | Analizador de ADN | Crear y limpiar cadenas de ADN - Implementar 2 métodos en Python que crean y limpian cadenas de ADN.

Python
JUNIOR
Habilidades probadas
Duración
49 minutos como máximo.
Evaluación
Automático
Resumen de la prueba

Preguntas de elección

evaluando el conocimiento de Aprendizaje automático

Tarea de programación - Nivel: Fácil

Python | Analizador de ADN - Implementar un método en Python que genere un informe estadístico de ADN.

NumPy
MIDDLE
Habilidades probadas
Duración
80 minutos como máximo.
Evaluación
Automático
Resumen de la prueba

Preguntas de elección

evaluando el conocimiento de *SQL

Tarea de programación - Nivel: Medio

Python | NumPy | Procesamiento de datos de medición de aeronaves - Completa aplicación de procesamiento de datos que agrega y comprime flujos de datos utilizando NumPy, Python y Análisis de Datos.

Python
JUNIOR
Habilidades probadas
Duración
54 minutos como máximo.
Evaluación
Automático
Resumen de la prueba

Preguntas de elección

evaluando el conocimiento de SQL

Tarea de programación - Nivel: Fácil

Python | Analizador de ADN - Implementar un método en Python que genere un informe estadístico de ADN.

Python
MIDDLE
Habilidades probadas
Duración
70 minutos como máximo.
Evaluación
Automático
Resumen de la prueba

Preguntas de elección

evaluando el conocimiento de Python

Tarea de programación - Nivel: Medio

Python | NumPy | Procesamiento de datos de medición de aeronaves - Completa aplicación de procesamiento de datos que agrega y comprime flujos de datos utilizando NumPy, Python y Análisis de Datos.

Python
MIDDLE
Habilidades probadas
Duración
80 minutos como máximo.
Evaluación
Automático
Resumen de la prueba

Preguntas de elección

evaluando el conocimiento de Aprendizaje automático, Python

Tarea de programación - Nivel: Medio

Python | Analizador de ADN | Crear y limpiar cadenas de ADN - Implementar 2 métodos en Python que crean y limpian cadenas de ADN.

The right Data Science test to screen Data Scientists

Our Data Science tests are recommended for the following roles

  • Junior data scientist 
  • Middle data scientist
  • Senior data scientist 
  • Machine learning engineer
  • Machine learning scientist
  • Application architect
  • Enterprise architect
  • Data architect
  • Infrastructure architect
  • Data engineer
  • Business intelligence developer
  • Analista de datos

How our Data Science online tests work

Every DevSkiller Data Science online test is powered by the RealLifeTesting™ methodology. This in-house technology works by testing candidates with real-world working scenarios that they would likely encounter on their first day of work. What’s unique about this methodology is that it provides insight into the candidate’s practical coding skills, critical thinking, time management, instead of focusing on academic knowledge.

Características principales

  • Observe the candidate’s undertaking of tests in real-time
  • Remote testing that is both convenient and cost-effective
  • The RealLifeTesting™ methodology offers a greater candidate experience where candidates can use their own IDE, clone to GIT, run unit tests, and access Stack Overflow /GitHub / Google for research
  • Data Science coding questions provide insight into the candidate’s practical skills, not just their academic knowledge
  • Stringent anti-plagiarism tools
  • Results are automatically generated report that non-technical professionals can understand
  • Data Science coding questions for junior through to senior-level positions

Skills covered in DevSkiller Data Science tests

  • Data analysis with Python
  • Ciencia de los datos
  • Python
  • SQL
  • SQLite
  • Modelado dimensional
  • Panda
  • Python 3.x
  • Aprendizaje automático
  • Estructuras de datos
  • NumPy
  • OCR
  • Procesamiento de PDF
  • Extracción de datos   

What to look for in a data scientist

Data Science is used primarily to make both decisions and predictions by making use of predictive causal analytics, prescriptive analytics, and machine learning. A data scientist is responsible for exploratory data analysis, machine learning & advanced algorithms, and data product engineering.  

First and foremost, data scientists need to be critical thinkers in order to objectively analyze the data before forming an opinion or rendering judgment. Data scientists candidates should also be proficient in coding and be comfortable handling varied programming tasks. Although a broad knowledge of programming languages is preferable, Data Science is moving towards Python while R is also prominent. Proficiency in both mathematics and statistics is vital for a career in Data Science. Finally, experience with machine learning, deep learning, and AI is favorable for a data scientist candidate to possess. With the speed at which industries are moving in these areas, a data scientist must stay in front of the curve in research, as well as understanding what technologies to apply and when.

¿Quieres construir tus propias pruebas personalizadas?

Did you know that you can create your own custom tests using the DevSkiller online task wizard? That’s right, creating your own fully customizable tests is easy with DevSkiller. Choose your test duration, number of questions, difficulty, and even upload your own codebase. Finding your next data scientist is easy with DevSkiller and our Data Science coding interview questions. 

Interested in our Data Science coding interview questions but still aren’t sure?

We understand that making recruitment decisions for your company is not easy and should be considered before jumping straight in. If you’re still not sold on DevSkiller Data Science coding interview questions then hear what some of our satisfied customers have to say:

Veriday

Veriday is a customer engagement and financial services technology (fin-tech) company specializing in products and solutions that transform customer experiences. Veriday hires approximately 40 developers annually. Before implementing DevSkiller, Veriday’s hiring process was long, tedious, and costly. The biggest problem they faced was wasting time and resources interviewing unworthy candidates. These candidates only reached the interview stage because the screening process was not covering any technical skills. 

After implementing DevSkiller, Veriday was able to reduce the manual intervention required to send and assess the technical test. They were also able to reduce their tech rejection by 25%. With DevSkiller, Veriday now interviews 30 developers (instead of 50) for every 10 hires they make. 

“We have reduced the tech rejection which is great. We’ve seen a 25% improvement at this point after the implementation of DevSkiller. The platform really helps us to assess the programming skills of candidates and provide a logical approach to the problem-solving skills of IT professionals. DevSkiller saved us a lot of time while we had a ramp up and helped us to invite good quality candidates who have performed well in the test, which eventually improved the selection criteria.” 

Sabu Pappu – Talent Acquisition lead at Veriday

Preguntas frecuentes

¿Qué es RealLifeTestingTM?

The RealLifeTestingTM methodology is the foundation of all DevSkiller online tests, including Data Science coding questions. It goes beyond games and algorithm puzzles to provide a 360-degree view of a developer’s skills. At its core, The RealLifeTestingTM stems from the belief that the best way to evaluate a developer’s development skills is with a work sample test that mirrors the actual development work they’ll do. Our online tests require candidates to build full project apps or add features to existing apps, just like they’ll be doing after being hired. To do this they will need to show their knowledge of coding, in stack resources, resources like Stack Overflow to find solutions and decision making to find the best way to solve the problems they encounter. The results you see show the candidate’s coding skill, decision making, code cleanliness, and problem-solving skills.

How are Data Science online tests evaluated?

The platform gets to work straight away after the candidate completes the tests evaluating the solution. Shortly after, the results are generated into a report that is easy to understand and share across teams and departments. Candidates are evaluated on whether the solution would run (an essential factor in all software development), whether there are any errors in the code, the quality of the code, and how it works in edge cases. There are also robust plagiarism features that show you how similar the results are to previous solutions.

¿Cuánto tiempo se tarda en montar DevSkiller?

You can send your first Data Science online test in as little as 5 minutes. DevSkiller’s extensive library of predefined online tests means that you can start testing your candidates right when you set up your account, no other work required.