Como o teste de ciência de dados ajuda os recrutadores a exibir candidatos?

O teste on -line da Data Science ajuda os recrutadores e os gerentes de contratação a identificar candidatos qualificados de um conjunto de currículos e ajuda a tomar decisões objetivas de contratação. Reduz a sobrecarga administrativa de entrevistar muitos candidatos e economiza tempo de engenharia caro filtrando candidatos não qualificados. O Teste de Ciência de Dados do Adaface telas candidatos para as habilidades típicas que os recrutadores procuram em um cientista de dados: Especialização com ferramentas R, Python e técnicas de aprendizado de máquina Capacidade de limpar e preparar dados para análise Experiência em criar modelos robustos de aprendizado de máquina Compreensão dos modelos de regressão linear e não linear Experiência com análise de dados exploratórios e análise de regressão Especialização com ferramentas de visualização de dados Os insights gerados a partir desta avaliação podem ser usados pelos recrutadores e gerentes de contratação para identificar os melhores candidatos ao papel. Os recursos anti-tração permitem que você se sinta confortável em realizar avaliações on-line. O teste de ciência de dados é ideal para ajudar os recrutadores a identificar quais candidatos têm habilidades técnicas para se sair bem no trabalho.

Data Science Assessment Test

About the test:

The data science assessment test evaluates a candidate's proficiency in statistics, probability, linear & non-linear regression models and their ability to analyze data and leverage Python/ R to extract insights from the data.

Covered skills:

Data Science
Data Visualization
Analytics with R or Python
Data Manipulation
Regression Analysis

Machine Learning Techniques
Data Science Aptitude
Exploratory Data Analysis
Statistics

See all covered skills

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9 reasons why

Adaface Data Science Assessment Test is the most accurate way to shortlist Data Scientists

Reason #1

Tests for on-the-job skills

O teste on -line da Data Science ajuda os recrutadores e os gerentes de contratação a identificar candidatos qualificados de um conjunto de currículos e ajuda a tomar decisões objetivas de contratação. Reduz a sobrecarga administrativa de entrevistar muitos candidatos e economiza tempo de engenharia caro filtrando candidatos não qualificados.

O Teste de Ciência de Dados do Adaface telas candidatos para as habilidades típicas que os recrutadores procuram em um cientista de dados:

Especialização com ferramentas R, Python e técnicas de aprendizado de máquina
Capacidade de limpar e preparar dados para análise
Experiência em criar modelos robustos de aprendizado de máquina
Compreensão dos modelos de regressão linear e não linear
Experiência com análise de dados exploratórios e análise de regressão
Especialização com ferramentas de visualização de dados

Os insights gerados a partir desta avaliação podem ser usados pelos recrutadores e gerentes de contratação para identificar os melhores candidatos ao papel. Os recursos anti-tração permitem que você se sinta confortável em realizar avaliações on-line. O teste de ciência de dados é ideal para ajudar os recrutadores a identificar quais candidatos têm habilidades técnicas para se sair bem no trabalho.

Reason #2

No trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface ->

Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

These are just a small sample from our library of 10,000+ questions. The actual questions on this Data Science Assessment Test will be non-googleable.

🧐 Question
Medium Amazon electronics product feedback	Solve
Amazon's electronics store division has over the last few months focused on getting customer feedback on their products, and marking them as safe/ unsafe. Their data science team has used decision trees for this. The training set has these features: product ID, data, summary of feedback, detailed feedback and a binary safe/unsafe tag. During training, the data science team dropped any feedback records with missing features. The test set has a few records with missing "detailed feedback" field. What would you recommend? A: Remove the test samples with missing detailed feedback text fields B: Generate synthetic data to fill in missing fields C: Use an algorithm that handles missing data better than decision trees D: Fill in the missing detailed feedback text field with the summary of feedback field.
Easy Fraud detection model Logistic Regression	Solve
Your friend T-Rex is working on a logistic regression model for a bank, for a fraud detection usecase. The accuracy of the model is 98%. T-Rex's manager's concern is that 85% of fraud cases are not being recognized by the model. Which of the following will surely help the model recognize more than 15% of fraud cases?
Medium Rox's decision tree classifier Decision Tree Classifier	Solve
Your data science intern Rox was asked to create a decision tree classifier with 12 input variables. The tree used 7 of the 12 variables, and was 5 levels deep. Few nodes of the tree contain 3 data points. The area under the curve (AUC) is 0.86. As Rox's mentor, what is your interpretation? A. The AUC is high, and the small nodes are all very pure- the model looks accurate. B. The tree might be overfitting- try fitting shallower trees and using an ensemble method. C. The AUC is high, so overall the model is accurate. It might not be well-calibrated, because the small nodes will give poor estimates of probability. D. The tree did not split on all the input variables. We need a larger data set to get a more accurate model.
Hard n-gram generator	Solve
Our newest machine learning developer want to write a function to calculate the n-gram of any text. An N-gram means a sequence of N words. So for example, "black cats" is a 2-gram, "saw black cats" is a 3-gram etc. The 2-gram of the sentence "the big bad wolf fell down" would be [["the", "big"], ["big", "bad"], ["bad", "wolf"], ["wolf", "fell"], ["fell", "down"]]. Can you help them select the correct function for the same?
Medium Green or red balls	Solve
A bag contains 5 red balls, 6 yellow balls and 3 green balls. If two balls are picked at random, what is the probability that both are red or both are green in colour?
Hard Square points and Circle	Solve
What is the probability that two uniformly random points in the square are such that center of the square lies in the circle formed by taking the points as diameter
Easy Frequency distribution	Solve
Convert the following into an ordinary frequency distribution: - 5 users gave less than 3 rating - 12 users gave less than 6 rating - 25 users gave less than 9 ratings - 33 users get less than 12 ratings

	🧐 Question	🔧 Skill
	Medium Amazon electronics product feedback	2 mins Data Science	Solve
Amazon's electronics store division has over the last few months focused on getting customer feedback on their products, and marking them as safe/ unsafe. Their data science team has used decision trees for this. The training set has these features: product ID, data, summary of feedback, detailed feedback and a binary safe/unsafe tag. During training, the data science team dropped any feedback records with missing features. The test set has a few records with missing "detailed feedback" field. What would you recommend? A: Remove the test samples with missing detailed feedback text fields B: Generate synthetic data to fill in missing fields C: Use an algorithm that handles missing data better than decision trees D: Fill in the missing detailed feedback text field with the summary of feedback field.
	Easy Fraud detection model Logistic Regression	2 mins Data Science	Solve
Your friend T-Rex is working on a logistic regression model for a bank, for a fraud detection usecase. The accuracy of the model is 98%. T-Rex's manager's concern is that 85% of fraud cases are not being recognized by the model. Which of the following will surely help the model recognize more than 15% of fraud cases?
	Medium Rox's decision tree classifier Decision Tree Classifier	2 mins Data Science	Solve
Your data science intern Rox was asked to create a decision tree classifier with 12 input variables. The tree used 7 of the 12 variables, and was 5 levels deep. Few nodes of the tree contain 3 data points. The area under the curve (AUC) is 0.86. As Rox's mentor, what is your interpretation? A. The AUC is high, and the small nodes are all very pure- the model looks accurate. B. The tree might be overfitting- try fitting shallower trees and using an ensemble method. C. The AUC is high, so overall the model is accurate. It might not be well-calibrated, because the small nodes will give poor estimates of probability. D. The tree did not split on all the input variables. We need a larger data set to get a more accurate model.
	Hard n-gram generator	2 mins Machine Learning	Solve
Our newest machine learning developer want to write a function to calculate the n-gram of any text. An N-gram means a sequence of N words. So for example, "black cats" is a 2-gram, "saw black cats" is a 3-gram etc. The 2-gram of the sentence "the big bad wolf fell down" would be [["the", "big"], ["big", "bad"], ["bad", "wolf"], ["wolf", "fell"], ["fell", "down"]]. Can you help them select the correct function for the same?
	Medium Green or red balls	2 mins Probability	Solve
A bag contains 5 red balls, 6 yellow balls and 3 green balls. If two balls are picked at random, what is the probability that both are red or both are green in colour?
	Hard Square points and Circle	3 mins Probability	Solve
What is the probability that two uniformly random points in the square are such that center of the square lies in the circle formed by taking the points as diameter
	Easy Frequency distribution	3 mins Statistics	Solve
Convert the following into an ordinary frequency distribution: - 5 users gave less than 3 rating - 12 users gave less than 6 rating - 25 users gave less than 9 ratings - 33 users get less than 12 ratings

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Amazon electronics product feedback	Data Science	Medium	2 mins	Solve
Amazon's electronics store division has over the last few months focused on getting customer feedback on their products, and marking them as safe/ unsafe. Their data science team has used decision trees for this. The training set has these features: product ID, data, summary of feedback, detailed feedback and a binary safe/unsafe tag. During training, the data science team dropped any feedback records with missing features. The test set has a few records with missing "detailed feedback" field. What would you recommend? A: Remove the test samples with missing detailed feedback text fields B: Generate synthetic data to fill in missing fields C: Use an algorithm that handles missing data better than decision trees D: Fill in the missing detailed feedback text field with the summary of feedback field.
	Fraud detection model Logistic Regression	Data Science	Easy	2 mins	Solve
Your friend T-Rex is working on a logistic regression model for a bank, for a fraud detection usecase. The accuracy of the model is 98%. T-Rex's manager's concern is that 85% of fraud cases are not being recognized by the model. Which of the following will surely help the model recognize more than 15% of fraud cases?
	Rox's decision tree classifier Decision Tree Classifier	Data Science	Medium	2 mins	Solve
Your data science intern Rox was asked to create a decision tree classifier with 12 input variables. The tree used 7 of the 12 variables, and was 5 levels deep. Few nodes of the tree contain 3 data points. The area under the curve (AUC) is 0.86. As Rox's mentor, what is your interpretation? A. The AUC is high, and the small nodes are all very pure- the model looks accurate. B. The tree might be overfitting- try fitting shallower trees and using an ensemble method. C. The AUC is high, so overall the model is accurate. It might not be well-calibrated, because the small nodes will give poor estimates of probability. D. The tree did not split on all the input variables. We need a larger data set to get a more accurate model.
	n-gram generator	Machine Learning	Hard	2 mins	Solve
Our newest machine learning developer want to write a function to calculate the n-gram of any text. An N-gram means a sequence of N words. So for example, "black cats" is a 2-gram, "saw black cats" is a 3-gram etc. The 2-gram of the sentence "the big bad wolf fell down" would be [["the", "big"], ["big", "bad"], ["bad", "wolf"], ["wolf", "fell"], ["fell", "down"]]. Can you help them select the correct function for the same?
	Green or red balls	Probability	Medium	2 mins	Solve
A bag contains 5 red balls, 6 yellow balls and 3 green balls. If two balls are picked at random, what is the probability that both are red or both are green in colour?
	Square points and Circle	Probability	Hard	3 mins	Solve
What is the probability that two uniformly random points in the square are such that center of the square lies in the circle formed by taking the points as diameter
	Frequency distribution	Statistics	Easy	3 mins	Solve
Convert the following into an ordinary frequency distribution: - 5 users gave less than 3 rating - 12 users gave less than 6 rating - 25 users gave less than 9 ratings - 33 users get less than 12 ratings

Reason #4

1200+ customers in 75 countries

With Adaface, we were able to optimise our initial screening process by upwards of 75%, freeing up precious time for both hiring managers and our talent acquisition team alike!

Brandon Lee, Head of People, Love, Bonito

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Data Science Assessment Test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Data Science Assessment Test from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

Reason #7

Detailed scorecards & comparative results

Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

Reason #9

Advanced Proctoring

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What roles can I use the Data Science Assessment Test for?

Data Scientist
Data Science Engineer
Data Analyst
Machine Learning Engineer
Statistician

What topics are covered in the Data Science Assessment Test?

Aprendizado supervisionado

Aprendizado não supervisionado

Matriz de confusão

Gradiente descendente

Estatisticas

Precisão

Classificação

filtragem colaborativa

Lembrar

Seleção de recursos

Probabilidade

filtragem colaborativa

Vizinho mais parecido com K (K-NN)

Aprendizado de máquina

Baías ingénuas

Mineração de dados

autovalores

Árvores de classificação e regressão (carrinho)

Sistemas de recomendação

Valor p

Visualização de dados

Redes neurais

Numpy

Regressão linear

Roc

Distração exponencial

Árvores de decisão

Pandas

Limite de decisão

Distribuição normal

Ajuste de curva

Distribuição binomial

Scipy

Teorema de Baye

Distribuição de veneno

Scikit Learn

Distribuição de Cauchy

Multicolinearidade

Outliers

Métodos de redução de dimensão

análise multivariada

Álgebra Linear

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The hiring managers felt that through the technical questions that they asked during the panel interviews, they were able to tell which candidates had better scores, and differentiated with those who did not score as well. They are highly satisfied with the quality of candidates shortlisted with the Adaface screening.

85%

reduction in screening time

View Full Case Study

FAQs

Que tipo de perguntas o teste on -line de ciência de dados contém?

O teste de ciência de dados avalia o nível de habilidade no trabalho de candidatos com questões baseadas em cenários, com foco na capacidade do candidato de:

Limpe dados e procure anomalias
Use dados de trem/teste e validação cruzada de K-Fold para criar modelos robustos
Faça previsões usando regressão linear, regressão polinomial e regressão multivariada
Classifique dados usando cluster de K-Means, Máquinas de Vector de Suporte (SVM), KNN, árvores de decisão, Bayes ingênuos e PCA
Leia uma matriz de confusão
Entenda a troca de preconceitos/variância e excesso de ajuste
Use métodos de eliminação reversa, seleção para a frente e eliminação bidirecional para criar modelos estatísticos
transformar variáveis independentes e derivar novas variáveis independentes para fins de modelagem
Verifique a multicolinearidade
entender e prevenir a deterioração do modelo

Como o teste será personalizado para cientistas de dados seniores?

Além dos tópicos mencionados acima, os testes para cientistas de dados seniores também incluem perguntas sobre tópicos avançados como:

Manipulação avançada de dados para gerar insights de conjuntos de dados grandes e não estruturados
Engenharia de recursos
ajuste hiperparâmetro
Aprendizagem de reforço
Redução de dimensionalidade
análise estatística avançada

O teste de ciência de dados avalia a aptidão de ciência de dados ou tecnologias específicas?

A versão pronta para uso deste teste se concentra na aptidão de ciência de dados-probabilidade, estatística e aprendizado de máquina. Se você deseja testar tecnologias específicas, pode solicitar uma versão personalizada deste teste.

Posso combinar várias habilidades em uma avaliação personalizada?

Sim absolutamente. As avaliações personalizadas são configuradas com base na descrição do seu trabalho e incluirão perguntas sobre todas as habilidades obrigatórias que você especificar.

Você tem algum recurso anti-trapaça ou procurador?

Temos os seguintes recursos anti-trapaça:

Perguntas não-goleadas
IP Proctoring
Web Proctoring
Proctoring da webcam
Detecção de plágio
navegador seguro

Leia mais sobre os Recursos de Proctoring.

Como interpreto as pontuações dos testes?

O principal a ter em mente é que uma avaliação é uma ferramenta de eliminação, não uma ferramenta de seleção. Uma avaliação de habilidades é otimizada para ajudá -lo a eliminar os candidatos que não são tecnicamente qualificados para o papel, não é otimizado para ajudá -lo a encontrar o melhor candidato para o papel. Portanto, a maneira ideal de usar uma avaliação é decidir uma pontuação limite (normalmente 55%, ajudamos você a comparar) e convidar todos os candidatos que pontuam acima do limiar para as próximas rodadas da entrevista.

Para que nível de experiência posso usar este teste?

Cada avaliação do Adaface é personalizada para a descrição do seu trabalho/ persona do candidato ideal (nossos especialistas no assunto escolherão as perguntas certas para sua avaliação de nossa biblioteca de mais de 10000 perguntas). Esta avaliação pode ser personalizada para qualquer nível de experiência.

Todo candidato recebe as mesmas perguntas?

Sim, facilita muito a comparação de candidatos. As opções para perguntas do MCQ e a ordem das perguntas são randomizadas. Recursos anti-traking/proctoring no local. Em nosso plano corporativo, também temos a opção de criar várias versões da mesma avaliação com questões de níveis de dificuldade semelhantes.

Eu sou um candidato. Posso tentar um teste de prática?

Não. Infelizmente, não apoiamos os testes práticos no momento. No entanto, você pode usar nossas perguntas de amostra para prática.

Qual é o custo de usar este teste?

Você pode conferir nossos planos de preços.

Posso obter uma avaliação gratuita?

Sim, você pode se inscrever gratuitamente e visualizar este teste.

Acabei de me mudar para um plano pago. Como posso solicitar uma avaliação personalizada?

Aqui está um guia rápido sobre Como solicitar uma avaliação personalizada no Adaface.

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Data Science Assessment Test

Adaface Data Science Assessment Test is the most accurate way to shortlist Data Scientists

Tests for on-the-job skills

O Teste de Ciência de Dados do Adaface telas candidatos para as habilidades típicas que os recrutadores procuram em um cientista de dados:

No trick questions

Non-googleable questions

1200+ customers in 75 countries

Designed for elimination, not selection

1 click candidate invites

Detailed scorecards & comparative results

High completion rate

Advanced Proctoring

What roles can I use the Data Science Assessment Test for?

What topics are covered in the Data Science Assessment Test?

FAQs

Que tipo de perguntas o teste on -line de ciência de dados contém?

Como o teste será personalizado para cientistas de dados seniores?

O teste de ciência de dados avalia a aptidão de ciência de dados ou tecnologias específicas?

Posso combinar várias habilidades em uma avaliação personalizada?

Você tem algum recurso anti-trapaça ou procurador?

Como interpreto as pontuações dos testes?

Para que nível de experiência posso usar este teste?

Todo candidato recebe as mesmas perguntas?

Eu sou um candidato. Posso tentar um teste de prática?

Qual é o custo de usar este teste?

Posso obter uma avaliação gratuita?

Acabei de me mudar para um plano pago. Como posso solicitar uma avaliação personalizada?

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