データサイエンスオンラインテスト

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. 

パイソン
ジュニア
テストされたスキル
持続時間
65 分以内
評価
自動
テストの概要

選択問題

知識評価 パイソン

プログラミングタスク - レベル。簡単

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

スカラ
ジュニア
テストされたスキル
持続時間
66 分以内
評価
自動
テストの概要

選択問題

知識評価 スカラ

プログラミングタスク - レベル。簡単

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

PySpark
ジュニア
テストされたスキル
持続時間
60 分以内
評価
自動
テストの概要

プログラミングタスク - レベル。簡単

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

パイソン
ミドル
テストされたスキル
持続時間
120 分以内
評価
自動
テストの概要

選択問題

知識評価 パイソン

プログラミングタスク - レベル。中程度

Python|車両販売レポート - 車両販売データウェアハウスに基づいてレポートを作成するアプリケーションを実装します。

パイソン
ミドル
テストされたスキル
持続時間
96 分以内
評価
自動
テストの概要

選択問題

知識評価 パイソン

プログラミングタスク - レベル。中程度

Python|Pandas|フードデリバリーのスタートアップ - 注文のデータベースを次元を下げて分析テーブルを追加作成することで変換します。

パイソン
ジュニア
テストされたスキル
持続時間
45 分以内
評価
自動
テストの概要

選択問題

知識評価 パイソン

プログラミングタスク - レベル。簡単

Python | Client Base Creator - チャットメッセージから顧客の連絡先データを取得するアプリケーションを実装します。

パイソン
ミドル
テストされたスキル
持続時間
70 分以内
評価
自動
テストの概要

選択問題

知識評価 機械学習, パイソン

プログラミングタスク - レベル。中程度

Python|DNA Analyzer|DNA鎖を作成してきれいにする - DNA鎖を作成してきれいにする2つのメソッドをPythonで実装します。

パイソン
ジュニア
テストされたスキル
持続時間
49 分以内
評価
自動
テストの概要

選択問題

知識評価 機械学習

プログラミングタスク - レベル。簡単

Python | DNA Analyzer - DNA統計レポートを生成するメソッドを Python で実装したもの。

ナムパイ
ミドル
テストされたスキル
持続時間
80 分以内
評価
自動
テストの概要

選択問題

の知識を評価するエスエッチエル

プログラミングタスク - レベル。中程度

Python|NumPy|航空機計測データ処理 - NumPy、Python、データ解析を用いてデータストリームを集約・圧縮する完全データ処理アプリケーション。

パイソン
ジュニア
テストされたスキル
持続時間
54 分以内
評価
自動
テストの概要

選択問題

知識評価 エスエッチエル

プログラミングタスク - レベル。簡単

Python | DNA Analyzer - DNA統計レポートを生成するメソッドを Python で実装したもの。

パイソン
ミドル
テストされたスキル
持続時間
70 分以内
評価
自動
テストの概要

選択問題

知識評価 パイソン

プログラミングタスク - レベル。中程度

Python|NumPy|航空機計測データ処理 - NumPy、Python、データ解析を用いてデータストリームを集約・圧縮する完全データ処理アプリケーション。

パイソン
ミドル
テストされたスキル
持続時間
80 分以内
評価
自動
テストの概要

選択問題

知識評価 機械学習, パイソン

プログラミングタスク - レベル。中程度

Python|DNA Analyzer|DNA鎖を作成してきれいにする - DNA鎖を作成してきれいにする2つのメソッドをPythonで実装します。

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
  • データアナリスト

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.

主な特徴

  • 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
  • データサイエンス
  • パイソン
  • エスエッチエル
  • エスエスキューライト
  • 次元モデリング
  • Panda
  • パイソン3.x
  • 機械学習
  • データ構造
  • ナムパイ
  • オーシーアール
  • ピーディーエフしょり
  • データ抽出   

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.

Want to build your own custom tests?

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

Frequently asked questions

What is 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.

How long does it take to set up 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.