Data Science Programming (Python)

Our Data Science Programming assessment test examines candidates’ knowledge of core python programming concepts, including their familiarity with various data structures and their proficiencies in advanced concepts such as Generators, Lambda, etc.

Over 1000 global tech brands trust our Data Science Programming test and have evaluated 8M+ candidates

Customization Available

Adjust skill distribution as per your need
Add Additional Skills

Customize skills according to your needs. Adjust the distribution of skills and the questions.

Customise test with your own questions
Add Your Own Custom Questions

Bring custom questions that you’ve already framed. Plus, validate them in 1 click.

Set passing criteria to filter out unqualified candidates
Set Custom Passing Criteria

Set passing criteria such as Select, Potential, and Reject to filter out unqualified candidates.

Improve candidate participation, and experience
Lighten up the Candidate Experience

Increase the completion rate of your TypeScript developer assessment test for hiring with automated boosting + candidate engagement.

Test Details

Time bound skill testing
Test Duration

30 Mins, 45 Mins, 60 Mins, 90 Mins, 120 Mins

WeCP - Question types for skill testing
Question Types

Knowledge, Thinking, Work Sample

Proctor Candidates during a test - WeCP
Proctoring

AI-based: Video, Web, Audio (Optional)

Skills Covered

  • Matplotlib

  • Pandas

  • Dataframes

  • Scoping

  • Data Cleaning

  • RegEx

  • NumPy

  • SciPy

  • Statistics

  • Scikit learn

How it works?

1

Add your candidates or source from WeCP
Talent Pool​

2

Screen candidates using this Data Science Programming invite the shortlists for a live interview.

3

Conduct live interviews using coding IDE, questions and whiteboard

4

Proceed for onboarding the final hires to your team
in 1-click

About The Data Science Programming Assessment Test

The WeCP Data Science Programming test for hiring was designed to help you find the right candidate for the python programmer position at your company. This test measures the most fundamental qualities a skilled and high-performing candidate for a python developer position must possess.

The criteria prioritized by our Data Science Programming skills assessment test for hiring include the following:

  1. Candidates’ familiarity with various data structures.
  2. Proficiency in advanced concepts, such as Generators, Lambda, etc.
  3. Ability to handle database CRUD operations using Python.
  4. Ability to test, debug, and handle errors in Python programs.

Overall, our Data Science Programming assessment test measures candidates’ knowledge, thinking ability, hands-on proficiency in programming skills, and ability to create and deliver timely performance reports.

Steps To Hiring a Data Science Programming Developer

1

Requirements

Clearly describing your hiring needs will help candidates identify whether they can fulfill the role or otherwise. Criteria you’ll need to address include skills requirements, on-site or remote working, and full-time or part-time hiring.

2

Source candidates

To be successful in sourcing talent, you must utilize the right channels to find the best candidates. Building a talent pool will save an amazing amount of time when finding suitable candidates.

3

Keep your sourced candidates engaged

The next step is to keep your candidate engaged, as your competitor is also seeking the best talent for their organization. By maintaining consistent communication with your candidate during the hiring process, you will be able to retain their attention.

4

Screen candidates

The importance of screening can never be overemphasized. This process allows you to determine who is best for the position based on their skills without bias. Therefore, you need to find a tool that helps you assess not only the best and least but also candidates with high potential.

5

Offer a great interview experience

A positive interview experience is crucial in achieving the highest offer conversion rate. You must ensure that both the hiring process and the platform assist you in achieving this goal.

6

Closing

Once you have concluded and decided to hire a candidate, ensure that the onboarding process is smooth and that the candidate does not have any difficulties during the process.

Best Practices While Hiring a Data Science Programming Developer

DO's

DON'TS

Evaluation Parameters to Judge Data Science Programming Developer

1

Fundamentals

In fact, this could also be applied in most of the other roles out there. To perform better, candidates need to have a firm grasp of Data Science Programming developers to do their best.

2

Hands-on

An individual’s skill level when performing a task in the real world is determined by how well they perform hands-on assignments within a given field. 

3

Technical Communication

Technical communication is vital in terms of individual work as well as collaborative work between members of a team. Thus, it is one of the most essential evaluative criteria in our Judge Data Science Programming Developer test for hiring.

4

Code Quality

High-quality code makes it easier for teams to collaborate on comments, proper indentation, clear notation, and simplicity of flow. This way, high-quality code becomes easier to read, modify, and edit. Therefore, it plays an important role in every candidate’s evaluation.

5

Code Plagiarism

When hiring python programmers, plagiarism is one of the strict no-nos. If a python programmer cannot test, debug, and handle errors in Data Science Programming independently, then there is no point in putting them on large-scale projects.

6

Problem Solving Aptitude

Undoubtedly, machine language engineers are problem solvers at their core. Therefore, when a problem arises, they must be able to solve it naturally. 

7

Productivity in each Skills

Hiring a Data Science Programming with good skills but poor productivity is not beneficial. Regardless of their skill level, such a person will negatively impact the project’s completion rate.

8

Rank / Precentile Among Others

Ranking or percentile helps you to identify the best candidates and guides you in selecting them accordingly. It enables you to locate the best candidates to engage in specific projects and achieve results.

9

Attitude / Team Work

Ultimately, it’s not only about a candidate’s skills but also their attitude to work with the team leader to achieve better results.

Create a customized Data Science Programming assessment test today

Frequently Asked Questions

Our pricing plans are based on volume and the features you choose. We tailor our plans to fit your hiring needs and volume. So please, don’t hesitate to contact us for a custom quotation.Ultimately, it is not only about a candidate’s skills but also their attitude to work with the team leader to achieve better results.

Several Customers of WeCP say we are the best of all tools in the market from questions quality perspective. Many others say we’re one of the best enterprise software for hiring accuracy (i.e., 100% of the techies screened by WeCP have been found super productive in their work). In addition, enterprise brands like Infosys, Mindtree, and Adobe have previously mentioned that they found WeCP as one of the most robust tools for big hiring drives of up to 100,000 candidates writing their coding hackathons.

Besides, 4-click technical hiring (Source > Screen > Interview > Onboard) is the most significant differentiator of WeCP. For easier distinction, we’ve prepared a detailed competitive analysis of WeCP Vs. HackerRankWeCP Vs. CodilityWeCP Vs. HackerEarth, and WeCP Vs. CodeSignal. Also, check out this google search about the best technical screening tools.

Yes! All business plans include a dedicated account manager and 24×7 email/chat/phone support.

For A-Z technical roles of all the three levels – entry-level (0-3 yrs), mid-level (3-5 yrs), senior level (5+ yrs). Checkout the skills and roles we support. Do also checkout the different assessment methods we offer. They’re really cool!

Just contact us and we’ll be more than happy to help.

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