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AI Data Science Engineer Job Opening In Prague – Now Hiring Ness Digital Engineering


Job description

Description

Job ID 6590

Why Ness

We know that people are our greatest asset.

Our staff's professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world's leading technology companies.

It is these qualities that are vital to our continued success.

As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.

You'll gain knowledge by working alongside other highly skilled professionals that will help accelerate your career progression.

You'll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities, and attractive compensation.
Location: only Romania/possible remote cooperation

Requirements and responsibilities

What you'll do

Our data scientists are the link between our business, customers and technology solutions.

By modelling and transforming datasets, our data scientists provide valuable insights that help us to make decisions and build customer solutions.

As a data scientist, you’ll work on challenging projects at a large scale with real life data.

You define new metrics, build new tools, and work on machine learning solutions.

You’ll help us deep dive the needs of our customers so we can keep adapting to their demands and improving their experience.

What you'll bring

  • Data Science experience Senior level;
  • Experience with Standard AI mathematic models, deploying the models;
  • Communication skills and experience of writing detailed specifications;
  • Should be a self-starter, team oriented and be able to work independently and creatively;
  • Able to thrive in a fast-paced environment and learn quickly.

Key skillset

  • Standard AI Algorithms (anomaly detection, linear regression);
  • Python, Tensorflow working with AI models and deploying the models 
  • Statistical models (math background),
  • Data Science with Math;
  • Cloud;
  • How Models are built (templates);
  • Custom-built models;
  • Ideally building models in FS arena;
  • Predictive analytics;
  • Not GenAI but standard AI Algorithms (anomaly detection, linear regression, etc...)
  • English - advanced (spoken and written);
  • Pro-active and Team Oriented approach;
  • Ability and willingness to learn new technologies;
  • Position is suitable for an engineer who is experienced with standard AI mathematic models 
  • Position is not suitable for students or Junior Engineers.

Must have:
- hands-on experience in data manipulation and model development in professional settings
- solid analytical thinking and solid foundations in statistics
- effective communication
- good organizational habits
- A proactive and positive attitude, including: enjoys being challenged, takes ownership and seeks solutions, a team player
- Educational background: A Master’s degree or higher in a relevant quantitative field is preferred, though not strictly required

Not checking every single requirement?

If this role sounds good to you, even if you don't meet every single bullet point in the job description, we encourage you to apply anyway.

For most of the candidates that applied, we found a role that was a very good fit with their skills.

Let's meet and you may just be the right candidate for one of our roles.

At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Ness Digital Engineering adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Czech Republic laws and regulations

What Is the Average Salary Range for AI Data Science Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Prague. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for AI Data Science Engineer?

Key qualifications for AI Data Science Engineer typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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To improve your chances of getting hired for AI Data Science Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for AI Data Science Engineer Job Success

Ness Digital Engineering interview tips for AI Data Science Engineer

Here are some tips to help you prepare for and ace your AI Data Science Engineer job interview:

Before the Interview:

Research: Learn about the Ness Digital Engineering's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your AI Data Science Engineer interview at Ness Digital Engineering, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Ness Digital Engineering's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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