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Calderys - Data Science Engineer - Machine Learning Job Opening In Kolkata – Now Hiring Calderys India Refractories Ltd.


Job description

<p><p><b>Role Description : </b><br/><br/></p><p>This is a full-time, on-site role for a Data Science Engineer located in Kolkata.

The Data Science Engineer will be responsible for developing and implementing data models, analyzing large data sets to extract insights, creating predictive models and algorithms, and collaborating with cross-functional teams to support business needs.

Daily tasks include data cleaning, processing, and visualization, as well as writing scripts and code for data workflows.<br/><br/><b>Responsibilities : </b><br/><br/></p><p>- Develop and implement robust data models and machine learning algorithms to support business decision-making.<br/><br/></p><p>- Analyze large and complex datasets to extract actionable insights and trends.<br/><br/></p><p>- Perform data cleaning, transformation, and visualization to ensure data quality and usability.<br/><br/></p><p>- Write efficient scripts and code to support end-to-end data workflows and automation.<br/><br/></p><p>- Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.<br/><br/></p><p>- Build and maintain front-end components using frameworks like React, Vue, or Angular in industrial or engineering contexts.<br/><br/><b>Qualifications : </b><br/><br/></p><p>- 3+ years of experience in front end development, ideally in industrial or engineering environment.<br/><br/></p><p>- Proficiency in predictive modeling, data visualization, and machine learning algorithms.<br/><br/></p><p>- Skills in programming languages such as React, Vue or Angular.<br/><br/></p><p>- Ability to collaborate with cross-functional teams and communicate insights effectively.<br/><br/></p><p>- Excellent problem-solving and analytical thinking abilities.<br/><br/></p><p>- Experience in industrial or manufacturing settings is a plus.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Calderys Data Potential: Insight & Career Growth Guide


Real-time Calderys Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Calderys Data in Kolkata, India, highlighting market share and opportunities for professionals in Calderys Data roles.

153914 Jobs in India
153914
1378 Jobs in Kolkata
1378
Download Calderys Data Jobs Trends in Kolkata and India

Are You Looking for Calderys Data Science Engineer Machine Learning Job?

Great news! is currently hiring and seeking a Calderys Data Science Engineer Machine Learning to join their team. Feel free to download the 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 Calderys India Refractories Ltd. 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 India laws and regulations

What Is the Average Salary Range for Calderys Data Science Engineer Machine Learning Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Kolkata. 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 Calderys Data Science Engineer Machine Learning?

Key qualifications for Calderys Data Science Engineer Machine Learning 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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Interview Tips for Calderys Data Science Engineer Machine Learning Job Success

Calderys India Refractories Ltd. interview tips for Calderys   Data Science Engineer   Machine Learning

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Before the Interview:

Research: Learn about the Calderys India Refractories Ltd.'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.

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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.

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

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Calderys Data Science Engineer Machine Learning interview at Calderys India Refractories Ltd., 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 Calderys India Refractories Ltd.'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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