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Data Scientist Position in Ciudad Apodaca - Corning


Job description

In this role, you will contribute to transforming raw data into actionable insights by leveraging analytical tools, statistical models, and machine learning techniques.

You will collaborate with global cross-functional teams to solve real-world problems, optimize workflows, and support business decisions.

You will work with a feasibility development team to assess and develop capabilities that are suitable for operational deployment.

Key Responsibilities:

  • Gather, clean, and preprocess data from various sources, ensuring quality and usability for analysis or modeling.
  • Perform statistical analysis and generate visualizations to uncover trends, patterns, and actionable insights in datasets.


  • Design, implement, and evaluate machine learning models to solve business challenges, optimizing for accuracy and efficiency.


  • Build dashboards, charts, and reports using visualization tools to clearly communicate findings to technical and non-technical stakeholders.


  • Assist with designing and maintaining data pipelines, writing efficient code and SQL queries to process and store data effectively.


  • Work closely with global cross-functional teams, present insights, and contribute to discussions that shape project outcomes.


  • Stay updated with emerging technologies and methodologies in data science and actively seek opportunities to refine skills and knowledge.


  • Document processes, training, methodologies, and findings, and present results to both technical and non-technical stakeholders globally.


  • Collaborate with other team members to develop and implement digital projects and initiatives for manufacturing and industrial sectors.
  • Qualifications:

  • Bachelor’s degree in computer science, Data Science, Mathematics, Statistics, Engineering, or a related field.

  • Basic programming skills in languages such as Python, R, or Java.

  • Understanding of foundational machine learning concepts, algorithms, and workflows.

  • Proficiency in data preprocessing, feature engineering, and exploratory data analysis (e.g Databricks).

  • Experience with cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying and scaling machine learning models.

  • Familiarity with data visualization tools and techniques.

  • Strong problem-solving skills and the ability to work independently as well as in a global team.

  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Proficiency in English, both written and verbal, to effectively communicate with global teams and stakeholders.
  • Additional Qualifications:

  • Experience with Industry 4.0 technologies and applications, such as IoT, AI robotics, and automation.

  • Knowledge of version control tools like Git for collaborative coding projects.

  • Knowledge of big data technologies such as Hadoop, Spark, or Kafka.

  • Contributions to open-source projects or published research in the field of AI/ML, data science, and Industry 4.0.
  • Required Skill Profession

    Mathematical Science Occupations


    • Job Details

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    Unlock Your Data Scientist Potential: Insight & Career Growth Guide


    Real-time Data Scientist 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 Data Scientist in Ciudad Apodaca, Mexico, highlighting market share and opportunities for professionals in Data Scientist roles.

    2807 Jobs in Mexico
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    257 Jobs in Ciudad Apodaca
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    Download Data Scientist Jobs Trends in Ciudad Apodaca and Mexico

    Are You Looking for Data Scientist Job?

    Great news! is currently hiring and seeking a Data Scientist to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    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 Corning 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 Mexico laws and regulations

    What Is the Average Salary Range for Data Scientist Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Ciudad Apodaca. 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 Data Scientist?

    Key qualifications for Data Scientist 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 Data Scientist Job Success

    Corning interview tips for Data Scientist

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

    Before the Interview:

    Research: Learn about the Corning'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 Data Scientist interview at Corning, 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 Corning'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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