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Data Science Engineer Job Opening In Pune – Now Hiring Copeland


Job description

 In This Role, Your Responsibilities Will Be:

  • Collaborate with cross-functional teams to identify opportunities to apply data-driven insights and develop innovative solutions to complex business problems.
  • Develop, implement, and maintain SQL data pipelines and ETL processes to collect, clean, and curate large and diverse datasets from various sources.
  • Design, build, and deploy predictive and prescriptive machine learning models, generative AI model prompt engineering to help the organization make better data-driven decisions.
  • Perform exploratory data analysis, feature engineering, and data visualization to gain insights and identify potential areas for improvement.
  • Optimize machine learning models and algorithms to ensure scalability, accuracy, and performance while minimizing computational costs.
  • Continuously monitor and evaluate the performance of deployed models, updating or refining them as needed.
  • Stay abreast of the latest developments in data science, machine learning, and big data technologies to drive innovation and maintain a competitive advantage.
  • Develop and implement best practices in data management, data modeling, code, and data quality assurance.
  • Communicate effectively with team members, stakeholders, and senior management to translate data insights into actionable strategies and recommendations.
  • Who You are:


    You take initiatives and doesn’t wait for instructions and proactively seek opportunities to contribute.

    You adapt quickly to new situations and apply knowledge optimally.

    Clearly convey ideas and actively listen to others to complete assigned task as planned


    For This Role, You Will Need:

  • Bachelor’s degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred.
  • - years of experience with popular data science libraries and frameworks such as scikit-learn, SQL, SciPy, TensorFlow, PyTorch, NumPy and Pandas.
  • Minimum years of experience in data science projects leveraging machine learning, deep learning, transformer based large language models or any of other cutting edge AI technologies.
  • Strong programming skills in Python is a must.
  • Solid understanding of calculus, linear algebra, probability, machine learning algorithms, Transformer architecture-based model and data modeling techniques.
  • Proficiency in data visualization tools, such as Matplotlib or Seaborn or Bokeh or Dash.
  • Strong problem-solving and analytical skills with an ability to synthesize complex data sets into actionable insights.
  • Excellent written and verbal communication skills, with the ability to present technical concepts to non-technical audiences.
  • Preferred Qualifications that Set You Apart:

  • Possession of relevant certification/s in data science from reputed universities specializing in AI.
  • Prior experience in engineering would be nice to have.
  • Our Culture & Commitment to You

    At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow.

    We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams.

    Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive.

    Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact.

    We believe diverse teams, working together are key to driving growth and delivering business results.


    We recognize the importance of employee wellbeing.

    We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more.

    Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.

    Required Skill Profession

    Mathematical Science Occupations


    • Job Details

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    Unlock Your Data Science Potential: Insight & Career Growth Guide


    Real-time Data Science 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 Science in Pune, India, highlighting market share and opportunities for professionals in Data Science roles.

    150180 Jobs in India
    150180
    3701 Jobs in Pune
    3701
    Download Data Science Jobs Trends in Pune and India

    Are You Looking for Data Science Engineer Job?

    Great news! is currently hiring and seeking a Data Science Engineer 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 Copeland 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 Data Science Engineer Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Pune. 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 Science Engineer?

    Key qualifications for 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.

    How Can I Improve My Chances of Getting Hired for Data Science Engineer?

    To improve your chances of getting hired for 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 Data Science Engineer Job Success

    Copeland interview tips for Data Science Engineer

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

    Before the Interview:

    Research: Learn about the Copeland'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 Science Engineer interview at Copeland, 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 Copeland'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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