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Data Science Engineer Job Opening In India, India – Now Hiring Ishan Technologies


Job description

Job Summary:

We are seeking a highly skilled and analytical Data Scientist with hands-on experience in designing, developing, and deploying data-driven solutions.

The ideal candidate will have strong expertise in data analysis, machine learning, and cloud-based model deployment preferably on Google Cloud Platform (GCP).

This role involves working closely with cross-functional teams to translate data into actionable insights that enhance business decisions, optimize user experiences, and drive measurable outcomes across web and mobile applications, including React-based environments.


Key Responsibilities:

1.

Data Analysis and Modelling:

  • Analyse large-scale datasets from web and mobile applications (including React-based systems) to identify trends, patterns, and actionable insights.
  • Design and develop machine learning, predictive, and statistical models to solve complex business challenges such as churn prediction and customer segmentation.
  • Validate and refine model performance using suitable evaluation metrics to ensure accuracy, reliability, and business relevance.


2.

Data Collection and Integration:


  • Collect and preprocess data from multiple sources, including Firebase services (Firestore, Firebase Analytics), ensuring data quality and consistency.
  • Integrate disparate data sources into unified datasets compatible with APIs and application backends on cloud platforms.
  • Perform data cleaning, transformation, and feature engineering for modelling and visualization readiness.


3.

Insight Generation and Reporting:


  • Derive actionable insights to support business and product strategies, such as enhancing user experience in React-based applications.
  • Develop and maintain data visualizations and interactive dashboards using cloud-compatible tools.


  • Present findings and recommendations through clear reports to both technical and non-technical stakeholders.


4.

Collaboration and Communication:


  • Collaborate with developers, product managers, and UX teams to align data science initiatives with business goals.
  • Communicate project progress, analysis outcomes, and model performance through regular stakeholder updates.
  • Work with engineering teams to deploy models seamlessly into production environments (e.G., Firebase-hosted systems).


5.

Model Deployment and Monitoring:


  • Deploy and operationalize machine learning models in production using Google Cloud Platform (GCP) or other public clouds.
  • Continuously monitor model performance, addressing issues like data drift and optimizing scalability and efficiency.
  • Implement and maintain model tracking, logging, and monitoring frameworks in cloud environments.



Required Skills:

  • 4+ years of professional experience as a Data Scientist or in a similar analytical role.
  • Proven hands-on experience with at least one public cloud platform (strong preference for Google Cloud Platform).
  • Strong proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.).
  • Experience with Firebase, BigQuery, and Vertex AI is highly desirable.
  • Expertise in data visualization tools (e.G., Looker Studio, Tableau, or Power BI).
  • Strong understanding of data modelling, ETL processes, and API integrations in cloud-based systems.
  • Excellent communication skills and ability to collaborate with cross-functional teams.



Qualification:

  • Strong analytical and problem-solving skills.

  • Desire and ability to rapidly learn a wide variety of new technical skills.

  • Self-motivated, takes initiative, assumes ownership.

  • Enthusiastic, professional, with a focus on customer success.

  • Passion for solving client challenges and commitment to client delight.

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 India, India, highlighting market share and opportunities for professionals in Data Science roles.

150150 Jobs in India
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Are You Looking for Data Science Engineer Job?

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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 Ishan Technologies 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 India. 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.

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Interview Tips for Data Science Engineer Job Success

Ishan Technologies 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 Ishan Technologies'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 Ishan Technologies, 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 Ishan Technologies'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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