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Machine Learning Scientist II - Search Algorithms Job Opening In Bengaluru – Now Hiring Nykaa


Job description

About the Team: Join the dynamic Nykaa Data Science team as a Machine Learning Scientist II.

In this role, you will contribute to analyzing data and developing machine learning models that enhance the relevance and ranking of our search platforms.

You will work closely with cross-functional teams to gather performance metrics, evaluate search outcomes, and optimize the user experience on Nykaa's platform.

This position offers the opportunity to collaborate in a fast-paced environment and make a significant impact on our search functionalities.

What are we looking for ?

Education:

  • Bachelor’s or Master’s Degree in Data Science, Computer Science, Statistics, or a related field from a reputable institution.

Experience:

  • 3+ years of industry experience in Data Science and building Machine Learning models.
  • Demonstrated experience in building and deploying machine learning models that handle large datasets.
  • Experience in Search Data Science, Natural Language Processing (NLP) tasks, or Vector Search is a plus.

Technical Skills:

  • Strong foundational knowledge in Probability Theory, Statistics, and Machine Learning.
  • Proficiency with machine learning languages and frameworks such as Python, Numpy, Pandas, Scikit-Learn, PySpark, TensorFlow/PyTorch, XGBoost/LightGBM.
  • Understanding of A/B testing methodologies and experience in designing, implementing, and analyzing experiments to evaluate search algorithm performance.
  • Familiarity with best practices throughout all stages of the Data Science lifecycle, including data preprocessing, model training, evaluation, deployment and monitoring.

Soft Skills:

  • Demonstrated ownership and ability to deliver results on data-driven projects.
  • Capability to manage multiple priorities in a fast-paced environment.
  • Technical aptitude to quickly gr/asp complex technical issues and communicate effectively with both technical and non-technical teams.


Responsibilities:

  • Search Optimization: Analyze user behavior insights in search and develop high-quality machine learning algorithms to improve search relevance and ranking.
  • Model Development: Lead and mentor other machine learning scientists to promote learning, growth, and success within the team.
  • Continuous Learning: Stay updated on advancements in the field of Machine Learning and apply these learnings to improve search algorithms.
  • Customer Focus: Understand customer needs and leverage technology to enhance the search experience on Nykaa’s platform.
  • Documentation and Reporting: Document models, experiments, and processes.

    Present findings and insights to stakeholders to inform decision-making.

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning 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 Machine Learning in Bengaluru, India, highlighting market share and opportunities for professionals in Machine Learning roles.

19853 Jobs in India
19853
1612 Jobs in Bengaluru
1612
Download Machine Learning Jobs Trends in Bengaluru and India

Are You Looking for Machine Learning Scientist II Search Algorithms 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 Nykaa 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 Machine Learning Scientist II Search Algorithms Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. 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 Machine Learning Scientist II Search Algorithms?

Key qualifications for Machine Learning Scientist II Search Algorithms 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 Machine Learning Scientist II Search Algorithms Job Success

Nykaa interview tips for Machine Learning Scientist II   Search Algorithms

Here are some tips to help you prepare for and ace your Machine Learning Scientist II Search Algorithms job interview:

Before the Interview:

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

Other Openings

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Dress Professionally: Choose attire appropriate for the company culture.

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During the Interview:

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Machine Learning Scientist II Search Algorithms interview at Nykaa, 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 Nykaa'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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