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Wayfair - Data Scientist - LLM/Generative AI Job Opening In Bengaluru – Now Hiring Wayfair


Job description

<p><p><b>Description :</b><br/><br/>As a Data Scientist, you'll play a critical role in uncovering insights that shape strategic decisions and improve business performance.

You will explore data trends, diagnose gaps, and identify growth and innovation opportunities across Wayfair's data.

Your work will directly impact how the company understands performance and makes data-informed decisions.<br/><br/><b>Responsibilities :</b></p><p><br/>- Conduct in-depth analysis across large-scale datasets (clickstream, sales, product, logistics, and customer data) to uncover trends, gaps, and business opportunities.<br/><br/></p><p>- Champion the use of emerging technologies - including GenAI and LLMs - to transform how we explore data and uncover insights, unlocking new ways to accelerate analysis, automate complex workflows, and make insights more accessible and actionable across the business.<br/><br/></p><p>- Become a subject matter expert on key business metrics and customer behavior, ensuring accurate interpretation and analysis.<br/><br/></p><p>- Drive innovation in business analysis by adopting and implementing new methodologies (e.

g., key driver analysis, anomaly detection, forecasting, cohorting).<br/><br/></p><p>- Establish robust KPI tracking and anomaly detection systems to ensure early identification of emerging issues and opportunities.<br/><br/></p><p>- Collaborate with cross-functional partners including Business Strategy, Product, and Engineering uncover actionable insights that drive growth and improve customer experience.<br/><br/></p><p>- Design, run, and interpret A/B tests to make high-impact changes to the customer experience.<br/><br/></p><p>- Build, automate, and maintain scalable dashboards and reports using tools like Looker, BigQuery (GBQ), SQL, and Python to enable efficient and self-serve data access for stakeholders.<br/><br/></p><p>- Develop optimized and maintainable code pipelines to transform multi-terabyte data into meaningful business insights and :</b></p><p><br/>- Bachelor's in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline; Master's preferred.<br/><br/></p><p>- 3 - 5 years of work experience in a relevant field, such as analytics or data science.<br/><br/></p><p>- Proficient knowledge of a statistical programming language such as Python, R, SAS, or SPSS.<br/><br/></p><p>- Proficient knowledge of SQL (incl.

Aggregate functions, joins, etc.).<br/><br/></p><p>- Experience conducting quantitative analyses on large and complex data sets.<br/><br/></p><p>- Experience in leveraging modeling algorithms to derive business insights.<br/><br/></p><p>- Experience with experimental test design, such as A/B testing.<br/><br/></p><p>- Experience with data visualization software (e.

g.

Google Data Studio, Tableau, Power BI); experience with Looker is a plus.<br/><br/></p><p>- An analytical, creative, and innovative approach to solving problems.<br/><br/></p><p>- Strong written and verbal communication.<br/><br/></p><p>- Ecommerce or retail analytics experience is a plus.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Wayfair Data Potential: Insight & Career Growth Guide


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

147118 Jobs in India
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10439 Jobs in Bengaluru
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Are You Looking for Wayfair Data Scientist LLM/Generative AI 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 Wayfair 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 Wayfair Data Scientist LLM/Generative AI 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 Wayfair Data Scientist LLM/Generative AI?

Key qualifications for Wayfair Data Scientist LLM/Generative AI 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 Wayfair Data Scientist LLM/Generative AI Job Success

Wayfair interview tips for Wayfair   Data Scientist   LLM/Generative AI

Here are some tips to help you prepare for and ace your Wayfair Data Scientist LLM/Generative AI job interview:

Before the Interview:

Research: Learn about the Wayfair'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 Wayfair Data Scientist LLM/Generative AI interview at Wayfair, 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 Wayfair'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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