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Data Scientist II Job Opening In WorkFromHome – Now Hiring Scribd, Inc.


Job description

Overview

Data Scientist II role at Scribd, Inc.

Join to apply for this position.

About Scribd

At Scribd (pronounced “scribbed”), our mission is to spark human curiosity.

We create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our products: Everand, Scribd, and Slideshare.

Scribd supports a culture where employees can be real and bold, debate and commit, and take action with the customer in mind.

Scribd Flex enables flexible work with occasional in-person attendance required.

The company values GRIT—goals, results, innovative ideas, and teamwork.

The Applied Research team models how machine learning, NLP and generative AI can deliver value to users and the business.

We collaborate with Product and Engineering to maximize impact across content enrichment, representations learning, recommendations, search, translation, and other areas across text, image, and audio at scale.

Role Overview

We are seeking a Data Scientist II with experience developing and deploying machine learning models.

You will help design and implement high impact AI and ML systems in cross-functional teams with Machine Learning Engineers, Data Engineers and Product.

The role focuses on building models using large data, language models, and end-to-end deployment with emphasis on simplicity, visibility and impact.

Responsibilities

  • Focus on content classification use cases, leveraging traditional NLP, LLMs and generative models
  • Investigate scalable solutions for challenging problems at Scribd
  • Collaborate with other Data Scientists, ML Engineers and ML Data Engineers on cross-functional projects
  • Utilize algorithms from classical Scikit-learn and NumPy to custom PyTorch neural networks and third-party LLM APIs
  • Process large data sets with Python, SQL and Spark
  • Communicate approaches and results to stakeholders and document projects clearly

Requirements

  • 3+ years post-qualification experience developing ML models, deploying to production and working with systems at scale
  • Proficiency in Python
  • Hands-on experience building ML pipelines and with distributed data processing frameworks (e.g., Apache Spark, Databricks)
  • Intermediate level in at least three of: classification, NLP, search, information retrieval, named entity recognition, deep learning, generative models
  • Intermediate level or greater with SQL or PySpark
  • Bachelors or Masters in a relevant quantitative field (e.g., Statistics, Computer Science, Data Science, AI)

Compensation and Benefits

Salary ranges vary by location and are determined with consideration of experience, skills, and business needs.

California: typically $118,000 - $184,000; US (outside CA): $97,000 - $175,000; Canada: $123,000 CAD - $164,000 CAD.

This position is eligible for equity and a comprehensive benefits package.

Working Location and Eligibility

Employees must have their primary residence in or near listed cities.

United States: Atlanta, Austin, Boston, Dallas, Denver, Chicago, Houston, Jacksonville, Los Angeles, Miami, New York, Phoenix, Portland, Sacramento, Salt Lake City, San Diego, San Francisco, Seattle, Washington D.C. Canada: Ottawa, Toronto, Vancouver.

Mexico: Mexico City.

EEO and Equal Opportunity

Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

We encourage people of all backgrounds to apply and value diverse perspectives.

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Required Skill Profession

Bases De Datos, Analítica Y Bi


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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


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Are You Looking for Data Scientist II 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 Scribd, Inc. 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 II Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. 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 II?

Key qualifications for Data Scientist II typically include Bases De Datos, Analítica Y Bi 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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To improve your chances of getting hired for Data Scientist II, 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 Scientist II Job Success

Scribd, Inc. interview tips for Data Scientist II

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

Before the Interview:

Research: Learn about the Scribd, Inc.'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 II interview at Scribd, Inc., 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 Scribd, Inc.'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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