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Data Scientist II / Senior Data Scientist Job Opening In WorkFromHome – Now Hiring Microsoft


Job description

Overview

We are hiring multiple Data Scientists across LATAM to join the Microsoft 365 team.

These are remote positions, allowing you to work from home.

You will help shape one of Microsoft’s fastest-growing cloud services and directly impact Copilot, enabling personalized, context-aware experiences for millions of users across Microsoft 365.

You will collaborate with software engineers, product managers, and researchers to design, implement, and evaluate models and algorithms that adapt based on user interactions and feedback.

You will leverage advanced machine learning and information retrieval to predict and optimize memory content selection, representation, and lifecycle management.

This work sits at the forefront of applied AI and machine learning, contributing to a culture of innovation, continuous learning, and experimentation.

Responsibilities

  • Develop and evaluate ML models using prepared datasets, customer feedback, and novel training/fine-tuning algorithms for language models.

  • Write production-quality code, apply debugging best practices, and stay current with industry trends.

  • Drive customer-centric solutions by aligning with business goals and managing stakeholder expectations.

  • Collaborate cross-functionally to define success metrics and improve AI quality at scale.

  • Lead research projects that yield new algorithms, tools, or insights solving open problems.

  • Analyze evaluation outputs to identify gaps in coverage, quality, and usability.

  • Design experiments, define metrics, and develop ML pipelines for encoder-decoder and cross-encoder models, semantic search, and user intent understanding.

  • Work with large-scale data while championing privacy and compliance.

  • Engage with customers and internal teams to identify pain points and drive impactful improvements.

  • Stay engaged with the latest research and foster a strong applied science culture.

    Publishing is encouraged.

Qualifications

Main qualifications:

  • Bachelor’s degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field.

  • 4+ years of experience in predictive analytics, statistics, or research.

  • Experience with synthetic data generation and data management for evaluation/training.

  • At least one year of experience publishing patents or peer-reviewed papers.

  • Deep motivation for user-centric AI and interest in human cognition, memory, and AI.

  • Global collaboration is integral to our work at Microsoft, and proficiency in English is essential for effective communication in this role.

Preferred Qualifications:

  • Master’s degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field.

  • Experience with large-scale embedding models and transformer architectures.

  • Familiarity with reinforcement learning and distributed computing platforms (e.g., Heron, AML, Euclid).

  • Proficient analytical skills and experience with telemetry and performance metrics.

  • DevOps experience and cloud services knowledge (Azure preferred).

  • Agile development experience and a structured approach to software design.

Interpersonal Skills

  • Growth mindset with resilience and a passion for learning.

  • Commitment to diversity, inclusion, and authentic collaboration.

  • Effective communication skills with the ability to engage diverse audiences.

  • Ownership mindset with the ability to deliver results and manage expectations.

  • Self-motivated and collaborative across teams and organizations.

Additional Information

Microsoft is an equal opportunity employer.

Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Seniority level

  • Not Applicable

Employment type

  • Full-time

Job function

  • Engineering and Information Technology

Industries

  • Software Development

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Required Skill Profession

Bases De Datos, Analítica Y Bi


  • Job Details

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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


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6. Respect for human rights

7. Obeying Mexico laws and regulations

What Is the Average Salary Range for Data Scientist II / Senior Data Scientist 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 / Senior Data Scientist?

Key qualifications for Data Scientist II / Senior Data Scientist 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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Interview Tips for Data Scientist II / Senior Data Scientist Job Success

Microsoft interview tips for Data Scientist II / Senior Data Scientist

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

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Dress Professionally: Choose attire appropriate for the company culture.

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Final Thought:

To prepare for your Data Scientist II / Senior Data Scientist interview at Microsoft, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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