Talantix.io
Globant•02.03.26
AI SCORE 8.5

Senior Data Scientist with MLOps - Remote Opportunity

$120K–$150K/year
RemoteAI/Big Data
MLOps•Machine Learning•Data Analysis•Cloud Technologies•Statistical Analysis•Data Modeling

About the Role

We are seeking a Senior Data Scientist with MLOps experience to join our team remotely. At Globant, we are committed to making the world a better place through innovative technology solutions. As a Senior Data Scientist with MLOps, you will play a crucial role in transforming business processes and enhancing enterprise solutions to meet the evolving needs of consumers in this digital age.

What You'll Do

  • Leverage your expertise in AI and machine learning to develop data-driven solutions that enhance business operations.
  • Implement MLOps practices to streamline the deployment and monitoring of machine learning models.
  • Collaborate with cross-functional teams to design and optimize algorithms that drive business insights.
  • Utilize cloud technologies to build scalable data solutions that meet client requirements.
  • Engage with stakeholders to understand their needs and provide actionable insights through data analysis.

Requirements

  • Fluent in English (B2 - Upper Intermediate) is required.
  • Proven experience in MLOps and cloud technologies.
  • Familiarity with VertexAI is a significant advantage.
  • Strong analytical skills and experience with data modeling and statistical analysis.
  • Minimum of 5 years of experience in data science or related fields.

Nice to Have

  • Experience in working with large datasets and big data technologies.
  • Knowledge of data visualization tools.
  • Experience in agile methodologies.

What We Offer

  • Competitive salary in the range of $120,000 to $150,000 per year.
  • Comprehensive benefits package including health insurance, paid time off, and professional development opportunities.
  • Flexible working hours and a remote work environment.
  • Opportunities for career advancement and skill development.
  • A diverse and inclusive workplace culture.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Scientist role at Globant offers a unique opportunity to work remotely while driving innovation in AI and MLOps. With a competitive salary and a focus on professional development, it's an attractive position for experienced data scientists.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in MLOps tools such as Kubeflow or MLflow, with a strong ability to deploy and monitor machine learning models in cloud environments like AWS or Azure.

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Strong analytical mindset combined with a hands-on approach to data analysis and statistical modeling, enabling effective problem-solving in a remote work setting.

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Demonstrated experience in leading data-driven projects from inception to deployment, showcasing a proactive and innovative mindset that aligns with Globant's mission to enhance enterprise solutions.

Learning Resources

→MLOps: How to Scale Machine Learningcourse
→Introduction to Machine Learning with Pythoncourse
→MLOps: Continuous Delivery and Automation Pipelines in Machine Learningarticle

Career Path

Senior Data Scientist with MLOps(Now)→Lead Data Scientist(1-2 years)→Director of Data Science or MLOps(3-5 years)

Market Overview

Market Size 2024
$6.7B
Annual Growth
29.5%
AI Adoption in Enterprises
75%
Investment in MLOps Solutions
+45%
Labour Demand for Data Scientists
+22%
Avg Salary for Senior Data Scientist
$135K

Skills & Requirements

Required
MLOpsMachine LearningData Analysis
Growing in Demand
TensorFlowKubernetesDataOps
Declining
Apache MahoutHadoop MapReduce

Domain Trends

Rise of Automated Machine Learning (AutoML)
The adoption of AutoML tools is growing, with a projected increase of 32% in usage by 2025, allowing data scientists to focus more on strategic analysis.
Integration of MLOps with DevOps
Over 60% of organizations are integrating MLOps with existing DevOps practices to enhance collaboration and streamline model deployment.
Increased Focus on Model Governance
Around 58% of companies are implementing model governance frameworks to ensure compliance and ethical AI practices, reflecting a growing emphasis on responsible AI.

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