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Data Scientist

We are looking for a professional passionate about Data Science who can translate business challenges into innovative technical solutions. The ideal candidate will have solid experience in AWS and MLOps, with specific expertise in Champion-Challenger architecture and leveraging Amazon Q for advanced machine learning workflows.

Strong analytical skills, a focus on automating machine learning processes, and the ability to ensure the performance and scalability of models in production are essential. Their ability to work in agile environments and effectively communicate with both technical and non-technical teams will be critical for success in this role.

 


Duties and responsibilities
  • Define and manage the datasets required for implementing machine learning models.
  • Design, develop, and deploy analytical models aligned with the company's needs.
  • Provide maintenance and support for current models, ensuring their accuracy and relevance.
  • Automate the training of models using efficient pipelines.
  • Automate the deployment of models across multiple environments using MLOps best practices, including Champion-Challenger architecture to test and evaluate model performance.
  • Implement Champion-Challenger MLOps workflows to ensure seamless transitions between experimental and production-ready models.
  • Leverage Amazon Q for advanced machine learning solutions, scaling, and experimentation.
  • Document developed models and associated processes to ensure reproducibility and scalability.
  • Monitor and ensure the optimal performance of models in production environments.


Information Security Responsibilities
  • Read, acknowledge and comply with Viamericas Staff Information Security Policy via the Information Security training portal.  This should be done within 30 days of hire and repeated annually.
  • Attend periodic Information Security training provided by Viamericas’.
  • Report any event that might be an Information Security Incident: clicked on a malicious link, downloaded and opened a suspicious file, etc.


Qualifications
  • Bachelor’s degree in Systems Engineering, Statistics, Computer Science, or related fields.
  • Minimum 3 years of experience as a Data Scientist or in related roles.
  • Bilingual in English and Spanish is required.
  • Strong expertise in relational and non-relational databases.
  • Advanced knowledge of SQL, Python, MLOps, and AWS services, including SageMaker, Lambda, Step Functions, S3, Redshift, and Amazon Q.
  • Proven experience in designing, training, maintaining, and deploying machine learning models.
  • Expertise in Champion-Challenger MLOps architecture, A/B testing, and leveraging Amazon Q for enhanced model management.
  • Familiarity with agile methodologies.
  • Experience with data visualization tools like Tableau or QuickSight is desirable.
  • Proven experience in implementing models in production and building MLOps pipelines, particularly Champion-Challenger workflows.
  • Experience using Amazon Q for model scaling and advanced analytics.
  • Experience collaborating in multidisciplinary teams to solve complex challenges.


Working Conditions
  • General office working conditions, with a hybrid work schedule. 


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$70000 / YEARLY (est.)
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$60000K
$80000K

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What You Should Know About Data Scientist, Viamericas

Join Viamericas as a passionate Data Scientist in beautiful Medellin, Antioquia! We're on the hunt for a talented professional who loves diving into data and translating complex business challenges into innovative technical solutions. In this role, you'll leverage your solid experience in AWS and MLOps, along with your specific expertise in Champion-Challenger architecture and Amazon Q, to build advanced machine learning workflows. We need someone who thrives in agile environments, can automate machine learning processes, and ensure models perform optimally in production. You'll get to define and manage datasets for machine learning models, design and deploy analytical models, and automate their training using efficient pipelines. Your analytical skills will shine as you maintain the accuracy and relevance of our existing models and monitor their performance. Effective communication with both technical and non-technical teams is essential for your success here. Are you ready to take on the challenge and make a real impact at Viamericas? If you have a Bachelor’s degree in Systems Engineering, Statistics, or a related field, and a minimum of 3 years of experience as a Data Scientist, apply today and let's make waves in the world of data science together!

Frequently Asked Questions (FAQs) for Data Scientist Role at Viamericas
What are the main responsibilities of a Data Scientist at Viamericas?

As a Data Scientist at Viamericas, your primary responsibilities will include defining and managing datasets for machine learning models, designing and deploying analytical models that align with our business needs, and ensuring their maintenance and support. You'll also automate the training of models and implement Champion-Challenger MLOps workflows to manage model performance effectively.

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What qualifications are needed to become a Data Scientist at Viamericas?

To qualify for the Data Scientist role at Viamericas, you should have a Bachelor's degree in Systems Engineering, Statistics, Computer Science, or a similar field, along with at least 3 years of experience in a Data Scientist role. Bilingual proficiency in English and Spanish is required, and expertise in SQL, Python, MLOps, and AWS services, especially Amazon Q, will give you a competitive edge.

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What technical skills are essential for the Data Scientist position at Viamericas?

In the Data Scientist position at Viamericas, essential technical skills include advanced knowledge in SQL, Python, and proficiency with AWS services like SageMaker, Lambda, and Amazon Q. You should also be experienced in designing, training, and deploying machine learning models, and have a strong understanding of Champion-Challenger MLOps architecture.

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How does Viamericas support information security for Data Scientists?

At Viamericas, information security is a top priority. As a Data Scientist, you will be required to read and comply with our Staff Information Security Policy, complete training within 30 days of hire, and attend periodic training sessions. You'll also need to report any incidents that might pose a security threat.

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What is the work environment like for Data Scientists at Viamericas?

Data Scientists at Viamericas enjoy general office working conditions with a hybrid work schedule. This allows you to balance in-office collaboration with the flexibility of remote work, fostering both productivity and a great team environment.

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Common Interview Questions for Data Scientist
Can you explain your experience with MLOps practices?

When answering this question, share specific examples of how you've applied MLOps practices in your previous roles. Discuss your familiarity with automation in model training, deployment pipelines, and any specific tools you used to facilitate these processes.

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What approaches do you take to ensure model accuracy over time?

Discuss your strategies for maintaining model accuracy, including regular monitoring, retraining schedules, and the use of Champion-Challenger methodologies. Emphasize your proactive approach to model maintenance.

Join Rise to see the full answer
How do you handle working with non-technical stakeholders?

Explain your communication strategies for bridging the gap between technical details and business language. Provide an example of a successful collaboration that led to impactful results.

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What is your experience with AWS services?

Discuss the specific AWS services you have utilized in your previous projects, such as SageMaker or Lambda. Provide context on projects where these services played a crucial role in developing machine learning solutions.

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How do you manage large datasets during model training?

Talk about tools or techniques you've used for data management, including data cleaning and preprocessing methods. Be sure to mention any experience with relational and non-relational databases.

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Can you walk us through a machine learning project you released into production?

Give a comprehensive overview of a successful project, detailing the problem, your approach, the technologies used, and the impact the model had once deployed. Highlight challenges you overcame during the project.

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What experience do you have with data visualization tools?

Share your knowledge and experience with data visualization tools such as Tableau or QuickSight. Discuss how you incorporated these tools into your data analysis process and the value they added to your projects.

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How do you prioritize tasks in a fast-paced environment?

Discuss your time management strategies in an agile work environment. Mention any specific methodologies you follow and how they contribute to your productivity and effectiveness.

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What do you consider when designing a Champion-Challenger experiment?

Explain the key factors in implementing Champion-Challenger architecture that you take into consideration, such as performance metrics, user impact, and transition strategies.

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How do you keep up with the latest trends in data science?

Discuss your methods for staying informed about industry trends, whether through online courses, webinars, conferences, or professional networking. Show your commitment to continuous learning in the field of data science.

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Viamericas is a #1 ranked and licensed money transmitter offering international money transfer, bill payment, check processing and top-up services at thousands of agent locations across the United States, and over 100,000 locations in 80 countries...

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Full-time, hybrid
DATE POSTED
December 4, 2024

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