64 applicants

Company

EBANX · 1 day ago

Data Scientist PL

EBANX HQ or Remote

Full-time

Onsite

Mid, Senior Level

2+ years exp

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E-CommerceFinancial Services

Comp. & Benefits

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Responsibilities

Design, build, and maintain scalable machine learning infrastructure, including data pipelines, model deployment, and monitoring systems.

Collaborate with data scientists and ML engineers to understand their needs and implement best practices for machine learning workflows and lifecycle management.

Establish and enforce MLOps standards, guidelines, and methodologies across the organization.

Evaluate and select appropriate tools and technologies to support end-to-end ML development and deployment processes.

Troubleshoot and resolve production issues related to machine learning models and infrastructure.

Optimize ML infrastructure for performance, scalability, and cost-efficiency.

Monitor ML model performance and proactively identify potential issues or areas for improvement.

Continuously research and stay current with the latest trends and best practices in MLOps, sharing knowledge with the team.

Facilitate cross-functional communication and collaboration to ensure smooth integration of ML solutions with existing systems.

Mentor junior team members, providing guidance and support for their professional growth in MLOps.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonPysparkSQLAWSMachine LearningTensorFlowPyTorchScikit-learnApache AirflowETL processesDockerKubernetesMLOpsData ScienceStatisticsMathematicsMentoring

Required

Proficiency in writing complex code using languages such as Python, Pyspark, and SQL.

Relevant work experience with core compute and storage cloud services, preferably AWS.

Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).

Proficiency in building and maintaining data pipelines and ETL processes, preferably using tools like Apache Airflow, Step Functions and so on.

Strong understanding of software engineering best practices, including version control, code reviews, and CI/CD.

Hands-on experience with cloud platforms (preferably AWS) and containerization technologies (e.g., Docker, Kubernetes).

At least two and a half years of working experience with ML model deployment strategies, monitoring, and lifecycle management.

At least two and a half years of experience as a data scientist in the financial sector (banks, payment companies) or e-commerce. Internship phase should not be included in this reference period.

Degree in Computer Science, Engineering, Statistics, Mathematics, or related fields.

Diploma or certificate demonstrating theoretical coursework in data science, either through reputable online platforms like Coursera and DataCamp or through formal education.

Advanced level of English is necessary to enable conversations with vendors, clients, and foreign colleagues. Reading and writing documentation in English will be required frequently.

Benefits

A challenging environment, with opportunities to grow

Casual office and flexible dress code

Spanish, English and Portuguese classes

WAVES - Program of goals and results (variable compensation)

EBANX Play - Wellness (Gympass, e-Sports, SESC)

Semi flexible hours (8 hours a day - Monday to Friday)

Meal Allowance

Transportation voucher (if needed)

EBANX Education: scholarship

EBANX Skills: budget for workshops and courses

EBANX Flexible: monthly Day Off from February to November, birthday Day Off and Rest up Month - one month of paid leave every three years of work anniversary

EBANX Family: Daycare assistance, extended leave for caregivers and support program for children and pregnant women

EBANX Health: Health and Dental Insurance, with subsidy for dependents, and medicine subsidy for ebankers

Life Insurance: Life Insurance 100% paid by EBANX

Hello ebanker: psychology, finance and legal orientation

Blue Club: Exclusive discount for ebankers in bakeries, restaurants, courses, electronics store and more!