Senior Data Scientist Lead: AWS & Strategy (Remote)

Accenture Plc; Neuquén; Remote; ARS 136,863,000 - 228,106,000; Full time

Benefits offered by this job

100% remote work

Long-term engagement with国际 clients

High-impact technical leadership role

Opportunity to influence data science和

Job summary

Coderio is seeking a Senior Data Scientist Lead to join one of its international clients and drive design, development, and delivery of data science solutions that generate measurable business value.

The role blends hands-on data science with technical leadership, mentoring teammates, guiding architecture decisions, and collaborating with business and engineering stakeholders across AWS-based environments.

Qualifications

• 6+ years of professional experience in Data Science, Machine Learning, Advanced Analytics, or a related field, with proven experience leading technical initiatives or teams.
• Strong hands‑on experience with statistical modeling, machine learning algorithms, predictive analytics, experimentation, and data‑driven problem solving.
• Advanced proficiency in Python, with experience using common data science and machine learning libraries such as Pandas, NumPy, Scikit-learn, or similar.
• Strong understanding of supervised and unsupervised learning, model evaluation, feature engineering, optimization, and production machine learning practices.
• Solid hands‑on experience designing or implementing data science and machine learning solutions in AWS environments.
• Strong SQL skills and experience working with large datasets, data warehouses, and complex data environments.
• Proven ability to lead technical discussions, make architecture and modeling decisions, mentor other professionals, and drive projects from concept to production.
• Advanced English proficiency, with the ability to communicate complex technical concepts clearly with international teams, stakeholders, and leadership.
• Strong analytical and critical‑thinking skills, with a pragmatic approach to solving complex business and technical challenges.

Responsibilities

• Data Science Leadership: Lead the design and implementation of data science initiatives, defining methodologies, technical approaches, and best practices across projects.
• Machine Learning & Modeling: Develop, evaluate, and optimize statistical and machine learning models to solve complex business problems and generate actionable insights.
• End-to-End Data Science: Own the complete data science lifecycle, including data exploration, feature engineering, model development, validation, deployment, monitoring, and continuous improvement.
• AWS & Cloud Solutions: Design and implement scalable data science and machine learning solutions leveraging AWS cloud services and best practices.
• Technical Leadership: Provide technical guidance to Data Scientists and other technical team members, promoting high‑quality engineering and analytical practices.
• Business Collaboration: Work closely with business stakeholders, product teams, data engineers, and software engineers to translate business challenges into effective data‑driven solutions.
• Model Performance & Optimization: Monitor model performance, identify opportunities for improvement, and ensure solutions remain accurate, scalable, and aligned with business objectives.
• Data Strategy: Contribute to the definition of data science strategies, analytical frameworks, and best practices that support long-term business growth.
• Knowledge Sharing: Mentor team members, conduct technical reviews, and promote knowledge sharing across the organization.

Skills

Python

SQL

Pandas

NumPy

Scikit-learn

Docker

Kubernetes

SageMaker

Tools

Pandas

NumPy

Scikit-learn

Docker

Kubernetes

SageMaker

Job description

Coderio is seeking a Senior Data Scientist Lead to join one of its international clients and drive design, development, and delivery of data science solutions that generate measurable business value.

The role blends hands-on data science with technical leadership, mentoring teammates, guiding architecture decisions, and collaborating with business and engineering stakeholders across AWS-based environments.