Sony Pictures

13 hours ago

AI Efficiency, Innovation & Automation Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Build end-to-end AI automation solutions that improve efficiency and decision-making for Sony’s LATAM Data Analytics & Business Insights team. Translate business needs into working prototypes, internal tools, dashboards, automations, and AI-enabled workflows, connecting front ends, APIs, and AWS-based data warehouse assets. Collaborate with Analytics, Data Science, Cloud Ops, DevOps, and InfoSec to operationalize deployments, document designs, and deliver measurable business value using Python, SQL, and modern AI techniques.

Location: Buenos Aires, Bogotá

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Develop automation solutions that streamline repetitive manual processes and build AI-enabled workflows using Python, APIs, approved generative AI capabilities, and cloud-based data assets.
•Design and build end-to-end solutions, including data ingestion, backend logic, APIs, user interfaces, dashboards, lightweight web applications, internal tools, and deployment-ready prototypes.
•Work hands-on with AWS-based data warehouses to query, transform, integrate, and prepare data for AI and business-facing solutions using reusable SQL queries and data workflows.
•Partner with Analytics and Data Science teams to integrate analytics assets, predictive model outputs, and business logic into tools, workflows, dashboards, and AI-enabled solutions.
•Coordinate with Cloud Operations, DevOps, Information Security, and technology governance for deployment readiness and operationalization, including preparing technical documentation and diagrams.

Key Requirements

•Bachelor’s or advanced degree in Computer Science, Data Science, Engineering, Information Systems, Statistics, Business Analytics, or a related quantitative/technical field.
•Fluent Spanish and English required; Portuguese is a plus.
•2 to 4 years of professional experience in full-stack development, analytics engineering, data automation, AI solution development, data engineering, business intelligence engineering, or related roles.
•Strong proficiency in Python and SQL; experience with JavaScript/TypeScript and frameworks such as React, Node.js, Flask, FastAPI, Streamlit, or Dash is a strong plus.
•Hands-on experience with AWS-based data platforms/data warehouses (e.g., Redshift, S3, Glue, Athena, Lambda, SageMaker) and working knowledge of generative AI/LLMs (prompt engineering, semantic search, embeddings, vector search, RAG).

Experience:2-4 years

Education:Bachelor's

Skills:Business curiosityAgilityPractical innovation mindsetTechnical executionDocumentation

Languages:SpanishEnglishPortuguese

Tech Stack:PythonSQLJavaScriptTypeScriptReactNode.jsFlaskFastAPIStreamlitDashAWSRedshiftS3GlueAthenaLambdaSageMakerAPIsWorkflow automationCI/CD

Company Brief

Sony Pictures

Sony Pictures is a major film and television studio producing, financing, acquiring, and distributing motion pictures, television programming, and digital content globally across multiple labels and platforms.

Industry: Film & Television

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Culver City, United States

Founded: 1987

Website LinkedIn

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Sony Pictures

13 hours ago

AI Efficiency, Innovation & Automation Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Buenos Aires, Bogotá

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Develop automation solutions that streamline repetitive manual processes and build AI-enabled workflows using Python, APIs, approved generative AI capabilities, and cloud-based data assets.
•Design and build end-to-end solutions, including data ingestion, backend logic, APIs, user interfaces, dashboards, lightweight web applications, internal tools, and deployment-ready prototypes.
•Work hands-on with AWS-based data warehouses to query, transform, integrate, and prepare data for AI and business-facing solutions using reusable SQL queries and data workflows.
•Partner with Analytics and Data Science teams to integrate analytics assets, predictive model outputs, and business logic into tools, workflows, dashboards, and AI-enabled solutions.
•Coordinate with Cloud Operations, DevOps, Information Security, and technology governance for deployment readiness and operationalization, including preparing technical documentation and diagrams.

Key Requirements

•Bachelor’s or advanced degree in Computer Science, Data Science, Engineering, Information Systems, Statistics, Business Analytics, or a related quantitative/technical field.
•Fluent Spanish and English required; Portuguese is a plus.
•2 to 4 years of professional experience in full-stack development, analytics engineering, data automation, AI solution development, data engineering, business intelligence engineering, or related roles.
•Strong proficiency in Python and SQL; experience with JavaScript/TypeScript and frameworks such as React, Node.js, Flask, FastAPI, Streamlit, or Dash is a strong plus.
•Hands-on experience with AWS-based data platforms/data warehouses (e.g., Redshift, S3, Glue, Athena, Lambda, SageMaker) and working knowledge of generative AI/LLMs (prompt engineering, semantic search, embeddings, vector search, RAG).

Experience:2-4 years

Education:Bachelor's

Skills:Business curiosityAgilityPractical innovation mindsetTechnical executionDocumentation

Languages:SpanishEnglishPortuguese

Tech Stack:PythonSQLJavaScriptTypeScriptReactNode.jsFlaskFastAPIStreamlitDashAWSRedshiftS3GlueAthenaLambdaSageMakerAPIsWorkflow automationCI/CD

Company Brief

Sony Pictures

Industry: Film & Television

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Culver City, United States

Founded: 1987

Website LinkedIn