30 Ofertas de Microsoft Certified: Data Analyst Associate en Antioquia

About the role:

We're looking for a driven and innovative Data Scientist passionate about

understanding and shaping consumer demand. In this role, you'll go beyond

traditional forecasting — you'll take existing demand forecasts and build what-if

simulation models to quantify how pricing, promotions, and other commercial

levers affect demand and business outcomes.

Your work will directly empowerstrategic decisions, helping teams anticipate the future and simulate scenarios that maximize value and minimize risk.

If you're eager to shine, take ownership, and let the excellence of your work speak

for itself, this is the place for you.

What You'll Do

-Model demand dynamics: Leverage historical data and existing forecasts

to simulate the impact of promotions, pricing strategies, and marketing

actions on future demand.

-Run what-if analyses: Design and execute scenario models to test how

changes in price, discount depth, timing, or promotional mechanics could

influence demand and margin performance.

-Integrate insights: Combine statistical and machine learning approaches

to quantify uplift and elasticity across diverse product categories and stores.

-Enhance forecast intelligence: Partner with forecasting team to enrich

forecasts with promotion and pricing effects, ensuring improved accuracy

and business relevance.

-Validate and stress-test: Evaluate the robustness of what-if models

under different market conditions and validate against real-world results.

-Data reliability: Guarantee the quality, consistency, and integrity of the

datasets and pipelines powering your models.

-Deploy & scale: Implement scalable, automated workflows to deploy,

monitor, and retrain simulation models in production environments.Collaborate cross-functionally: Work closely with customer success, data

engineering and infrastructure teams to translate business questions into

analytical frameworks and actionable insights and product features.

Qualifications

- Experience & Expertise

- 3+ years of professional experience as a Data Scientist or in a

related quantitative field.

- Proven experience (2+ years) in promotion impact analysis, what-

if models, and price modeling.

- Hands-on experience developing and deploying ML models in Python.

- Exposure to what-if modeling, elasticity estimation, and causal

inference techniques (e.g., uplift modeling, treatment/control

analysis, counterfactual simulation) is a strong plus.

- Solid understanding of statistical modeling, time series

forecasting, and simulation frameworks.

-Intermediate proficiency in technical English is desirable.

-Technical Skills

-Strong SQL skills and comfort working with large, complex datasets.

-Solid experience with at least one major cloud platform (AWS or

GCP).

-Familiarity with MLOps practices, CI/CD and containerization tools

(e.g., Docker) is a plus.

-Exposure to microservices and distributed systems for scalable

model deployment.

-Mindset & Ways of Working

-Ability to take ownership, deliver consistently, and meet

commitments with autonomy.

-Strong commitment to best practices in coding, testing, and

documentation.

-A positive can-do attitude and growth-oriented mindset with

the resilience to tackle complex challenges.

-Excellent teamwork, communication, and interpersonal skills —

able to explain complex ideas simply.

100% Remote work

Tipo de puesto: Tiempo completo

Buscamos Data Scientist

En Archie Labs hemos reinventado la creación de software desde cero, partiendo de principios básicos e integrando la IA en el núcleo de todo lo que hacemos.

Estamos buscando a un Data Scientist que quiera participar en proyectos con IA generativa de otro nivel.

Debes tener, mínimo, 5 años de experiencia trabajando con proyectos de IA.

Experiencia significativa en detección de objetos (requerido)

Nivel de inglés B2 (preferible)

Esta posición es fija pero si eres freelance y trabajas por horas también te puedes postular.

Aplica para todo LATAM.

Ofrecemos:

Trabajo 100% remoto desde cualquier lugar.

Pagamos en dólares estadounidenses.

40 USD BYOD.

Disfruta de todos los días festivos en tu país.

10 días de pago de vacaciones (PTO).

Participación en proyectos regionales innovadores y de alto impacto.

Cultura centrada en las personas, con autonomía y aprendizaje continuo.

En RapiCredit buscamos un/a Growth Data Scientist que integre la analítica avanzada con las estrategias de marketing y crecimiento. Serás responsable de transformar datos en conocimiento accionable, diseñando modelos, métricas y dashboards que optimicen la adquisición, retención y monetización de nuestros usuarios.

Responsabilidades principales

• Diseñar y dar seguimiento a métricas clave de marketing y growth (CAC, LTV, churn, retención, ROAS).
• Analizar y optimizar la inversión publicitaria mediante modelos de atribución y Marketing Mix Modelling.
• Construir dashboards interactivos y reportes automatizados en herramientas de BI.
• Desarrollar modelos predictivos para churn, segmentación y LTV.
• Ejecutar experimentos de A/B testing y proponer mejoras en la experiencia de usuario.
• Garantizar la calidad, integridad y seguridad de los datos.
• Colaborar con equipos de negocio y TI para impulsar decisiones data-driven.

Requisitos

• Titulado en Matemáticas, Estadística o Ingeniería Industrial.
• Mínimo 3 años de experiencia como analista /científico de datos o roles afines.
• Dominio de SQL, MySQL, R, Python y Power BI.
• Dominio de R y Python
• Experiencia en minería de datos, dashboards de BI y marketing analytics.
• Conocimiento en growth hacking y herramientas como GA4, Amplitude, Mixpanel o Segment.
• Inglés técnico básico-intermedio.

Valoramos especialmente

• Capacidad para manejar grandes volúmenes de datos con eficiencia.
• Habilidad para generar insights accionables y comunicarlos efectivamente.
• Experiencia en automatización de procesos y escalabilidad de soluciones de datos.
• Actualización constante en tendencias de analítica y marketing.

Lo que ofrecemos

• Oportunidad de impacto
• Entorno de innovación

Híbrido 3 en oficina 2 H.O

Tipo de puesto: Tiempo completo, Indefinido

Escolaridad:

• Licenciatura terminada (Deseable)

Experiencia:

• analista de datos: 2 años (Obligatorio)
• SQL, MySQL, R, Python: 2 años (Obligatorio)
• Power BI, Looker Studio, Tableau: 2 años (Obligatorio)
• métricas clave de growth: CAC, LTV, ROAS, churn,etc: 2 años (Obligatorio)
• analista de datos o cargos afines: 3 años (Obligatorio)

Idioma:

• Inglés (Deseable)

Company Description

At Kyneticx, we help organizations unlock the power of their data and elevate customer experiences. Our expertise spans data integration, advanced analytics, and AI-driven solutions designed to connect systems, surface insights, and drive measurable impact. Our mission is simple: transform data into clarity and customer experience into competitive advantage.

Role Description

This is a full-time hybrid role for a Lead Data Scientist located in Medellín, with some flexibility for remote work. The Lead Data Scientist will be responsible for leading data science projects, conducting advanced data analysis, implementing data integration and AI-driven solutions, developing data visualizations, and collaborating with cross-functional teams to drive data-driven insights and strategies. The role involves analyzing complex data sets, building predictive models, and providing actionable recommendations to enhance customer experiences and achieve business objectives.

Qualifications

• Proficiency in Data Science and advanced Data Analysis skills
• Strong foundation in Statistics and Data Analytics
• Experience in Data Visualization and presenting data-driven insights
• Excellent problem-solving and analytical skills
• Ability to lead and collaborate with cross-functional teams
• Experience with AI-driven solutions and data integration is a plus
• Master's or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field

PRGX is looking for a highly skilled and motivated Senior Data Scientist with deep expertise in Generative AI to join our global AI & Data Science team. In this role, you will lead the design, development, and deployment of cutting-edge generative models to solve real-world problems. You’ll be a key driver of innovation, collaborating with cross-functional teams including engineering, product management, and research to deliver impactful AI-driven solutions.

Although the AI leadership is based in the U.S., this position is open for remote work from Colombia, and you will play an integral role in our global initiatives.

• Design, develop, and deploy Generative AI models, with a focus on text generation, semantic entity extraction, and knowledge-based AI systems.

• Identify business challenges and translate them into scalable, data-driven solutions using advanced AI techniques.

• Provide technical leadership and mentorship to junior data scientists and interns.

• Stay current with the latest advancements in Generative AI, including techniques such as RAG, fine-tuning LLMs, prompt engineering, Graph RAG, and knowledge graphs.

• Partner with engineering and product teams to integrate models into production environments.

• Develop and maintain thorough documentation of models, algorithms, and development processes.

• Ensure all solutions meet standards for performance, quality, and data security.

• Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

• Master’s degree in Computer Science, Mathematics, Statistics, or a related field.

• Ph.D. is a strong plus.

• 3–5 years of hands-on experience as a Data Scientist or Machine Learning Engineer, with a proven track record of implementing Generative AI models in production environments.

• Solid understanding of ML and DL principles, including transformer architectures , probabilistic modeling , and natural language processing .

• Proficient in Python and frameworks such as PyTorch , TensorFlow , JAX , Scikit-learn , and Keras .

• Experience with FastAPI , RESTful APIs, and building scalable data pipelines.

• Familiarity with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and CI/CD tools (e.g., Jenkins).

• Strong knowledge of version control systems, particularly Git.

• Excellent collaboration and communication skills.

• Experience mentoring and supporting junior team members.

• Opportunity to work on cutting-edge AI solutions with a global team.

• Competitive compensation and benefits package above Colombian legal standards.

• Be part of an innovative and growing company at the forefront of AI in business.

Descripción de la empresa
En
Visión Gerencial
ayudamos a empresas a recuperar su cartera con innovación, tecnología y calidez humana. Creemos en servir con amor, crecer con propósito y construir un lugar feliz para trabajar.

Descripción del puesto
Como Analista de Datos en VISIÓN GERENCIAL, serás responsable de la recopilación, análisis e interpretación de datos para soportar la toma de decisiones estratégicas. Tus tareas diarias incluirán la creación de reportes, visualización de datos y la identificación de tendencias y patrones en la información. Este es un puesto de tiempo completo y se realizará de manera presencial en nuestras oficinas ubicadas en Medellín.

Requisitos

• Experiencia en análisis de datos y capacidad para interpretar y presentar resultados de manera clara.
• Dominio de herramientas de visualización de datos, como Tableau o Power BI.
• Conocimiento en el uso de SQL para consultas y manejo de bases de datos.
• Habilidades adicionales como el pensamiento crítico, atención al detalle y buena comunicación serán muy valoradas.

We are looking for a Data Analyst & Project Coordinator in Medellín
Are you passionate about data, insights, and project coordination?

Join our team and take your career to the next level while working with international standards and enjoying great benefits

Responsibilities

• Develop and maintain a deep understanding of industry and hiring trends.
• Identify potential client companies and hiring authorities in targeted industries.
• Prepare and send mass emails to hiring managers promoting key candidates.
• Document and update information about companies and candidates in the database.
• Source, recruit, and deliver high-quality candidates using research, job boards, data sourcing tools, referrals, and networking.
• Collect and analyze large datasets to identify patterns and trends.
• Interpret data to provide insights that support business decision-making.
• Build and maintain data models, reports, and dashboards.
• Support marketing campaigns with accurate data and reporting.
• Create post-campaign reports for marketing initiatives.

Requirements

• Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, or related field (preferred).
• 3+ years of experience in similar roles.
• Proficiency in SQL and Excel.
• Experience with data visualization tools (Tableau, PowerBI, QlikView).
• Strong communication and interpersonal skills to present data insights to non-technical stakeholders.
• Knowledge of Python or R (plus).
• Advanced level of English, both oral and written (B2/C1).
• Ability to manage multiple tasks in a fast-paced environment.

Skills

• Analytical mindset and problem-solving.
• Excellent teamwork and adaptability.
• Detail-oriented with strong organizational skills.
• Self-starter, proactive, and results-oriented.

Conditions

• Location: Medellín, Colombia (100% on-site)
• Shift: Monday to Friday, 8:00 a.m. to 5:00 p.m.
• Contract: Indefinite term
• Salary: To be agreed upon based on experience

Benefits

• Indefinite term contract.
• Half day paid on your birthday.
• Annual loyalty bonus.

Apply now and be part of a results-driven, dynamic, and collaborative team