23 Ofertas de Algorithm Development en Colombia

3 days ago Be among the first 25 applicants

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a Data Science Consultant to join our remote team. This role is ideal for someone who is passionate about leveraging data to drive business solutions and is eager to lead projects from conception to completion. As a Data Science Consultant, you will be instrumental in transforming data into actionable insights that inform strategic decisions.

Responsibilities:

• Lead the design, development, and deployment of ML/AI solutions, providing technical leadership and strategic expertise
• Design and implement responsible AI systems, aligning solutions with client needs through thorough planning and measurement strategies
• Promote AI adoption across different verticals within the organization, envisioning new products and solutions
• Understand client business challenges and articulate how ML/AI solutions can address these challenges
• Collaborate with data scientists and engineers, leading teams with technical expertise and mentorship
• Stay updated with advancements in ML/AI technologies, recommending innovative approaches within regulatory frameworks
• Serve as a liaison among business, legal, and technology stakeholders, ensuring smooth transitions and clear communications
• Develop ML solutions, scope engagements, and lead project teams from sales to delivery
• Build and maintain strong client relationships, ensuring satisfaction and effective communication
• Engage with executive-level stakeholders to drive AI adoption across enterprises
• Support sales and pre-sales activities, including opportunity assessment, RFP responses, and proposal presentations

• Minimum 8 years of IT experience with significant expertise in Data Science
• Over 3 years in leadership roles such as Lead, Manager, or Architect within Agile or hybrid environments
• Experience in managing teams of at least 20 members
• Participation in at least 5 full-cycle projects or product launches
• Extensive leadership experience in Data Analytics, Machine Learning, and AI
• Proven ability to design and implement ML/AI solutions
• Deep knowledge of Machine Learning, including deep learning, statistics, and various ML models
• Ability to engage and influence senior stakeholders for project support or funding
• Strong ability to communicate complex technical concepts to diverse audiences
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
• Skilled in translating complex business requirements into practical ML/AI solutions
• Experience in regulated industries or regulatory technology functions
• Cloud platform experience (AWS, Azure, or GCP)
• Advanced level of English proficiency for effective communication and relationship building

• Additional certifications in Data Science or Machine Learning
• Experience in public speaking or conducting workshops on AI-related topics

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Mid-Senior level

Full-time

Information Technology, Engineering, and Research

Software Development, IT Services and IT Consulting, and Technology, Information and Internet

Join to apply for the Data Science Cohort Instructor role at TripleTen Indonesia

TripleTen is the #1 Bootcamp in the US and LATAM that empowers individuals, regardless of their prior experience, to embark on the exciting and challenging journey of mastering tech professions. Our bootcamps focus on training students in software engineering, data science, business intelligence analytics, and QA engineering in a feasible and accessible way, ultimately leading them to thrive in a new career.

Our mission is to ensure that every student has the opportunity to successfully master a new profession, find their purpose, and become a valuable member of the tech industry.

Who We're Looking For

We are seeking a Cohort Instructor to lead and support a cohort of students from onboarding through graduation. The Instructor will act as the primary point of contact for their students, combining teaching, mentorship, and project evaluation to ensure learners progress successfully. This role requires a balance of technical expertise, teaching ability, and community engagement. You’ll deliver live webinars, host 1:1 mentorship sessions, review projects (with support from AI grading tools), and foster collaboration and motivation within your cohort.

Please submit all resumes or CVs in English.

Please note that after applying for this position, you will be required to complete a test assignment after your Online Introductory Call.

What you will do

Cohort Leadership & Student Support

• Take ownership of your assigned cohort from day one until graduation.
• Conduct weekly project webinars that focus on supporting students with the sprint project.
• Provide 1:1 mentorship sessions (20–30 minutes) for project support, feedback clarification, and career coaching.
• Stay active in Discord channels: answer questions, moderate discussions, and share engaging content to keep students motivated.
• Hold regular office hours and respond to student inquiries within 24 hours.

Project Review & Feedback

• Oversee student project reviews by validating and moderating AI-generated feedback.
• Ensure grading outcomes are accurate, supplement automated responses with human insight, and highlight strengths and improvement areas.
• Track each student’s performance and identify those who may need extra support.
• Escalate recurring errors or systemic challenges to the teaching team.

Team Collaboration

• Join regular teaching team meetings and cohort check-ins.
• Share feedback on curriculum quality, platform usability, and student experience.
• Coordinate with colleagues to ensure coverage during absences and consistent student support.

Professional & Administrative Duties

• Keep accurate records of hours and activities.
• Collect student feedback after sessions and use insights to improve teaching practices.
• Uphold service standards: notify colleagues if you are unavailable and ensure backup support is in place.
• Occasionally contribute to career initiatives, marketing webinars, or external events as invited.

Requirements

• Strong technical background in Data Science
• Professional industry experience with proven ability to apply knowledge to real-world problems.
• Prior teaching, mentoring, or coaching experience strongly preferred.
• Excellent communication skills in Spanish (both written and spoken).
• Comfortable working in a fully remote, international environment.
• Familiarity with Discord or similar community tools is a plus.

What we can offer you

• The chance to make a real impact on students’ careers and lives.
• A collaborative, global team of professionals passionate about education and technology.
• Fully remote role with flexible scheduling.
• Payment of up to USD 2000 per month.

TripleTen Bogota, D.C., Capital District, Colombia

Join to apply for the Data Science Cohort Instructor role at TripleTen

TripleTen Bogota, D.C., Capital District, Colombia

1 day ago Be among the first 25 applicants

Join to apply for the Data Science Cohort Instructor role at TripleTen

TripleTen is the #1 Bootcamp in the US and LATAM that empowers individuals, regardless of their prior experience, to embark on the exciting and challenging journey of mastering tech professions. Our bootcamps focus on training students in software engineering, data science, business intelligence analytics, and QA engineering in a feasible and accessible way, ultimately leading them to thrive in a new career.

Our mission is to ensure that every student has the opportunity to successfully master a new profession, find their purpose, and become a valuable member of the tech industry.

Who we're looking for: We are seeking a Cohort Instructor to lead and support a cohort of students from onboarding through graduation. The Instructor will act as the primary point of contact for their students, combining teaching, mentorship, and project evaluation to ensure learners progress successfully.

This role requires a balance of technical expertise, teaching ability, and community engagement. You’ll deliver live webinars, host 1:1 mentorship sessions, review projects (with support from AI grading tools), and foster collaboration and motivation within your cohort.

Please submit all resumes or CVs in English.

Please note that after applying for this position, you will be required to complete a test assignment after your Online Introductory Call.

• Cohort Leadership & Student Support
  • Take ownership of your assigned cohort from day one until graduation.
  • Conduct weekly project webinars that focus on supporting students with the sprint project.
  • Provide 1:1 mentorship sessions (20–30 minutes) for project support, feedback clarification, and career coaching.
  • Stay active in Discord channels: answer questions, moderate discussions, and share engaging content to keep students motivated.
  • Hold regular office hours and respond to student inquiries within 24 hours.

• Project Review & Feedback
  • Oversee student project reviews by validating and moderating AI-generated feedback.
  • Ensure grading outcomes are accurate, supplement automated responses with human insight, and highlight strengths and improvement areas.
  • Track each student’s performance and identify those who may need extra support.
  • Escalate recurring errors or systemic challenges to the teaching team.

• Team Collaboration
  • Join regular teaching team meetings and cohort check-ins.
  • Share feedback on curriculum quality, platform usability, and student experience.
  • Coordinate with colleagues to ensure coverage during absences and consistent student support.

• Professional & Administrative Duties
  • Keep accurate records of hours and activities.
  • Collect student feedback after sessions and use insights to improve teaching practices.
  • Uphold service standards: notify colleagues if you are unavailable and ensure backup support is in place.
  • Occasionally contribute to career initiatives, marketing webinars, or external events as invited.

• Strong technical background in Data Science
• Professional industry experience with proven ability to apply knowledge to real-world problems.
• Prior teaching, mentoring, or coaching experience strongly preferred.
• Excellent communication skills in Spanish (both written and spoken).
• Comfortable working in a fully remote, international environment.
• Familiarity with Discord or similar community tools is a plus.

• The chance to make a real impact on students’ careers and lives.
• A collaborative, global team of professionals passionate about education and technology.
• Fully remote role with flexible scheduling.
• Payment of up to USD 2000 per month.

• Mid-Senior level

• Full-time

• Education and Training

• E-Learning Providers

Join to apply for the DATA SCIENCE CONSULTANT ISTANBU role at Management Solutions .

• You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, simulation models (Monte Carlo), review of credit rating and scoring models and quant support to the business and R&D projects.

• Recent graduates or final year students.
• Desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab) and big data tools and platforms (Hadoop, Hive, etc.).
• Solid academic record.
• Strong computer skills.
• Postgraduate studies and/or specialised courses are an asset, especially in Data Science, Quantitative Finance or similar.
• Knowledge of other languages is desirable.
• Get up and go attitude, maturity, responsibility and strong work ethic.
• Strong ability to learn quickly.
• Able to integrate easily into multidisciplinary teams.

• Working in the highest-profile consulting projects in the industry,
• for the largest companies, leaders of their respective markets,
• alongside top industry management as they face challenges at the national and global level,
• as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry.

• Ongoing training plan, with approximately 10% of business turnover spent in training.
• Specialist knowledge courses, external expert courses, professional skills courses and language courses.
• Last year our staff as a whole received over 375,000 hours of training spanning more than 150 courses.

• Clearly defined career plan
• Internal promotion based solely on merit
• Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners.

• University: we maintain a close relationship with the world’s most prestigious universities
• Social Action: we organize more than 30 community support activities.
• Sports Club: internal and external tournaments.

• Internship

• Full-time

• Information Technology

• Business Consulting and Services

Join to apply for the DATA SCIENCE CONSULTANT BOGOTÁ role at Management Solutions

2 years ago Be among the first 25 applicants

Join to apply for the DATA SCIENCE CONSULTANT BOGOTÁ role at Management Solutions

You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (Monte Carlo), Review of credit rating and scoring models and quant support to the business and R&D projects.

Requirements

• Final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields.
• Postgraduate studies and/or specialised courses are an asset, especially in Data Science, Quantitative Finance or similar.
• Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab) and big data tools and platforms (Hadoop, Hive, etc.).
• Solid academic record.
• Strong computer skills.
• Knowledge of other languages is desirable.
• Get-up-and-go attitude, maturity, responsibility and strong work ethic.
• Strong ability to learn quickly.
• Able to integrate easily into multidisciplinary teams.
  
  

• Working in the highest-profile consulting projects in the industry,
• for the largest companies, leaders of their respective markets,
• alongside top industry management as they face challenges at the national and global level,
• as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry
  
  

• Specialist knowledge courses, external expert courses, professional skills courses, and language courses.
• Last year our staff as a whole received over 375.000 hours of training, spanning more than 150 courses.
  
  

• Internal promotion based solely on merit.
• Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners.
  
  

• University: we maintain a close relationship with the world’s most prestigious universities.
• Social Action: we organize more than 30 community support activities.
• Sports Club: internal and external tournaments.

• Seniority level Internship

• Employment type Full-time

• Job function Information Technology
• Industries Business Consulting and Services

Referrals increase your chances of interviewing at Management Solutions by 2x

Bogota, D.C., Capital District, Colombia 2 weeks ago

Bogota, D.C., Capital District, Colombia 1 week ago

Bogota, D.C., Capital District, Colombia 2 weeks ago

Bogota, D.C., Capital District, Colombia 1 week ago

Bogota, D.C., Capital District, Colombia 4 hours ago

Bogota, D.C., Capital District, Colombia 3 weeks ago

Bogota, D.C., Capital District, Colombia 5 hours ago

Bogota, D.C., Capital District, Colombia 7 hours ago

Bogota, D.C., Capital District, Colombia 1 week ago

Bogota, D.C., Capital District, Colombia 23 hours ago

Bogota, D.C., Capital District, Colombia 1 week ago

Bogota, D.C., Capital District, Colombia 2 weeks ago

Bogota, D.C., Capital District, Colombia COP4,500,000.00-COP5,000,000.00 2 months ago

Bogota, D.C., Capital District, Colombia 2 months ago

Bogota, D.C., Capital District, Colombia 3 weeks ago

Bogota, D.C., Capital District, Colombia 1 year ago

Bogota, D.C., Capital District, Colombia 3 months ago

Bogota, D.C., Capital District, Colombia 4 days ago

Bogota, D.C., Capital District, Colombia 4 months ago

Bogota, D.C., Capital District, Colombia 2 months ago

Bogota, D.C., Capital District, Colombia 1 month ago

Bogota, D.C., Capital District, Colombia 3 days ago

Bogota, D.C., Capital District, Colombia 1 week ago

Bogota, D.C., Capital District, Colombia 6 months ago

Bogota, D.C., Capital District, Colombia 1 week ago

Bogota, D.C., Capital District, Colombia 5 days ago

Bogota, D.C., Capital District, Colombia 1 week ago

Bogota, D.C., Capital District, Colombia 2 weeks ago

Bogota, D.C., Capital District, Colombia 1 week ago

Bogota, D.C., Capital District, Colombia 2 weeks ago

Bogota, D.C., Capital District, Colombia 1 week ago

Bogota, D.C., Capital District, Colombia 1 week ago

Bogota, D.C., Capital District, Colombia 1 month ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

We’re Antenna, a data and analytics startup that aims to expand knowledge of subscriber behavior so brands can entertain, inspire, and empower the world. We provide industry and competitive benchmarks across key metrics so our customers can know ‘what good looks like’, market intelligence so they can learn how to build a best-in-class business, and insights to inform their strategic decisions making. Antenna is the market standard for subscription analytics.

We're looking for a talented Data Scientist with expert Python skills and experience in processing large amounts of data to join our team. You'll be a key player in designing, building, and making our main data pipelines and ML systems (that power our advanced analytics and machine learning models) able to handle more. You'll work closely with data scientists and engineers to create strong, efficient, and scalable systems. If you love solving complex technical problems, building production-ready data systems, and want to make a big impact on a data-driven company, this job is for you!

You will report to the Senior Manager, Data Science. Antenna is a remote-first company, and we are looking for candidates who can work during US business hours. Preferably, you should be based in a US time zone (Eastern, Central, Mountain, or Pacific).

What You’ll Do

• Design, develop, test, and maintain strong and scalable data pipelines using Python and tools for large-scale data processing (like Spark, Dask, or similar on GCP)
• Design and take ownership of key parts of our ML systems, making sure they are reliable, efficient, and can grow
• Set up and manage MLOps practices, including automatic updates for machine learning models (CI/CD), model monitoring, and automated launch plans
• Improve and manage data processing jobs on cloud platforms (GCP: Dataproc, BigQuery, Cloud Run, Cloud Build)
• Work with data scientists to get machine learning models ready for production and connect them to our data systems
• Write detailed documents for the system designs, code, and systems you create and manage
• Fix complex technical problems in data systems that run on many computers and in ML pipelines

Who You Are

• You have 3-5+ years of work experience in software engineering, with a strong focus on data engineering, ML engineering, or building applications that use a lot of data
• You are an expert in Python, with a strong understanding of object-oriented design, software system design, and experience building high-quality, testable code for production
• You have strong, hands-on experience with tools for handling large amounts of data like Apache Spark (PySpark), Dask, or similar
• You have solid experience with cloud platforms (GCP is highly preferred). This includes putting services live, managing them, making them handle more users (e.g., Docker, Cloud Run, GKE), and working with large data systems (e.g., Dataproc, BigQuery)
• You have strong SQL skills and experience working with large, complex datasets
• You have a deep understanding of machine learning ideas, the full process of creating a model, and MLOps principles
• You are an excellent problem-solver, good at fixing complex issues in systems that run on many computers, and making them perform better and handle more data
• You explain complex technical ideas and system design decisions clearly and effectively in English
• Advanced English proficiency (B2-C1); Excellent communication, teamwork, and consulting skills
• You are passionate about building strong, scalable systems and are eager to guide and work with a team
• You care deeply about code quality, system reliability, and writing good documentation

Bonus

• Experience in or passion for the Subscription Economy, especially in media and entertainment
• Deep knowledge of specific GCP services like Dataproc, Dataflow, Cloud Composer, Vertex AI, or Kubernetes Engine
• Experience building and maintaining Python code (libraries) used by many, or contributions to open-source projects
• Advanced knowledge of MLOps tools and ways to manage workflows (e.g. Cloudbuild, CloudRun)

Antenna's Tech Stack (Required Proficiency)

• Languages: Python (expert), SQL (strong)
• Large-Scale Data Processing: Apache Spark/PySpark (or similar like Dask)
• Cloud Platform: Google Cloud (Dataproc, BigQuery, Cloud Storage, Cloud Run, Cloud Build, GKE - strong experience expected)
• Version Control: Git (expert)
• MLOps & Orchestration: Familiar with tools like Airflow, Kubeflow, Vertex AI Pipelines
• Containerization: Docker, Kubernetes
• Data Analysis Libraries: Pandas, NumPy (very good with these)
• Machine Learning: scikit-learn, TensorFlow/PyTorch (understand how to get them to production)
• AI Tools: Claude, Gemini, OpenAI offerings

Antenna Benefits

• Work from anywhere, during US business hours
• Competitive compensation, including participation in Antenna equity program
• Mentorship from experienced executives
• Opportunity to grow and impact a rapidly growing start up
• Travel to In-person team off-sites (visa-permitting)
• And more!

Antenna is the leading provider of data and analytics for the U.S. Subscription Economy. Our standardized metrics, competitive benchmarks, syndicated insights, and market intelligence are used by some of the most trusted brands across media and entertainment sectors to better understand subscriber behavior and successfully navigate the rapidly changing consumer subscription landscape.

Founded in 2019 by Jonathan Carson, a successful serial entrepreneur with deep roots in data and analytics, and Rameez Tase, a seasoned executive in media and analytics, Antenna’s mission is supported by top investors with global expertise in media and technology: Raine Ventures, BDMI, UTA Ventures, and many more. Antenna is powered by a dedicated group of individuals who are intellectually curious, passionate about service, and committed to supporting the needs of Antenna clients and each other every day. As a small remote-first team, Antenna team members have the opportunity to work alongside senior leaders and professionally grow with an early-stage team.

TripleTen Bogota, D.C., Capital District, Colombia

Join to apply for the Data Science Teaching Experts LATAM role at TripleTen .

TripleTen Bogota, D.C., Capital District, Colombia

1 week ago Be among the first 25 applicants

Por favor, envía tu CV en inglés.

• There are three teaching roles for students: Tutores , Instructores and Revisores de Código .
• The Tutores support students by answering questions and providing practical guidance through:
• Realización de webinars en vivo (una o dos veces por semana).
• Chats con los estudiantes.
• Sesiones de codificación en vivo (una sesión cada dos semanas).

Este rol requiere 12 a 15 horas de disponibilidad, con énfasis en el horario de 7pm a 10pm hora CDMX (lunes a viernes).

• Instructor : ayudar a los estudiantes a resolver dudas sobre el contenido del programa y guiarlos a través de ejercicios y proyectos. Debes:
• Asistir a los estudiantes vía Discord, en canales escritos y de voz.
• Realizar sesiones de preguntas y respuestas (Q&A).

Este rol requiere 12 a 15 horas de disponibilidad, con énfasis en el horario de 7pm a 10pm hora CDMX (lunes a viernes).

• Revisor de Código : revisarás los proyectos de los estudiantes y proporcionarás retroalimentación. La comunicación con los estudiantes se realiza a través de chat .

Este rol es flexible y requiere hasta 30 horas de disponibilidad por semana, de lunes a viernes. Y lo más importante: ¡serás una fuente de inspiración para tus estudiantes!

• Más de 2 años de experiencia trabajando como científico de datos.
• Experiencia trabajando como analista utilizando Python.
• Experiencia de más de un año trabajando en proyectos de aprendizaje automático (machine learning).
• Familiaridad con las librerías Pandas, NumPy, Matplotlib, Sklearn.
• Inglés intermedio, español nativo o avanzado.

• Capacitación en técnicas de mentoría y comunicación.
• La posibilidad de enseñar mientras desempeñas tu trabajo principal.
• Compartir experiencia con desarrolladores dentro de nuestra comunidad.
• Ingresos promedio de $700 a $1500 USD al mes por una colaboración flexible de medio tiempo, con gran impacto ¡y un equipo increíble!
• Experiencia de colaboración intercultural en mentoría y realización de webinars.
• Cooperación remota con un horario conveniente tanto para ti como para el equipo. No nos enfocamos en la microgestión.
• Una oficina digital cómoda. Utilizamos herramientas digitales modernas — Miro, Notion, Zoom, etc. — para que el trabajo conjunto sea fluido.
• Un equipo diverso y unido, distribuido entre EE.UU. y América Latina.

• Mid-Senior level

• Full-time

• Education and Training

• E-Learning Providers

Referrals increase your chances of interviewing at TripleTen by 2x

Get notified about new Teaching Specialist jobs in Bogota, D.C., Capital District, Colombia .

Overview

Data Science, AI Safety Research role at TaskUs. This position focuses on applying statistical rigor, analytics, and data-driven methods to safety research for AI systems.

TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies. We support clients across social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech with a cloud-based infrastructure. The People First culture has enabled growth to approximately 45,000 employees globally, with a presence in twenty-three locations across twelve countries including the Philippines, India, and the United States.

We focus on growth through a culture of momentum, adopting new technologies, handling challenges quickly, and maintaining consistency in a changing world. We offer competitive industry salaries, comprehensive benefits, and a People First culture with internal mobility and professional growth opportunities.

Researchers invent safety methods and delivery teams deploy them; you will provide data to prove their effectiveness. You will bring statistical rigor and analytical firepower to benchmarks, red-team exercises, and client rollouts. Your models, dashboards, and experiments will show customers where risks lie and how interventions move the needle.

• Quantify safety: Transform evaluation outputs into metrics, confidence intervals, and risk scores that guide client decisions.
• Accelerate research: Provide rapid statistical feedback to help researchers iterate on alignment, robustness, and interpretability ideas.
• Strengthen delivery: Build data pipelines and visualizations for real-time visibility into project health for Solutions and Operations teams.

• Own analytics pipelines for jailbreak detection rates, toxicity scores, drift signals, and other safety KPIs—ETL through presentation.
• Design A/B and sequential tests to measure the impact of prompt tweaks, fine-tuning, or policy changes on model behavior.
• Develop risk models and dashboards in Python (Pandas, NumPy, Plotly, Streamlit) backed by scalable storage (BigQuery, Redshift, or similar).
• Collaborate with Researchers to choose statistical methods, validate assumptions, and publish reproducible notebooks alongside papers.
• Partner with Solutions Engineering to embed metrics in client reports and define data requirements for new engagements.
• Automate reporting: Build CI hooks or Airflow jobs so safety scores refresh with each new model drop or data batch.
• Stay current: Evaluate new safety benchmarks, open-source metric libraries, and MLOps practices; recommend adoption where useful.

• 3-5 years in data science, analytics engineering, or applied statistics—ideally in AI/ML or risk domains.
• Proven track record turning messy, high-volume data into actionable insights and visualizations for stakeholders.
• Solid understanding of machine-learning evaluation workflows; exposure to large language model outputs is a plus.
• Hands-on experience with Python data stack (Pandas, NumPy, SciPy, scikit-learn) and SQL—or equivalents in Spark/BigQuery.
• Familiarity with experiment design, hypothesis testing, and causal inference techniques.

• Statistical rigor: power analysis, significance testing, bootstrap, Bayesian methods.
• Data engineering basics: ETL, data validation, versioning, scalable storage.
• Visualization and storytelling: interactive dashboards and clear narratives for technical and executive audiences.
• Scripting and automation: maintainable code, pipelines, and CI/CD integration.
• Collaboration: work with researchers, engineers, and client-facing teams under tight timelines.

Experience with MLflow or Weights & Biases, privacy-preserving analytics, or familiarity with NIST RMF / EU AI Act metrics.

• Work remote
• Immediate impact: your analyses steer decisions for frontier AI deployments weeks after you write them.
• Breadth of problems: from toxicity scoring to drift detection, no two problems are the same.
• Growth runway: define the data science discipline for AI Safety at TaskUs and grow into a senior or lead role as the team scales.

Help ensure the world’s most powerful models behave safely and fairly.

TaskUs is an equal opportunity workplace and an affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you need reasonable accommodations in any part of the hiring process, please let us know. We will not solicit money or require payment to proceed with your application; apply through the official TaskUs careers page:

Req Id: R_2508_10812

TripleTen es un servicio que empodera a las personas, sin importar su experiencia previa, para embarcarse en el emocionante y desafiante camino de dominar profesiones tecnológicas. Nuestros bootcamps se enfocan en capacitar a los estudiantes en Análisis de datos, Ciencia de datos, Desarrollo web y Ingeniería de aseguramiento de calidad (QA) y Diseño UX/UI de una manera accesible y viable, llevándolos finalmente a prosperar en una nueva carrera.

Nuestra misión es garantizar que cada estudiante tenga la oportunidad de dominar con éxito una nueva profesión, encontrar su propósito y convertirse en un miembro valioso de la industria tecnológica.

¿Cuál es nuestro objetivo?

Estamos en búsqueda continua de profesionales con experiencia en Ciencia de datos, para acompañar y ayudar a nuestros estudiantes a convertirse en desarrolladores profesionales. Puedes unirte a nosotros a tiempo parcial, dedicando de 10 a 30 horas por semana, según tu disponibilidad.

Postúlate aquí — revisamos las solicitudes de manera continua e invitamos a los candidatos seleccionados a grabar un video respondiendo algunas preguntas y a realizar una tarea de prueba. Si hay una vacante disponible, te la asignaremos de inmediato; si no, guardaremos tu perfil y la tarea completada para futuras oportunidades.

Por favor, envía tu CV en inglés.

Hay tres roles de enseñanza para los estudiantes: Tutores, Instructores y Revisores de Código .

Los Tutores apoyan a los estudiantes respondiendo sus preguntas y brindando orientación práctica a través de:

• Realización de webinars en vivo (una o dos veces por semana).
• Chats con los estudiantes.
• Sesiones de codificación en vivo (una sesión cada dos semanas).

Este rol requiere 12 a 15 horas de disponibilidad, con énfasis en el horario de 7pm a 10pm hora CDMX (lunes a viernes).

Como Instructor , tu misión es ayudar a los estudiantes a resolver todas sus dudas sobre el contenido del programa y guiarlos a través de ejercicios y proyectos. Tú:

• Asistirás a los estudiantes vía Discord, en canales escritos y de voz.
• Realizarás sesiones de preguntas y respuestas (Q&A).

Este rol requiere 12 a 15 horas de disponibilidad, con énfasis en el horario de 7pm a 10pm hora CDMX (lunes a viernes).

Como Revisor de Código , revisarás los proyectos de los estudiantes y proporcionarás retroalimentación. La comunicación con los estudiantes se realiza a través de chat .

Este rol es flexible y requiere hasta 30 horas de disponibilidad por semana, de lunes a viernes.

Y lo más importante: ¡serás una fuente de inspiración para tus estudiantes!

• Más de 2 años de experiencia trabajando como científico de datos.
• Experiencia trabajando como analista utilizando Python.
• Experiencia de más de un año trabajando en proyectos de aprendizaje automático (machine learning).
• Familiaridad con las librerías Pandas, NumPy, Matplotlib, Sklearn.
• Inglés intermedio, español nativo o avanzado.

• Capacitación en técnicas de mentoría y comunicación.
• La posibilidad de enseñar mientras desempeñas tu trabajo principal.
• Compartir experiencia con desarrolladares dentro de nuestra comunidad.
• Ingresos promedio de $700 a $1500 USD al mes por una colaboración flexible de medio tiempo, con gran impacto ¡y un equipo increíble!
• Experiencia de colaboración intercultural en mentoría y realización de webinars.
• Cooperación remota con un horario conveniente tanto para ti como para el equipo. No nos enfocamos en la microgestión.
• Una oficina digital cómoda. Utilizamos herramientas digitales modernas — Miro, Notion, Zoom, etc. — para que el trabajo conjunto sea fluido.
• Un equipo diverso y unido, distribuido entre EE.UU. y América Latina.