4.746 Ofertas de Data Scientist en Colombia

Requisition ID:

Thanks for your interest in ScotiaTech, Scotiabank's new and innovative Technology hub in Bogota.

Join a purpose driven winning team that promotes creativity and innovation in a fast-paced environment, where we're always committed to results, in an inclusive, diverse, and high-performing culture.

Purpose
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Data Science role contributes to the overall success of the Fraud Management Group Globally ensuring specific individual goals, plans, initiatives are executed/delivered in support of the team's business strategies and objectives. Ensure all activities conducted are within compliance of governing regulations, internal policies, and procedures.

Accountabilities

• Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
• Collaborate with stakeholders including Operations, Analytics and Data Science partners, as well as Scotia Digital and IT&S partners to identify opportunities and drive business value in reducing fraud risks by leveraging Data Science
• Leverage distributed computing tools (e.g. Beam, BigQuery, Hive, Spark) for analysis, data mining and modeling
• Collaborate with technology / engineering, analytics, and operational teams to deploy fraud detection and prevention models and algorithms in production across different products and channels
• Create and apply model validation strategies to measure model effectiveness, conduct A/B testing, and make ongoing enhancements
• Prepare detailed documentation to outline data sources, models and algorithms used and developed
• Present results to business line stakeholders and help implement real data-driven changes
• Understand how the Bank's risk appetite and risk culture should be incorporate into in day-to-day activities and decisions.
• Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank's Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
• Champions a high-performance environment and contributes to an inclusive work environment.

Dimensions

• Relationship with all the employees of Scotiabank Uruguay, Scotiatech and the Bank.
• Information Security Standards and frameworks (ISO27001, NIST CSF, PCI-DSS)
• Enterprise Risk Management
• Technology (Infrastructure, Cloud, Networking, Datacenter)
• Application Security.

Education / Experience / Other Information

• Experience with machine learning, statistical techniques, as well as model testing and validation
• Experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, audio, image)
• Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
• Programming skills in Python, Java or Scala
• Hands-on experience with Big Data ecosystem tools (e.g., Beam, BigQuery, Hive, Spark) preferred
• Experience with UNIX tools and shell scripting preferred
• Expertise with Docker or Kubernetes is an asset
• Experience with various services on Google Cloud Platform is an asset
• Experience deploying models into productions as streaming application, Rest APIs, batch jobs or dashboards is an asset
• Experience with Deep Learning architectures like RNNs and CNNs is highly desirable
• Experience using and implementing visualization tools is an asset
• Knowledge of industry trends regarding fraud and experience in fraud detection and prevention is an asset
• Experience working with cross-functional team in an Agile environment is an asset
• Bilingual English/Spanish language skills (B2 English level)

• Must to have:

• 8+ years of software engineering industry experience

• Experience building, architecting, designing, and implementing highly distributed global based systems. Experience in network infrastructure, security, data, or application development.
• Must be a leader with excellent interpersonal, communication, and negotiation skills to build consensus and obtain co-operation from development teams and technology engineering leaders.
• Disciplined in development methodology and familiar with software development technologies and concepts.
• Practical experience with systems design and specification for large scale applications.
• Knowledge of object-oriented programming and other programming paradigms
• Knowledge and experience using software design patterns
• Knowledge of architectural styles
• Experience with defining and governing the Software Development Lifecycle (SDLC)
• Experience designing and implementing APIs
• Proficiency in English at a minimum of B2 level
• Proficiency in one of the following: JS-TS React, Java, Kotlin, Node, Python, Native Applications, or equivalent.

• B1 level of English.

• Soft sklills:

• Expert analytical and conceptual thinking skills, using creativity and attention to detail to develop testing solutions that help proactively uncover issues, find bugs and assess product with the end user in mind.

• Strategic thinking ability enabling the selection of optimal testing solutions (smart vs mass testing)
• The individual requires superior oral and written communication skills and proven ability to: make presentations to varied groups; deal with all levels of line management up to the Executive Vice-President (individually or in committee); and conveying clear and compelling project artifacts.

• Openness to ideas, willingness to take on any task or role, focus on the customer, and a constant view of the big picture.

• Preferable:

• Experience in modernizing legacy systems or similar transformational initiatives

• Experience with structured architectural practices, hybrid cloud deployments, and the planning and execution of on-premises to cloud migration.

Working Conditions
Work in a standard office-based environment; non-standard hours are a common occurrence.

When required, non-standard office working hours for scheduled implementations or while on rotational 24x7 on-call support.

Hybrid work environment in a standard office-based environment and work from home; non-standard hours are a common occurrence; Limited travel internationally

Location(s): Colombia : Bogota : Bogota

ScotiaTech is a business unit within ScotiaGBS, a Scotiabank Group company located in Bogota, Colombia. The ScotiaTech hub was created to support different technology systems and processes of the Bank. We offer an inclusive, positive work environment, and competitive benefits.

At ScotiaTech, we value the unique skills and experiences each individual brings and are committed to creating and maintaining an inclusive and accessible environment for everyone. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at ScotiaTech; however, only those candidates who are selected for an interview will be contacted.

Estamos innovando la logística y esto lo hemos logrado gracias a un equipo de personas visionarias, con ganas de crecer y cambiar el mundo.

En Skydropx encontrarás un espacio para desarrollar tu carrera dentro de un ambiente laboral dinámico, ambicioso y multicultural.

Responsabilidades:

• Buscamos un/a Data Scientist con sólidos conocimientos en Python, redes neuronales y machine learning, enfocado/a en el diseño, desarrollo y mantenimiento de modelos predictivos.
• Esta posición es responsable de asegurar la calidad, escalabilidad, optimización y efectividad de los modelos en entornos de alto volumen de datos.

Requisitos:

• Formación Académica:

• Licenciatura o ingeniería en: Sistemas, Computación, Matemáticas Aplicadas, Estadística, Ciencia de Datos o carreras afines.

• Deseable: especialización en Machine Learning, detección de fraude o analítica predictiva.

• Indispensable: Inglés B2 o superior.

• Herramientas:

• Lenguajes de programación: Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow).

• Machine Learning: Modelado supervisado y no supervisado (árboles de decisión, boosting, redes neuronales, clustering, embeddings).

• Fraude y riesgo: Experiencia en detección de anomalías, análisis de grafos (graph analysis), entity resolution y redes de similitud.

• Bases de datos: SQL (BigQuery, PostgreSQL).

• Cloud Computing: Experiencia en Google Cloud Platform (Vertex AI, BigQuery ML, Pub/Sub, Dataflow).

• MLOps: MLflow, Kubeflow o Vertex AI Pipelines para entrenamiento y despliegue continuo.

Visualización y reporting: Looker, Power BI o herramientas equivalentes.

• Experiencia Deseable:

• Desarrollo de modelos de fraude o riesgo crediticio en fintech, e-commerce o logística.

• Aplicación de graph machine learning para detección de comunidades o relaciones sospechosas.

• Integración de modelos con sistemas productivos (APIs, microservicios).

• Predicción de ingresos, demanda o facturación.

• Manejo de datasets masivos y de alta cardinalidad.

• Competencias Blandas:

• Pensamiento analítico y orientación a resultados.

• Capacidad para traducir hallazgos técnicos en valor de negocio.

• Autonomía y proactividad en la resolución de problemas.

• Colaboración efectiva en equipos multidisciplinarios.

• Plus Valorado:

• Experiencia en NLP (Natural Language Processing) utilizando NLTK o Hugging Face Transformers.

• Desarrollo de chatbots con APIs de LLMs (OpenAI, Gemini, Anthropic, etc.).

Ofrecemos:

• Misión a nivel regional: lograr que los negocios de LATAM se despreocupen de su logística.
• Salario: Competitivo y negociable según experiencia, habilidades y resultados del proceso de contratación.
• Esquema: 100% remoto.

• Horario: Lunes a Viernes 9:00 a 19:00 CST (México).

• Con flexibilidad de horario cuando haya nuevos releases.

• Crecimiento y desarrollo profesional.

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.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist (PriceElasticity/ML) in Latin America.

Join a high-impact project in the retail and consumer packaged goods industry, leveraging AI and machine learning to optimize pricing, promotions, and demand forecasting. In this senior-level role, you will design, validate, and implement models that quantify consumer response to price changes, helping businesses maximize revenue and improve planning decisions. You will collaborate with cross-functional teams to translate complex data into actionable insights and integrate AI-driven prototypes into production. This is a fully remote role offering autonomy, technical ownership, and the opportunity to make a tangible impact on real-world retail and CPG operations across Latin America.

Accountabilities

• Model and measure price elasticity of demand across products, categories, and customer segments.
• Develop and test AI/ML models that integrate elasticity coefficients into pricing, promotions, and demand forecasting scenarios.
• Analyze structured and unstructured retail data to uncover trends and quantify consumer sensitivity to price changes.
• Apply statistical, econometric, and causal inference techniques to simulate what-if pricing strategies.
• Build, iterate, and deploy prototypes and POCs that translate elasticity insights into actionable business tools.
• Present findings clearly through data visualization and storytelling to influence both technical and business stakeholders.
• Collaborate with engineering and product teams to integrate data-driven solutions into production environments.

• Bachelor's degree or higher in Econometrics, Operations Research, Applied Mathematics, Statistics, Data Science, or related field.
• 5+ years of experience in retail or CPG with expertise in price elasticity modeling and demand forecasting.
• Strong proficiency in Python (pandas, NumPy, OOP) and SQL.
• Experience quantifying elasticity coefficients and applying them in business contexts.
• Solid knowledge of regression models, time-series forecasting, and causal inference methods.
• Ability to work with large, complex datasets and iterate prototypes collaboratively.
• Strong communication skills for conveying complex analytical insights to technical and non-technical audiences.
• Familiarity with scalable cloud environments and distributed data systems.
• Nice to have: experience with scikit-learn, TensorFlow, PyTorch, Spark, Databricks, UI prototyping (Flask, Plotly, Streamlit), and ML Ops/CI-CD workflows.

• 100% remote work across Latin America.
• Contractor agreement with payment in USD.
• Observance of Argentina's public holidays.
• Access to English classes and learning platforms.
• Referral program and professional development opportunities.
• Work on impactful AI-driven solutions in retail and CPG sectors.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

It compares your profile to the job's core requirements and past success factors to determine your match score.

Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.

Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist (Forecasting/ML) in Latin America.

Join a high-impact retail and CPG AI innovation project in a fully remote, collaborative environment. In this senior role, you will design, build, and implement advanced forecasting and predictive models that transform data into actionable business insights. You will work closely with engineering and product teams to productionize AI/ML prototypes, support inventory planning, pricing, and promotional strategies, and deliver solutions that maximize efficiency and revenue. The role offers significant ownership, opportunities to apply both classical and machine learning techniques, and the chance to shape data-driven decision-making at scale. You will also communicate insights clearly to technical and business stakeholders while working in a culture focused on trust, continuous learning, and collaboration.

Accountabilities

• Process and analyze structured and unstructured retail and CPG data to identify trends and business insights.
• Design and implement advanced demand forecasting models using statistical and machine learning techniques.
• Apply forecasting strategies to solve real-world challenges, including inventory planning, pricing, and promotions.
• Build AI/ML prototypes and proof-of-concepts that integrate forecasting insights into operational processes.
• Collaborate closely with engineering and product teams to productionize models at scale.
• Present insights and model results effectively using data visualization and storytelling for diverse audiences.

• Bachelor's degree or higher in Statistics, Data Science, Applied Mathematics, Computer Science, or related field.
• 5+ years of experience as a Data Scientist or Machine Learning Engineer.
• Strong background in retail or CPG, with proven expertise in forecasting and demand planning.
• Deep knowledge of time series and predictive modeling techniques, including both classical and machine learning approaches.
• Proficiency with Python (pandas, OOP), SQL, and forecasting libraries (e.g., statsmodels, Prophet, scikit-learn, Darts).
• Solid understanding of demand patterns, seasonality, and price elasticity, and their impact on business decisions.
• Experience in prototyping, testing, and iterating models in cross-functional teams.
• Ability to communicate complex forecasting strategies and data insights to technical and business audiences.
• Familiarity with scalable cloud environments and distributed data systems.
• Nice to have: experience with deep learning frameworks (TensorFlow, PyTorch), big data tools (Spark, Databricks), UI prototyping (Flask, Plotly, Streamlit), and knowledge of CI/CD pipelines and modern DevOps workflows.

• 100% remote work across Latin America.
• Contractor agreement with payment in USD.
• Observance of Argentina's public holidays.
• Access to English classes and learning platforms.
• Referral program and professional development opportunities.
• Opportunity to contribute to large-scale, high-impact retail and CPG projects.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

It compares your profile to the job's core requirements and past success factors to determine your match score.

Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.

Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest

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.

At Antenna, the Data Science team are a critical part of developing new data solutions for the subscription economy. Our data scientist team analyze complex data, share findings with technical and non-technical stakeholders and regularly improve our analytical codebase.
At the moment, we do not have open roles in the Data Science team, but we welcome the opportunity to connect with candidates.
The Data Science team covers a variety of responsibilities, including but not limited to:

• Explore Antenna's diverse datasets to find trends, patterns, and useful insights
• Create and maintain clear data charts, dashboards, and reports using Python (like Plotly, Seaborn) and BI tools (like Looker)
• Contribute to the design, development, and testing of Python modules and utilities within our core data science library
• Write reusable, well-documented Python code (including classes and functions) to support analytical tasks and machine learning models
• Work on developing client-requested MVP data solutions, using your analytical and Python skills on new data and experiments
• Prepare, clean, and check data to support data science models and analytical projects
• Clearly write down your analytical methods, your Python code contributions, and how your charts work
• Explain complex data and analytical results in a simple way to both technical and non-technical people

All members of the Data Science team are:

• Experienced in data analysis, finding insights, making charts, and developing Python code for these tasks
• Have strong Python programming skills. They write clear, well-structured, and testable Python code, including custom classes and functions. And, they are comfortable contributing to a shared codebase or internal libraries
• Skilled with Python data analysis tools like Pandas, NumPy, and chart-making tools (e.g., Plotly, Seaborn, Matplotlib)
• Excellent SQL skills for getting, changing, and exploring complex data
• Good at turning data into interesting stories and effective visualizations
• Comfortable using Git to manage code and projects
• Have some experience with cloud data systems (GCP and BigQuery are a big plus) for accessing data and running analyses
• Understand basic machine learning ideas and can help explain what model results mean
• Excellent problem-solver for both analytical questions and Python coding challenges, with a good eye for detail
• Communicate clearly in English, especially when presenting data-based findings and technical ideas. Advanced English proficiency (B2-C1)

Antenna's Tech Stack

• Languages: Python, SQL
• Cloud Platform: Google Cloud (Storage, Dataproc, BigQuery)
• Version Control: Git
• Data Analysis Libraries: Pandas, NumPy, SciPy
• Machine Learning: scikit-learn, TensorFlow or PyTorch
• Data Visualization: Looker, Plotly, Google Data Studio
• 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

About Antenna
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.

At ScotiaGBS we want you to be part of a team that is always in personal and professional growth, for this reason we are looking for our new
Data Scientist

What will you do?

• Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
• Collaborate with stakeholders including Operations, Analytics and Data Science partners, as well as Scotia Digital and IT&S partners to identify opportunities and drive business value in reducing fraud risks by leveraging Data Science
• Leverage distributed computing tools (e.g. Beam, BigQuery, Hive, Spark) for analysis, data mining and modeling
• Collaborate with technology / engineering, analytics, and operational teams to deploy fraud detection and prevention models and algorithms in production across different products and channels
• Create and apply model validation strategies to measure model effectiveness, conduct A/B testing, and make ongoing enhancements
• Prepare detailed documentation to outline data sources, models and algorithms used and developed
• Present results to business line stakeholders and help implement real data-driven changes
• Understand how the Bank's risk appetite and risk culture should be incorporate into in day-to-day activities and decisions.

What do we offer you?

• Growth opportunities
• Diverse, dynamic, and multicultural environment
• Benefits for your financial and emotional well-being
• Competitive wages

What do you need?

• Experience with machine learning, statistical techniques, as well as model testing and validation
• Experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, audio, image)
• Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
• Programming skills in Python, Java or Scala
• Hands-on experience with Big Data ecosystem tools (e.g., Beam, BigQuery, Hive, Spark) preferred
• Experience with UNIX tools and shell scripting preferred
• Expertise with Docker or Kubernetes is an asset
• Experience with various services on Google Cloud Platform is an asset
• Experience deploying models into productions as streaming application, Rest APIs, batch jobs or dashboards is an asset
• Experience with Deep Learning architectures like RNNs and CNNs is highly desirable
• Experience using and implementing visualization tools is an asset
• Knowledge of industry trends regarding fraud and experience in fraud detection and prevention is an asset
• Bilingual English/Spanish language skills (B2 English level)

If you are seeking a fulfilling opportunity to join our esteemed team and contribute to the overall success, we invite you to apply for the role of
Data Scientist

Take the next step in your career journey and make a significant impact today

Company Description

Idilio TV will become the next mediatech giant for the Western world, delivering content faster and cheaper while catering to the mobile generation. Focused on innovation and growth, Idilio TV is poised to revolutionize the media landscape with data and hyper-segmentation.

Location:
Mexico/Colombia

Level:
Mid-Senior (4-8 years)

About the Role

At Idilio, data is the backbone of every decision - what stories we tell, how we optimize user journeys, and how we monetize. We're looking for a hybrid Data Scientist & Engineer who can build predictive models and the infrastructure to power them. You'll be the person who turns raw data into a growth engine.

What You'll Do

• Build ML models for content virality, retention, churn, and monetization.
• Analyze viewing behavior (drop-off, bingeing, shareability) to guide content decisions.
• Design & maintain data pipelines (ETL, APIs, event tracking).
• Build dashboards (Power BI, Looker, Tableau) for growth, product, and finance.
• Ensure data quality, consistency, and availability across teams.
• Partner with Growth & Monetization leads to test and validate hypotheses.

What We're Looking For

• 4-8 years in Data Science + Data Engineering.
• Proficiency in Python, SQL, Spark, TensorFlow/PyTorch, AWS/GCP.
• Experience with experimentation frameworks and recommender systems.
• Hands-on with ETL pipelines, data warehouses (Snowflake/BigQuery), tracking tools.
• Ability to work cross-functionally with growth, monetization, and product.

Company Overview

Zicasso
is a leading luxury travel company that creates personalized, life-enriching experiences for discerning travelers. Founded in Silicon Valley, our unique approach to travel blends cutting-edge technology and the unsurpassed destination expertise of our top travel specialists worldwide.

As a member of our team, you'll contribute to creating experiences that consistently earn us thousands of 5-star reviews. You'll be part of a company recognized as "Best in Travel" by TRAVEL+LEISURE magazine and regularly featured in notable publications such as The New York Times, The Wall Street Journal, BBC, and CNN. By joining Zicasso, you'll play a key role in bringing travel dreams to life – pushing the boundaries of what's possible in luxury travel experiences.

As a fully remote company spanning five continents, we foster a dynamic, progressive global work environment that values creativity, initiative, and continuous learning. We're seeking passionate, data-driven individuals who thrive in a high-performance environment and are eager to contribute to our innovative company culture underpinned by the pursuit of excellence, integrity, and teamwork.

Our global team comes together bi-annually for an in various locations, providing a unique opportunity to share ideas, collaborate in person, and strengthen our culture. This event embodies our commitment to both professional growth and the transformative power of travel.

Join us in shaping the future of luxury travel while working towards our vision: to create a more connected humanity through travel. To learn more, visit 

The Role

As a
Data Scientist
at Zicasso, you will have the opportunity to leverage your expertise in data analysis and modeling to extract valuable insights that will drive the company's strategic decision-making. You will work closely with cross-functional teams to develop and implement data-driven solutions that improve operations, enhance customer experiences, and optimize business performance.

This is an international, fully-remote, freelance contractor position, working from home, at a location outside of the United States. We are particularly seeking candidates who are based in Latin America.

There is flexibility in your work hours but we expect that you will generally maximize your overlap with California hours (eg. until 3pm Pacific Time Zone).

The work will all be conducted in English.

Key Responsibilities

• Lead the analysis of large, complex datasets to uncover strategic insights that drive product innovation and business growth.
• Lead the design, development, validation, and refinement of advanced predictive models and AI-driven solutions—including machine learning and natural language processing (NLP) techniques—to optimize every step of the customer journeys, improve demand/supply forecasting, deliver personalized recommendations, and achieve high customer satisfaction.
• Collaborate cross-functionally with product, marketing, and customer experience teams to identify data-driven opportunities for conversion optimization, retention, and engagement improvements.
• Design, implement, and interpret A/B tests and multi-variant experiments to evaluate and optimize product and operational initiatives.
• Develop and maintain dashboards and automated reporting tools to support data-driven decision-making, partnering with data engineering on scalable data infrastructure.
• Collaborate closely with data engineering teams to ensure data quality and consistency for accurate analysis and modeling.
• Communicate complex technical insights effectively to both technical teams and executive stakeholders.
• Provide training on utilizing data analysis and reports and foster the growth of a data-centric culture across the organization.

Required Experience

• Minimum 5 years of professional experience as a Data Scientist or related role in fast-moving, data-intensive environments.
• Hands-on expertise in AI, machine learning, and natural language processing (NLP) techniques, including model development, tuning, and validation.
• Strong proficiency in Python or R, with demonstrated experience implementing ML pipelines and frameworks.
• Advanced SQL skills, with experience working on large-scale, relational and/or distributed datasets.
• Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
• Strong problem-solving skills, with ability to translate ambiguous business challenges into actionable analytics projects.
• Effective collaborator with experience working independently in remote team environments.

Qualifications

• Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, Data Science, or related quantitative discipline.
• Deep understanding of statistical modeling, machine learning algorithms, AI frameworks, and experimental design.
• Proven ability to communicate complex quantitative insights clearly to both technical and non-technical stakeholders.
• Passion for leveraging data, AI, and ML to create exceptional customer experiences and measurable business impact.

What We Offer

• Remote work from your home base and flexible hours that allow you to enjoy a great work-life balance.
• Innovative, fast-paced and collaborative culture that values diverse voices and opinions.
• Learning and development annual budget.
• Two company-sponsored business trips each year at international destinations we serve