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Experience Level
Mid to Senior
Qualifications
Key Responsibilities:Develop, construct, and validate causal models to assess the effectiveness of business initiatives using techniques such as 2x2 Difference-in-Differences (DiD), Staggered DiD, Synthetic Control, Causal Forest, DoubleML, Causal Meta Learners, G-Computation, Causal Discovery, and DAG. Establish causal estimation methodologies for the design, execution, and validation of causal models, ensuring alignment with business context, data integrity, and strategic objectives while adhering to industry standards and best practices. Utilize advanced statistical techniques on observational data to discern and quantify causal relationships, effectively distinguishing between correlation and causation. Design and execute Randomized Controlled Trials (RCTs) to rigorously assess the effectiveness of business strategies. Guarantee strong experimental design, appropriate allocation of control and treatment groups, and precise execution to secure reliable and replicable results. Employ suitable statistical methods (e.g., regression analysis, t-tests, chi-square) to estimate the causal impact of experiments, critically evaluating assumptions, biases, and the robustness of outcomes. Maintain comprehensive and clear documentation of models, experiments, and analytical processes. Create reports and presentations that translate complex analyses into accessible insights for non-technical stakeholders.
About the job
Wizeline creates AI-driven digital products and platforms for clients in a range of industries. Teams here partner closely with clients, using data and artificial intelligence to accelerate product launches and support business transformation. The company emphasizes growth, collaboration, and tangible impact. People who bring fresh ideas and a drive to innovate tend to thrive.
Role overview
The Data Scientist - Experimentation & Causal Inference position centers on applying data science skills in an environment that values AI and measurable outcomes. This role focuses on experimentation and understanding causal relationships, supporting projects where data and analytics inform decision-making.
What you will do
Work on projects that use experimentation and causal inference to drive business results
Apply data science methods in collaboration with multidisciplinary teams
Contribute to AI-focused solutions for clients
Who thrives here
People who enjoy working with data, value collaboration, and want to see their work make a measurable difference will find this role rewarding. An interest in AI and a focus on practical results are important in this setting.
About Wizeline
At Wizeline, we are committed to pushing the boundaries of technology and innovation to provide our clients with exceptional AI-powered solutions. Our diverse team thrives in a collaborative environment where creativity and impact are at the forefront of everything we do.
Wizeline creates AI-driven digital products and platforms for clients in a range of industries. Teams here partner closely with clients, using data and artificial intelligence to accelerate product launches and support business transformation. The company emphasizes growth, collaboration, and tangible impact. People who bring fresh ideas and a drive to innovate tend to thrive. Role overview The Data Scientist - Experimentation & Causal Inference position centers on applying data science skills in an environment that values AI and measurable outcomes. This role focuses on experimentation and understanding causal relationships, supporting projects where data and analytics inform decision-making. What you will do Work on projects that use experimentation and causal inference to drive business results Apply data science methods in collaboration with multidisciplinary teams Contribute to AI-focused solutions for clients Who thrives here People who enjoy working with data, value collaboration, and want to see their work make a measurable difference will find this role rewarding. An interest in AI and a focus on practical results are important in this setting.
At Jellyfish, we value the unique qualities of each individual as our greatest asset. Our commitment lies in empowering every team member to realize their full potential and bring their distinctive viewpoints to our collaborative workspace. We are proud to be an equal opportunity employer, firmly believing that a diverse and inclusive workforce fuels innovation and leads to superior solutions. All qualified candidates will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other personal attributes.Jellyfish is a pioneering global digital marketing agency, blending technology enthusiasts, creative thinkers, and data experts to empower our clients on their digital journeys. Our dedication to embracing diverse perspectives drives our innovative strategies that challenge conventional approaches, reinvent media activation, and craft compelling narratives for our clients and their audiences. Join us in shaping a future where business growth and personal fulfillment go hand in hand.Job OverviewAs a Senior Data Scientist in Jellyfish's Cloud and Martech practice, you will play a pivotal role in designing and delivering advanced measurement, modeling, and predictive analytics solutions that enhance client performance and guide strategic decision-making. Collaborating across various teams, you will convert complex data sets into actionable insights, develop scalable analytical frameworks, and employ cutting-edge data science techniques to tackle real marketing and customer experience challenges.
At Jellyfish, we celebrate the individuality of our team members as our most valuable asset. Our mission is to empower every employee to unlock their full potential, contributing unique viewpoints within our collaborative culture. As an equal opportunity employer, we are dedicated to fostering a diverse and inclusive workforce that drives innovation and yields superior solutions. We welcome all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other personal characteristics.Jellyfish is a pioneering global digital marketing agency, a vibrant blend of technology enthusiasts, creative visionaries, and data specialists dedicated to guiding our clients through their digital endeavors. Our commitment to diverse viewpoints informs our innovative approaches, allowing us to challenge norms, redefine media engagement, and craft compelling narratives for our global clientele. Join us in shaping a future where business growth and personal satisfaction coexist harmoniously.Job OverviewAs a Data Scientist reporting to the Director of Data Science for Investment Analytics, you'll play a pivotal role in our Investment Analytics practice. You'll be instrumental in enhancing Jellyfish's Paid Media data applications, enabling us to drive expertise, enhance, and transform client solutions and services.In this role, you will spearhead complex data science initiatives, produce insightful multi-capability presentations, and take charge of advanced measurement and testing methodologies for our clients. Join us in our quest to achieve data-driven excellence!Your key responsibilities will include:Conducting data analyses to uncover hidden trends and delivering insights with actionable recommendations.Promoting the application of data science methodologies such as Geo-based Incrementality, Experiments, Media Mix Models, Causal Impact Studies, and other statistically robust testing approaches. Ensure these methodologies enhance campaign performance for existing clients, yielding tangible improvements and insights.Developing and implementing predictive models to optimize media performance, enhance customer experiences, and drive revenue growth.Collaborating with platform partners to expand the arsenal of mathematical techniques for Incrementality Testing, Media Mix Modelling, and Data Clean Rooms using both open-source and proprietary code to deliver exceptional client offerings.
Tiger Analytics is at the forefront of leveraging AI and analytics to tackle some of the most challenging issues faced by organizations worldwide. We deliver customized solutions driven by data and technology for numerous Fortune 100 companies. With offices in various locations across the US, UK, India, and Singapore, we also boast a significant remote workforce that operates globally.As leaders in AI and analytics consulting within the retail and consumer packaged goods (CPG) sectors, more than 40% of our revenue stems from this rapidly expanding field. To enhance our capabilities, we are expanding our talent pool in this area.We are currently seeking a Principal Data Scientist who combines exceptional analytical skills with extensive knowledge of data science methodologies and practical experience in applying algorithms to address real-world business challenges.
Role Overview Nagarro is hiring a Senior Staff Engineer - Senior Data Scientist in Mexico City. This position focuses on using data to inform business decisions and improve strategies. The role involves advanced analytics and machine learning to address challenging problems and support data-driven initiatives.
Full-time|Remote|Remote — Mexico City, Mexico City, Mexico
ALTEN Mexico is hiring a Senior Data Scientist and Machine Learning Engineer for its remote team in Mexico City. As part of the ALTEN Group, the company draws on more than 30 years of experience in engineering and technology, serving clients across industries such as Automotive, Energy, Aeronautics, Banking & Insurance, Telecom & Multimedia, and Rail. Role overview This position centers on creating and deploying data-driven solutions. The Senior Data Scientist and Machine Learning Engineer will work closely with colleagues from various fields to tackle complex business challenges through advanced data science and machine learning methods. Collaboration Expect frequent interaction with multidisciplinary teams, combining technical expertise with business insight to deliver practical results for clients in several sectors.
Join Nagarro as a Senior Staff Engineer and Senior Data Scientist, where you will play a crucial role in leveraging data to drive innovation and transform business strategies. You will work alongside a team of talented engineers and data scientists, leading projects that utilize advanced analytics and machine learning techniques to deliver actionable insights.Your expertise will contribute to developing cutting-edge solutions that enhance our clients' performance and drive growth. Collaborate with cross-functional teams to identify opportunities for data-driven decision-making and help shape the future of our technological landscape.
About UsAt Nubank, founded in 2013, our mission is to simplify the financial experience for people, enabling them to navigate their daily lives effortlessly. As one of the largest digital banking platforms globally, we proudly serve millions of customers across Brazil, Mexico, and Colombia.About the RoleWe are on the lookout for an enthusiastic and skilled Data Scientist to join our dynamic Credit Strategy team. In this pivotal role, you will leverage cutting-edge machine learning techniques to enhance our risk models and develop innovative causal machine learning strategies for our initial line assignment process.Your ResponsibilitiesTransform business challenges into actionable and well-defined machine learning solutions tailored to meet specific business needs.Integrate and utilize diverse external data sources to enrich our models.Maintain and elevate the technical excellence within the team.Foster a culture of technical collaboration within the local team.Provide expertise in designing projects that encompass all facets of machine learning product development, including training, deployment, data consistency, monitoring, and governance.
As a Data Architect at Instructure, you will lead the design and implementation of robust data solutions that drive our innovative learning management systems. Your expertise in data modeling, architecture, and analytics will be crucial in enhancing our platforms and ensuring they meet the evolving needs of our users. You will collaborate with cross-functional teams to define data strategies and establish best practices in data governance.
Lifted An Upwork Company seeks a Data Analyst based in Mexico City. This role centers on transforming data into practical insights that shape business decisions and support ongoing company strategies. The analyst will handle large datasets, prepare clear reports, and communicate findings to teams throughout the organization. Key responsibilities Examine complex datasets to identify trends and patterns Develop and maintain reports tailored to a range of business needs Share data-driven insights with stakeholders across the company What we look for Keen attention to detail when working with data Comfort using analytical tools and handling large volumes of information Clear communication skills for presenting findings
Full-time|Remote|Remote — Mexico City, Mexico City, Mexico
Tiger Analytics is at the forefront of revolutionizing analytics through cutting-edge technology and innovative solutions tailored for our clients. As a premier advanced analytics consulting firm, we collaborate with organizations to harness their data effectively, driving significant business results. With a robust emphasis on artificial intelligence and data science, we empower Fortune 100 companies to unlock the full potential of their data with scalable and efficient engineering solutions.We are excited to announce an opportunity for a Data Engineering Lead to guide our data initiatives. In this pivotal role, you will design and implement data engineering projects, ensuring a robust data architecture while leading a team of engineers to deliver high-quality data solutions. You will work in close collaboration with cross-functional teams to guarantee that our data strategies align seamlessly with business objectives and yield actionable insights.
Make a meaningful impact. At AlertMedia, our mission is clear: to protect lives and reduce losses by identifying active threats worldwide and ensuring timely communication when emergencies arise that threaten personal safety and business operations. Our core values guide us towards fulfilling our crucial mission of keeping individuals informed and safe: We are human, not machines. Customer satisfaction is our top priority. Collaboration drives our success. Simplicity is our competitive edge. Our reputation is invaluable. Diligence is rewarded. As one of the fastest-growing software companies in the country, we are dedicated to innovation and excellence.
jobgether is hiring a Senior Data Engineer based in Mexico. This position focuses on designing and implementing data solutions that support business goals and improve how the company uses information. Role overview The Senior Data Engineer will work closely with colleagues from different teams to understand data needs, build reliable data pipelines, and maintain high data quality across multiple platforms. The work involves analyzing requirements, optimizing workflows, and supporting the development of advanced analytics. What you will do Design and implement data architectures that meet business and technical requirements Develop and maintain efficient data pipelines Collaborate with cross-functional teams to gather and clarify data needs Monitor and improve data quality across systems Contribute to projects that advance the company’s use of analytics Requirements Experience in data engineering and architecture Ability to build and optimize data workflows Strong analytical and problem-solving skills Comfort working with teams across different functions
Full-time|On-site|Mexico City, Mexico City, Mexico
Join ALTEN Mexico as a Mid-Level Python Developer! We are seeking a skilled Data Scientist with a solid background in developing models using Python. The ideal candidate will be adept at technical documentation, data validation, and standardizing models for deployment in production environments. You will work closely with Machine Learning Engineering and MLOps teams to prepare and ensure model reproducibility across different settings.Main ResponsibilitiesIdentify, document, and map model inputs (sources, formats, frequency) and expected outputs.Document feature construction processes.Record technical dependencies (libraries, versions, configurations).Assist in standardizing and documenting technical aspects of models for production deployment.Collaborate with ML/MLOps engineers to prepare models for deployment in GCP.Apply data validation methodologies and consistency testing.Identify, analyze, and document result discrepancies and trace root causes.Propose technical adjustments to ensure reproducibility and consistency across environments.Create clear and reusable documentation for model maintenance.
Neoris is seeking a Data Architect / Engineer with a focus on Datalake solutions. This position is based in Mexico and centers on designing and building data systems that support business needs. Role overview This role involves shaping data architecture and engineering approaches for Datalake projects. The work includes planning, implementing, and maintaining data solutions that help turn raw data into useful insights for decision-making. What you will do Design and implement data architectures tailored for Datalake environments Work with modern data technologies to support scalable and reliable solutions Help transform complex data into actionable insights for business stakeholders Who we’re looking for Experience with Datalake technologies and data engineering practices Ability to design data systems that enable business intelligence and analytics Creative, analytical mindset for solving data challenges
Full-time|On-site|Mexico City, Mexico City, Mexico
ALTEN México is actively seeking a Senior Cloud Developer. The ideal candidate will possess extensive experience in data architecture, cloud ecosystems (specifically GCP), and the development of robust, scalable solutions tailored to meet business needs. The selected individual will be responsible for designing, implementing, and optimizing architectures and developments within GCP, ensuring efficiency, quality, and adherence to best technical practices.Main ResponsibilitiesDefining data architecture to meet new requirements.Conducting requirement analysis to assess technical feasibility and the impact of integrating new data sources.Designing and implementing scalable and efficient data solutions.Defining and executing improvements to the data ecosystem in GCP (processing, monitoring, and cost management).Developing robust and scalable applications using GCP services based on user needs.Conducting testing to ensure quality and performance.Establishing and applying best practices.
About WatershedWatershed serves as a premier enterprise sustainability platform, empowering leading companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens to effectively manage climate and ESG data. Our platform facilitates the generation of audit-ready metrics for both voluntary and regulatory reporting, including CSRD, while driving significant decarbonization efforts. We seek passionate team members who are enthusiastic about product development, eager to contribute to a mission-driven startup, and excited to help shape the culture of a rapidly growing team.With offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, and a diverse remote team across the US and Europe, we invite you to consider joining us!The RoleWe are in search of an analytical and detail-oriented manager to lead and expand our Data Specialist team in Mexico City. As a founding leader in our Mexico City office, you will lay the groundwork for our services teams in the region.The Data Specialist team collaborates directly with our clients to facilitate the ingestion of their data into Watershed. The team meticulously reviews raw data provided by customers, seeks necessary clarifications, transforms the data to align with Watershed templates, documents all transformations, and uploads it onto the platform. Our team is dedicated to delivering high-quality professional services and ensuring error-free results. As the manager, you will maintain professional service and quality standards, promote standardization, and coach the team to foster growth.This is a unique opportunity to elevate an already high-performing team within a growth-stage startup that partners with some of the world's leading companies to enhance their sustainability initiatives.You Will:Be a founding leader in our Mexico City office, exemplifying our operating principles, establishing high-quality service standards, and cultivating cultural norms.Manage and mentor a dedicated professional services team of 9 client-facing Data Specialists.Oversee team execution and throughput: plan and prioritize tasks, allocate resources across customer projects, and eliminate obstacles to ensure timely, high-quality delivery.Establish and enforce operational standards: define playbooks, templates, and review protocols to enhance accuracy, consistency, and audit readiness.Collaborate cross-functionally to derive insights, influence the product roadmap, and drive strategic initiatives that align with our mission.
Join our dynamic team at Inetum2 as a Data Visualization Specialist, where you will play a crucial role in transforming complex data into visually compelling narratives. You will collaborate with cross-functional teams to create insightful dashboards and reports, enabling data-driven decision-making across the organization.
Join a leading IT company that is making significant strides across Latin America! We are seeking a talented and experienced GCP Data Engineer to contribute to our growth and success.Proven expertise in data governance is essential.Strong background in data architecture, including proficiency in Data Lakes, Lakehouse, and contemporary Data Warehouses. You should also have hands-on experience with data quality implementation, automated validation, metadata management, technical lineage oversight, schema handling, and security protocols, particularly with respect to PII management.Hands-on SQL skills and familiarity with governance tools such as data catalogs, lineage tracking, and data quality solutions are highly advantageous.Fluent conversational skills in both English and Spanish are a must. (Assessment will be conducted).If you are a foreign national residing in Mexico, please ensure you possess a valid INE, CURP, NSS, and RFC.
Join our dynamic team at inetum2 as a Data Visualization Specialist. In this role, you will leverage your analytical skills to transform complex data into insightful visual narratives that drive strategic decision-making. You will collaborate with cross-functional teams to create dashboards and reports that illustrate key performance indicators and business insights.We are looking for innovative thinkers who are passionate about data storytelling and have a knack for presenting information in a clear and engaging manner. Your contributions will directly impact our company's growth and success.
Wizeline creates AI-driven digital products and platforms for clients in a range of industries. Teams here partner closely with clients, using data and artificial intelligence to accelerate product launches and support business transformation. The company emphasizes growth, collaboration, and tangible impact. People who bring fresh ideas and a drive to innovate tend to thrive. Role overview The Data Scientist - Experimentation & Causal Inference position centers on applying data science skills in an environment that values AI and measurable outcomes. This role focuses on experimentation and understanding causal relationships, supporting projects where data and analytics inform decision-making. What you will do Work on projects that use experimentation and causal inference to drive business results Apply data science methods in collaboration with multidisciplinary teams Contribute to AI-focused solutions for clients Who thrives here People who enjoy working with data, value collaboration, and want to see their work make a measurable difference will find this role rewarding. An interest in AI and a focus on practical results are important in this setting.
At Jellyfish, we value the unique qualities of each individual as our greatest asset. Our commitment lies in empowering every team member to realize their full potential and bring their distinctive viewpoints to our collaborative workspace. We are proud to be an equal opportunity employer, firmly believing that a diverse and inclusive workforce fuels innovation and leads to superior solutions. All qualified candidates will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other personal attributes.Jellyfish is a pioneering global digital marketing agency, blending technology enthusiasts, creative thinkers, and data experts to empower our clients on their digital journeys. Our dedication to embracing diverse perspectives drives our innovative strategies that challenge conventional approaches, reinvent media activation, and craft compelling narratives for our clients and their audiences. Join us in shaping a future where business growth and personal fulfillment go hand in hand.Job OverviewAs a Senior Data Scientist in Jellyfish's Cloud and Martech practice, you will play a pivotal role in designing and delivering advanced measurement, modeling, and predictive analytics solutions that enhance client performance and guide strategic decision-making. Collaborating across various teams, you will convert complex data sets into actionable insights, develop scalable analytical frameworks, and employ cutting-edge data science techniques to tackle real marketing and customer experience challenges.
At Jellyfish, we celebrate the individuality of our team members as our most valuable asset. Our mission is to empower every employee to unlock their full potential, contributing unique viewpoints within our collaborative culture. As an equal opportunity employer, we are dedicated to fostering a diverse and inclusive workforce that drives innovation and yields superior solutions. We welcome all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other personal characteristics.Jellyfish is a pioneering global digital marketing agency, a vibrant blend of technology enthusiasts, creative visionaries, and data specialists dedicated to guiding our clients through their digital endeavors. Our commitment to diverse viewpoints informs our innovative approaches, allowing us to challenge norms, redefine media engagement, and craft compelling narratives for our global clientele. Join us in shaping a future where business growth and personal satisfaction coexist harmoniously.Job OverviewAs a Data Scientist reporting to the Director of Data Science for Investment Analytics, you'll play a pivotal role in our Investment Analytics practice. You'll be instrumental in enhancing Jellyfish's Paid Media data applications, enabling us to drive expertise, enhance, and transform client solutions and services.In this role, you will spearhead complex data science initiatives, produce insightful multi-capability presentations, and take charge of advanced measurement and testing methodologies for our clients. Join us in our quest to achieve data-driven excellence!Your key responsibilities will include:Conducting data analyses to uncover hidden trends and delivering insights with actionable recommendations.Promoting the application of data science methodologies such as Geo-based Incrementality, Experiments, Media Mix Models, Causal Impact Studies, and other statistically robust testing approaches. Ensure these methodologies enhance campaign performance for existing clients, yielding tangible improvements and insights.Developing and implementing predictive models to optimize media performance, enhance customer experiences, and drive revenue growth.Collaborating with platform partners to expand the arsenal of mathematical techniques for Incrementality Testing, Media Mix Modelling, and Data Clean Rooms using both open-source and proprietary code to deliver exceptional client offerings.
Tiger Analytics is at the forefront of leveraging AI and analytics to tackle some of the most challenging issues faced by organizations worldwide. We deliver customized solutions driven by data and technology for numerous Fortune 100 companies. With offices in various locations across the US, UK, India, and Singapore, we also boast a significant remote workforce that operates globally.As leaders in AI and analytics consulting within the retail and consumer packaged goods (CPG) sectors, more than 40% of our revenue stems from this rapidly expanding field. To enhance our capabilities, we are expanding our talent pool in this area.We are currently seeking a Principal Data Scientist who combines exceptional analytical skills with extensive knowledge of data science methodologies and practical experience in applying algorithms to address real-world business challenges.
Role Overview Nagarro is hiring a Senior Staff Engineer - Senior Data Scientist in Mexico City. This position focuses on using data to inform business decisions and improve strategies. The role involves advanced analytics and machine learning to address challenging problems and support data-driven initiatives.
Full-time|Remote|Remote — Mexico City, Mexico City, Mexico
ALTEN Mexico is hiring a Senior Data Scientist and Machine Learning Engineer for its remote team in Mexico City. As part of the ALTEN Group, the company draws on more than 30 years of experience in engineering and technology, serving clients across industries such as Automotive, Energy, Aeronautics, Banking & Insurance, Telecom & Multimedia, and Rail. Role overview This position centers on creating and deploying data-driven solutions. The Senior Data Scientist and Machine Learning Engineer will work closely with colleagues from various fields to tackle complex business challenges through advanced data science and machine learning methods. Collaboration Expect frequent interaction with multidisciplinary teams, combining technical expertise with business insight to deliver practical results for clients in several sectors.
Join Nagarro as a Senior Staff Engineer and Senior Data Scientist, where you will play a crucial role in leveraging data to drive innovation and transform business strategies. You will work alongside a team of talented engineers and data scientists, leading projects that utilize advanced analytics and machine learning techniques to deliver actionable insights.Your expertise will contribute to developing cutting-edge solutions that enhance our clients' performance and drive growth. Collaborate with cross-functional teams to identify opportunities for data-driven decision-making and help shape the future of our technological landscape.
About UsAt Nubank, founded in 2013, our mission is to simplify the financial experience for people, enabling them to navigate their daily lives effortlessly. As one of the largest digital banking platforms globally, we proudly serve millions of customers across Brazil, Mexico, and Colombia.About the RoleWe are on the lookout for an enthusiastic and skilled Data Scientist to join our dynamic Credit Strategy team. In this pivotal role, you will leverage cutting-edge machine learning techniques to enhance our risk models and develop innovative causal machine learning strategies for our initial line assignment process.Your ResponsibilitiesTransform business challenges into actionable and well-defined machine learning solutions tailored to meet specific business needs.Integrate and utilize diverse external data sources to enrich our models.Maintain and elevate the technical excellence within the team.Foster a culture of technical collaboration within the local team.Provide expertise in designing projects that encompass all facets of machine learning product development, including training, deployment, data consistency, monitoring, and governance.
As a Data Architect at Instructure, you will lead the design and implementation of robust data solutions that drive our innovative learning management systems. Your expertise in data modeling, architecture, and analytics will be crucial in enhancing our platforms and ensuring they meet the evolving needs of our users. You will collaborate with cross-functional teams to define data strategies and establish best practices in data governance.
Lifted An Upwork Company seeks a Data Analyst based in Mexico City. This role centers on transforming data into practical insights that shape business decisions and support ongoing company strategies. The analyst will handle large datasets, prepare clear reports, and communicate findings to teams throughout the organization. Key responsibilities Examine complex datasets to identify trends and patterns Develop and maintain reports tailored to a range of business needs Share data-driven insights with stakeholders across the company What we look for Keen attention to detail when working with data Comfort using analytical tools and handling large volumes of information Clear communication skills for presenting findings
Full-time|Remote|Remote — Mexico City, Mexico City, Mexico
Tiger Analytics is at the forefront of revolutionizing analytics through cutting-edge technology and innovative solutions tailored for our clients. As a premier advanced analytics consulting firm, we collaborate with organizations to harness their data effectively, driving significant business results. With a robust emphasis on artificial intelligence and data science, we empower Fortune 100 companies to unlock the full potential of their data with scalable and efficient engineering solutions.We are excited to announce an opportunity for a Data Engineering Lead to guide our data initiatives. In this pivotal role, you will design and implement data engineering projects, ensuring a robust data architecture while leading a team of engineers to deliver high-quality data solutions. You will work in close collaboration with cross-functional teams to guarantee that our data strategies align seamlessly with business objectives and yield actionable insights.
Make a meaningful impact. At AlertMedia, our mission is clear: to protect lives and reduce losses by identifying active threats worldwide and ensuring timely communication when emergencies arise that threaten personal safety and business operations. Our core values guide us towards fulfilling our crucial mission of keeping individuals informed and safe: We are human, not machines. Customer satisfaction is our top priority. Collaboration drives our success. Simplicity is our competitive edge. Our reputation is invaluable. Diligence is rewarded. As one of the fastest-growing software companies in the country, we are dedicated to innovation and excellence.
jobgether is hiring a Senior Data Engineer based in Mexico. This position focuses on designing and implementing data solutions that support business goals and improve how the company uses information. Role overview The Senior Data Engineer will work closely with colleagues from different teams to understand data needs, build reliable data pipelines, and maintain high data quality across multiple platforms. The work involves analyzing requirements, optimizing workflows, and supporting the development of advanced analytics. What you will do Design and implement data architectures that meet business and technical requirements Develop and maintain efficient data pipelines Collaborate with cross-functional teams to gather and clarify data needs Monitor and improve data quality across systems Contribute to projects that advance the company’s use of analytics Requirements Experience in data engineering and architecture Ability to build and optimize data workflows Strong analytical and problem-solving skills Comfort working with teams across different functions
Full-time|On-site|Mexico City, Mexico City, Mexico
Join ALTEN Mexico as a Mid-Level Python Developer! We are seeking a skilled Data Scientist with a solid background in developing models using Python. The ideal candidate will be adept at technical documentation, data validation, and standardizing models for deployment in production environments. You will work closely with Machine Learning Engineering and MLOps teams to prepare and ensure model reproducibility across different settings.Main ResponsibilitiesIdentify, document, and map model inputs (sources, formats, frequency) and expected outputs.Document feature construction processes.Record technical dependencies (libraries, versions, configurations).Assist in standardizing and documenting technical aspects of models for production deployment.Collaborate with ML/MLOps engineers to prepare models for deployment in GCP.Apply data validation methodologies and consistency testing.Identify, analyze, and document result discrepancies and trace root causes.Propose technical adjustments to ensure reproducibility and consistency across environments.Create clear and reusable documentation for model maintenance.
Neoris is seeking a Data Architect / Engineer with a focus on Datalake solutions. This position is based in Mexico and centers on designing and building data systems that support business needs. Role overview This role involves shaping data architecture and engineering approaches for Datalake projects. The work includes planning, implementing, and maintaining data solutions that help turn raw data into useful insights for decision-making. What you will do Design and implement data architectures tailored for Datalake environments Work with modern data technologies to support scalable and reliable solutions Help transform complex data into actionable insights for business stakeholders Who we’re looking for Experience with Datalake technologies and data engineering practices Ability to design data systems that enable business intelligence and analytics Creative, analytical mindset for solving data challenges
Full-time|On-site|Mexico City, Mexico City, Mexico
ALTEN México is actively seeking a Senior Cloud Developer. The ideal candidate will possess extensive experience in data architecture, cloud ecosystems (specifically GCP), and the development of robust, scalable solutions tailored to meet business needs. The selected individual will be responsible for designing, implementing, and optimizing architectures and developments within GCP, ensuring efficiency, quality, and adherence to best technical practices.Main ResponsibilitiesDefining data architecture to meet new requirements.Conducting requirement analysis to assess technical feasibility and the impact of integrating new data sources.Designing and implementing scalable and efficient data solutions.Defining and executing improvements to the data ecosystem in GCP (processing, monitoring, and cost management).Developing robust and scalable applications using GCP services based on user needs.Conducting testing to ensure quality and performance.Establishing and applying best practices.
About WatershedWatershed serves as a premier enterprise sustainability platform, empowering leading companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens to effectively manage climate and ESG data. Our platform facilitates the generation of audit-ready metrics for both voluntary and regulatory reporting, including CSRD, while driving significant decarbonization efforts. We seek passionate team members who are enthusiastic about product development, eager to contribute to a mission-driven startup, and excited to help shape the culture of a rapidly growing team.With offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, and a diverse remote team across the US and Europe, we invite you to consider joining us!The RoleWe are in search of an analytical and detail-oriented manager to lead and expand our Data Specialist team in Mexico City. As a founding leader in our Mexico City office, you will lay the groundwork for our services teams in the region.The Data Specialist team collaborates directly with our clients to facilitate the ingestion of their data into Watershed. The team meticulously reviews raw data provided by customers, seeks necessary clarifications, transforms the data to align with Watershed templates, documents all transformations, and uploads it onto the platform. Our team is dedicated to delivering high-quality professional services and ensuring error-free results. As the manager, you will maintain professional service and quality standards, promote standardization, and coach the team to foster growth.This is a unique opportunity to elevate an already high-performing team within a growth-stage startup that partners with some of the world's leading companies to enhance their sustainability initiatives.You Will:Be a founding leader in our Mexico City office, exemplifying our operating principles, establishing high-quality service standards, and cultivating cultural norms.Manage and mentor a dedicated professional services team of 9 client-facing Data Specialists.Oversee team execution and throughput: plan and prioritize tasks, allocate resources across customer projects, and eliminate obstacles to ensure timely, high-quality delivery.Establish and enforce operational standards: define playbooks, templates, and review protocols to enhance accuracy, consistency, and audit readiness.Collaborate cross-functionally to derive insights, influence the product roadmap, and drive strategic initiatives that align with our mission.
Join our dynamic team at Inetum2 as a Data Visualization Specialist, where you will play a crucial role in transforming complex data into visually compelling narratives. You will collaborate with cross-functional teams to create insightful dashboards and reports, enabling data-driven decision-making across the organization.
Join a leading IT company that is making significant strides across Latin America! We are seeking a talented and experienced GCP Data Engineer to contribute to our growth and success.Proven expertise in data governance is essential.Strong background in data architecture, including proficiency in Data Lakes, Lakehouse, and contemporary Data Warehouses. You should also have hands-on experience with data quality implementation, automated validation, metadata management, technical lineage oversight, schema handling, and security protocols, particularly with respect to PII management.Hands-on SQL skills and familiarity with governance tools such as data catalogs, lineage tracking, and data quality solutions are highly advantageous.Fluent conversational skills in both English and Spanish are a must. (Assessment will be conducted).If you are a foreign national residing in Mexico, please ensure you possess a valid INE, CURP, NSS, and RFC.
Join our dynamic team at inetum2 as a Data Visualization Specialist. In this role, you will leverage your analytical skills to transform complex data into insightful visual narratives that drive strategic decision-making. You will collaborate with cross-functional teams to create dashboards and reports that illustrate key performance indicators and business insights.We are looking for innovative thinkers who are passionate about data storytelling and have a knack for presenting information in a clear and engaging manner. Your contributions will directly impact our company's growth and success.
Oct 15, 2025
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