Senior Data Scientist

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.

Tiger Analytics is a leading global AI and analytics consulting firm dedicated to leveraging data and technology to deliver impactful solutions. Our diverse team of over 3,400 professionals is committed to solving complex challenges that positively affect millions around the world. Our culture emphasizes expertise, respect, and a collaborative team-first mindset. With our headquarters in Silicon Valley, we operate delivery centers globally, including extensive remote operations across India, the US, the UK, Canada, and Singapore.We are proud to be Great Place to Work-Certified™. At Tiger Analytics, you’ll be at the forefront of an AI revolution, collaborating with innovative teams to push the boundaries of what's possible and develop solutions that inspire and energize.

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.

At Tiger Analytics, we pride ourselves on being a leading advanced analytics consulting firm. Trusted by numerous Fortune 100 companies, we empower our clients to unlock substantial business value from their data. Our talented consultants possess extensive expertise in Data Science, Machine Learning, and AI. Our commitment to delivering business value and leadership excellence has earned us recognition from esteemed market research firms, including Forrester and Gartner. We are seeking an individual who possesses a unique combination of business consulting acumen and a solid background in data analytics. Key Responsibilities: Leverage cutting-edge data science applications to address complex business challenges. Collaborate closely with client stakeholders to convert business challenges into high-level analytics solution designs. Articulate analytic solutions to business audiences, emphasizing the robustness of the solution and its potential to drive business value. Design comprehensive solutions by gaining an in-depth understanding of business challenges, ensuring that analytics solutions are delivered efficiently, predictably, and sustainably. Oversee analytics projects while collaborating with client stakeholders and Tiger’s global team. Engage in collaborative discussions with team members to select and implement relevant analytic techniques, generating actionable business insights. Deliver presentations to senior management, communicate results to business teams, and develop strategies to operationalize analytic solutions.

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.

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 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.

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.

ALTEN México is seeking a skilled Mid-Level Data & Analytics Engineer with a focus on Machine Learning. The ideal candidate will possess expertise in standardizing models, preparing execution environments, versioning, and deploying solutions on Google Cloud Platform (GCP) while adhering to best practices in MLOps. Responsibilities include documenting, optimizing, and ensuring the portability and scalability of models within the cloud data ecosystem.Main ResponsibilitiesCollaborate on standardizing code structure, notebooks, and configuration management.Manage versioning of dependencies, models, and artifacts.Assist in preparing execution environments (Docker, requirements, configurations).Adapt models for GCP services (Vertex AI, Cloud Run).Create clear documentation on model execution, pipelines, and deployment procedures.Propose technical improvements based on prior experience.Design and implement machine learning pipelines tailored to the GCP ecosystem.Ensure scalability for varying data volumes or request loads.

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.

ALTEN México es una destacada subsidiaria del Grupo ALTEN, un líder global en ingeniería y tecnologías de la información con más de 30 años de experiencia. Operamos en 30 países alrededor del mundo, con un equipo de más de 46,000 empleados, de los cuales el 88% son ingenieros altamente capacitados.Estamos en búsqueda de un Data Analytics Support Specialist para unirse a nuestro equipo. Las responsabilidades incluyen:Gestión y análisis de bases de datos comerciales, operativas y administrativas.Creación y mantenimiento de reportes, controles y tableros de seguimiento.Soporte a procesos administrativos, facturación, auditorías y conciliaciones.Monitoreo de operaciones relacionadas con flotas y esquemas especiales, garantizando la consistencia de la información.Asistencia en la estandarización de procesos y mejora continua basada en datos.

About TalaAt Tala, we leverage cutting-edge technology and innovative thinking to tackle challenges that traditional institutions either cannot or will not address. As a global financial infrastructure entity, our mission is to unlock the economic potential of the majority worldwide, acknowledging that current financial systems often fail to serve large segments of the population.We are pioneering a unique platform that integrates the analytical capabilities of a credit bureau, the payment functionalities of a fintech, and the relational insights of a banking institution into a singular, comprehensive solution. Our platform benefits from a vast proprietary data ecosystem and advanced AI/ML decision-making technologies, enabling us to provide immediate, reliable liquidity tailored to the distinct needs of each customer. To date, through our flagship credit application, we have disbursed over $7 billion in credit to more than 12 million customers across Latin America, Southeast Asia, and East Africa, empowering them to launch and grow small businesses, manage daily expenses, and achieve their financial aspirations.Our innovative efforts and tangible impact have garnered us consistent accolades, including:- A spot on CNBC’s Disruptor 50 for five consecutive years.- Recognition as one of CNBC’s World’s Top Fintech Companies for two years running.- Inclusion in Forbes’ Fintech 50 list for nine straight years.Visionary investors, motivated by the economic potential of the global majority, have invested over half a billion dollars in equity and debt to support Tala's growth.Operating on a remote-first basis, our team is spread across several office hubs, including Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, Philippines; and Bangalore, India.Most Talazens are drawn to our mission. If you are passionate about the positive impact you can create at Tala, we would love to hear from you!The RoleWe are seeking a Senior Analytics Engineer who will enhance the way data informs decision-making across our organization. In this role, you will be responsible for the design, development, and optimization of our presentation layer, transforming raw data into trusted, accessible insights for our business and product teams. Collaborating with data engineers, analysts, and business stakeholders, you will refine our data ecosystem, guarantee data reliability, and implement scalable best practices that make analytics faster, clearer, and more impactful.This is a hands-on, high-visibility position ideal for someone who enjoys tackling complex data challenges, mentoring colleagues, and establishing the foundation for a data-driven culture.

Tala is focused on expanding access to financial services for underserved communities through AI-driven credit infrastructure. With a presence in Africa, Latin America, and Asia, Tala has distributed over $7 billion to 13 million customers. The company’s data platform is designed to support thin-file borrowers and help unlock economic opportunities worldwide. Recognition for Tala’s work includes multiple selections for CNBC’s Disruptor 50, appearances on Forbes’ Fintech 50 list, and inclusion in CNBC’s World's Top Fintech Companies. The team operates remotely, with regional hubs including Mexico City. Role overview The Analytics Engineer II will focus on building and maintaining Tala’s data presentation layer. This work ensures that data remains reliable, well-aggregated, and accessible across the organization. The position involves close collaboration with cross-functional teams to enhance data infrastructure and deliver self-service tools and training for analysts. The aim is to empower teams to draw insights and improve company-wide data accessibility. Location This role is based in Mexico City.

ciandt is searching for a Data & Analytics Manager to join the team in Mexico City. This hybrid position requires working onsite at a client office in Polanco two to three times per week. Candidates must submit their CV in English and demonstrate English fluency at C1 level or higher. Role overview This role centers on leading data-driven projects for one of Mexico's largest e-commerce platforms. The Data & Analytics Manager will guide the full lifecycle of data products, from initial concept through development, deployment, and ongoing improvement. The position combines strategic direction with hands-on involvement in daily operations. Key responsibilities Oversee and execute data initiatives, ensuring projects are carefully planned and delivered. Manage data product lifecycles, including enhancements after launch. Develop and maintain tracking strategies to capture behavioral metrics. Translate data into actionable insights and visualizations that support marketing and product decisions. Requirements Fluent English (C1 or higher). Ability to work onsite in Mexico City (Polanco) 2–3 times per week. Experience managing data projects and leading teams. Strong technical skills and analytical mindset. ciandt brings together over 8,000 professionals worldwide and has partnered with more than 1,000 clients over 30 years. The company combines human expertise with AI technology to deliver scalable solutions. Artificial Intelligence is central to the work and culture at ciandt.

About WPPWPP serves as the trusted growth partner for the world’s leading brands. We integrate cutting-edge media intelligence, data solutions, world-class creativity, next-gen production, transformative enterprise solutions, and expert strategic counsel into a single entity—powered by outstanding talent and our dynamic marketing platform, WPP Open. We empower our clients to navigate change, seize opportunities, and achieve transformational growth. For further details, visit WPP.com.About WPP MediaWPP is at the forefront of creative transformation. We harness creativity to forge better futures for our people, planet, clients, and communities. Discover more at wpp.com.WPP Media represents WPP’s global media collective. In an era where media permeates every aspect of life, we unite the best platforms, people, and partners to create limitless growth opportunities. Check out wppmedia.com for more information.At WPP Media, we take pride in our culture and our people, which empowers us to deliver exceptional experiences for our clients and each other. In this role, embracing WPP & WPP Media’s shared core values will be essential:Be Extraordinary by Leading Collectively to Inspire Transformational Creativity.Create an Open environment by Balancing People and Client Experiences through Cultivating Trust.Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

PayJoy is looking for a Senior Analytics Engineer based in Mexico City. This position centers on transforming complex data into actionable insights that guide business decisions and support company growth. Main responsibilities Examine data sets to identify patterns, trends, and opportunities for improvement Convert analytical findings into clear recommendations that inform business strategy Work closely with cross-functional teams to assist with projects and drive process enhancements Collaboration This role involves frequent interaction with colleagues across departments. The Senior Analytics Engineer helps support key initiatives and looks for ways to make company operations more effective.

SimplePractice is launching its first office in Mexico City. Roles here follow a hybrid schedule, blending on-site collaboration with remote work options. Headquartered in Los Angeles, SimplePractice supports health and wellness professionals by providing tools for private practice. The company’s team includes colleagues from the United States, Dominican Republic, Mexico City, and Ukraine. Over 250,000 providers use SimplePractice’s software to manage and grow their businesses. The platform simplifies daily operations, covering everything from administrative tasks to clinical care, and serves both solo practitioners and small groups. SimplePractice has earned recognition from MedTech Breakthrough and Digital Health Awards. BuiltIn named the company one of the Best Places to Work, and it appears on the Best Places to Code list in Mexico. Our values Think big Take simplicity seriously Come as you are Act with humility Build on trust Everyone at SimplePractice helps maintain and grow the company’s culture. The team values collaboration and connection, working closely across borders. Employees can participate in in-person meetups in both the U.S. and Mexico.

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

Business Intelligence (BI) Analytics EngineerAt SunnyData, we are dedicated to guiding our clients through their data journeys, helping them harness the power of data to drive their businesses forward. We believe that a strong foundation is crucial for achieving exceptional data-driven results, including scalable architectures, robust data engineering pipelines, user-friendly data consumption layers, and precise ML and AI applications. We are in search of a Business Intelligence (BI) Analytics Engineer who will play a pivotal role in supporting our ongoing reporting and data engineering requirements. This position will primarily focus on creating and managing business reports across various BI tools, as well as executing data modeling and transformation with extensive datasets.A proactive approach, excellent communication abilities, and a collaborative spirit are essential for success in this role.The Impact You Will Have1. Business Intelligence & ReportingDevelop, modify, and maintain dashboards and reports utilizing BI tools like PowerBI, Tableau, and Databricks AI/BI.Translate business requests (submitted via a ticketing system) into actionable data visualizations.Ensure uniformity in definitions, metrics, and data logic across all reports.Optimize queries and dashboards for enhanced performance and clarity.Document the logic and assumptions that underpin key metrics and dashboards.2. Data Engineering & Data ModelingPossess advanced SQL knowledge and demonstrated proficiency in writing and optimizing SQL queries.Create and maintain database views, derived tables, and other analytical objects to meet reporting requirements.Demonstrate experience in dashboard engineering projects, emphasizing storytelling and usability.Conduct data modeling and transformation tasks to ensure reliable downstream reporting.Identify and resolve data discrepancies while validating data accuracy across systems.Collaborate on enhancements to data structure and warehouse organization as necessary.3. Deliverables & Success CriteriaDeliver accurate, well-documented dashboards within agreed service level agreements (SLAs).Provide clean, reusable SQL objects that support long-term reporting needs.Enhance clarity and consistency in metric definitions.Minimize back-and-forth communication on reporting requests due to thorough documentation and clarity.