Microsoft AzureAzure Data FactoryAzure Data LakeWe are seeking a highly skilled and motivated Data Scientist to join our Data and Analytics team.
This position will develop, implement, and optimize advanced analytics solutions that support data-driven decision-making across the organization.Key ResponsibilitiesData Science, Analysis, and ModelingDevelop, implement, and optimize statistical models and machine learning algorithms to solve complex business problemsPerform exploratory data analysis (EDA) to identify patterns, trends, relationships, and opportunities within large datasetsConduct feature engineering, data preprocessing, transformation, and validation to prepare datasets for modeling and analysisEvaluate model performance and improve analytical solutions based on business and technical requirementsTranslate analytical results into actionable business recommendationsData Engineering and ETLDesign, build, maintain, and optimize scalable data pipelines and ETL/ELT processes using DatabricksIntegrate structured and unstructured data from multiple sourcesSupport data transformation, cleansing, validation, and processing workflowsMonitor and improve data quality, accuracy, consistency, and integrityCollaborate with data engineers to develop reliable and scalable data solutionsWork with big data technologies and distributed processing frameworks such as Apache SparkAzure Cloud and Data PlatformUtilize Microsoft Azure services to support data ingestion, storage, transformation, processing, and analyticsWork with Azure Data Factory (ADF) to develop and maintain data integration and orchestration workflowsWork with Azure Data Lake for scalable cloud-based data storage and analyticsDevelop cloud-based data and analytics solutions following performance, scalability, and data governance best practicesSnowflake Data WarehouseDevelop, manage, and optimize data warehouses and data marts in SnowflakeWrite and optimize SQL queries for data extraction, transformation, analysis, and reportingImprove query performance and ensure efficient data storage and retrievalSupport integration between Snowflake, Databricks, Azure, and other enterprise data sourcesMachine Learning and Statistical AnalysisApply appropriate machine learning algorithms and statistical methods to business use casesDevelop predictive and analytical models using Python, R, and/or ScalaTest, validate,



and evaluate models using appropriate statistical and machine learning techniquesIdentify opportunities to use advanced analytics and machine learning to improve business outcomes and operational decision-makingCollaboration and CommunicationPartner with data engineers, data analysts, business leaders, and other cross-functional stakeholders to understand business and data requirementsTranslate business problems into technical and analytical solutionsCommunicate complex analytical findings clearly and concisely to technical and non-technical audiencesPresent insights, recommendations, and analytical results to business stakeholdersSupport data-driven decision-making across the organizationInnovation and Continuous ImprovementStay current with emerging trends and advancements in data science, artificial intelligence, machine learning, cloud computing, and big data technologiesIdentify opportunities to improve existing data, analytics, and machine learning processesDevelop innovative solutions that improve efficiency, scalability, and business decision-makingPromote best practices for data science, analytics, data engineering, and cloud technologiesRequirementsEducationBachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative or technical fieldExperienceProven professional experience as a Data Scientist or in a closely related data and analytics roleHands-on experience working with Databricks, Microsoft Azure, and SnowflakeExperience developing statistical models and machine learning solutionsExperience designing and maintaining data pipelines and ETL/ELT processesExperience working with relational databases, data warehouses, and large datasetsStrong proficiency in SQLProficiency in at least one programming language such as Python, R,



or ScalaRequired SkillsData ScienceMachine LearningStatistical ModelingPredictive AnalyticsPythonSQLDatabricksMicrosoft AzureSnowflakeAzure Data FactoryAzure Data LakeETL/ELTData PipelinesData EngineeringData WarehousingData ModelingFeature EngineeringData PreprocessingExploratory Data Analysis (EDA)Data Quality and Data IntegrityRelational DatabasesCloud ComputingStrong analytical and problem-solving skillsStrong written and verbal communication skillsCross-functional collaborationPreferred QualificationsExperience with big data technologies such as Apache Spark and HadoopExperience with data visualization and business intelligence tools such as Microsoft Power BI or TableauCertifications in Microsoft Azure, Databricks, or SnowflakeExperience working in a similar industry or business domainExperience developing scalable analytics and machine learning solutions in cloud environmentsPreferred Technology StackCloud and Data Platforms: Microsoft Azure, Databricks, SnowflakeProgramming: Python, R, ScalaData and Query Languages: SQLData Engineering: ETL/ELT, Data Pipelines, Azure Data Factory, Azure Data LakeBig Data: Apache Spark, HadoopAnalytics: Machine Learning, Statistical Modeling, Predictive Analytics, Feature EngineeringVisualization: Power BI, TableauAbout The RoleThis position is adecuado for a Data Scientist who enjoys working across the full data lifecycle—from data ingestion and engineering through statistical analysis, machine learning, and communicating business insights.
The successful candidate will combine strong technical expertise with business acumen and collaboration skills to help the organization maximize the value of its data.BenefitsWhy Join MezTal?
At MezTal, we prioritize innovation, collaboration, and personal growth.
You'll have the opportunity to work on meaningful projects, be part of a supportive team, and enjoy a culture that values work-life balance and professional development.Christmas Bonus: 30 days, to be paid in DecemberMajor Medical Expense Insurance: Coverage up to $25,000,****** MXNDental Insurance: Always smile with confidence!
Life Insurance: (Death and MXN Disability)Vacation Days: 12 vacation days in accordance with Federal Labor Law + Floating Holidays: 3 floating holidays in addition to the 7 official holidays in MexicoCell Phone Reimbursement & Transportation SubsidyMulticultural Exposure: Work with operations within Mexico and the United StatesMezTal Internal Events: Strike a healthy balance between your professional and personal goalsExclusive Discounts: Benefits with different companies for being part of MezTalAcademic Agreements: Access to national universities and language schools#J-*****-Ljbffr

📌 Data Scientist (Jalisco)
🏢 Meztal
📍 Jalisco