Data Scientist

MezTal; Región Centro; Presencial; MXN 600.000 - 900.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Christmas Bonus: 30 days

Major Medical Expense Insurance: MXN 2

Dental Insurance

Life Insurance

Vacation Days: 12 + floating holidays

Cell Phone Reimbursement & Transport

Multicultural Exposure: Mexico/USA

MezTal Internal Events

Exclusive Discounts

Academic Agreements

Descripción de la vacante

MezTal is seeking a Data Scientist to join our Data & Analytics team. You will develop, implement, and optimize advanced analytics and ML solutions supporting data-driven decisions across the organization.

You will design data pipelines, perform EDA, feature engineering, and build predictive models using Python, R, or Scala. Collaborate with cross-functional teams to translate insights into business actions while leveraging Azure, Databricks, and Snowflake.

Formación

• Bachelor's or Master's degree in a quantitative/technical field.
• Experience with Databricks, Azure, and Snowflake.
• Strong SQL and programming skills (Python, R, or Scala).
• Experience building data pipelines and ETL/ELT processes.
• Proven track record in data science and analytics.

Responsabilidades

• Develop, implement, and optimize statistical models and ML algorithms.
• Perform exploratory data analysis to identify patterns and opportunities.
• Conduct feature engineering, data preprocessing, transformation, and validation.
• Evaluate model performance and improve analytical solutions.
• Translate analytical results into actionable business recommendations.
• Design and maintain scalable data pipelines with Databricks.
• Integrate structured and unstructured data from multiple sources.
• Monitor data quality and integrity across pipelines.
• Collaborate with data engineers to build reliable solutions.
• Work with Spark and cloud platforms for big data processing.
• Utilize Azure services and ADL/ADF for data ingestion and analytics.

Conocimientos

Data Science

Machine Learning

Python

SQL

Databricks

Microsoft Azure

Snowflake

Azure Data Factory

Azure Data Lake

ETL/ELT

Data Pipelines

Data Engineering

Data Warehousing

Data Modeling

Feature Engineering

EDA

Big Data

Spark

Power BI

Tableau

Educación

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field

Herramientas

Databricks

Snowflake

Microsoft Azure

Azure Data Factory

Azure Data Lake

Apache Spark

Power BI

Tableau

Descripción del empleo

• Microsoft Azure
• Azure Data Factory
• Azure Data Lake

We 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 Responsibilities

Data Science, Analysis, and Modeling

• Develop, implement, and optimize statistical models and machine learning algorithms to solve complex business problems
• Perform exploratory data analysis (EDA) to identify patterns, trends, relationships, and opportunities within large datasets
• Conduct feature engineering, data preprocessing, transformation, and validation to prepare datasets for modeling and analysis
• Evaluate model performance and improve analytical solutions based on business and technical requirements
• Translate analytical results into actionable business recommendations

Data Engineering and ETL

• Design, build, maintain, and optimize scalable data pipelines and ETL/ELT processes using Databricks
• Integrate structured and unstructured data from multiple sources
• Support data transformation, cleansing, validation, and processing workflows
• Monitor and improve data quality, accuracy, consistency, and integrity
• Collaborate with data engineers to develop reliable and scalable data solutions
• Work with big data technologies and distributed processing frameworks such as Apache Spark

Azure Cloud and Data Platform

• Utilize Microsoft Azure services to support data ingestion, storage, transformation, processing, and analytics
• Work with Azure Data Factory (ADF) to develop and maintain data integration and orchestration workflows
• Work with Azure Data Lake for scalable cloud-based data storage and analytics
• Develop cloud-based data and analytics solutions following performance, scalability, and data governance best practices

Snowflake Data Warehouse

• Develop, manage, and optimize data warehouses and data marts in Snowflake
• Write and optimize SQL queries for data extraction, transformation, analysis, and reporting
• Improve query performance and ensure efficient data storage and retrieval
• Support integration between Snowflake, Databricks, Azure, and other enterprise data sources

Machine Learning and Statistical Analysis

• Apply appropriate machine learning algorithms and statistical methods to business use cases
• Develop predictive and analytical models using Python, R, and/or Scala
• Test, validate, and evaluate models using appropriate statistical and machine learning techniques
• Identify opportunities to use advanced analytics and machine learning to improve business outcomes and operational decision-making

Collaboration and Communication

• Partner with data engineers, data analysts, business leaders, and other cross-functional stakeholders to understand business and data requirements
• Translate business problems into technical and analytical solutions
• Communicate complex analytical findings clearly and concisely to technical and non-technical audiences
• Present insights, recommendations, and analytical results to business stakeholders
• Support data-driven decision-making across the organization

Innovation and Continuous Improvement

• Stay current with emerging trends and advancements in data science, artificial intelligence, machine learning, cloud computing, and big data technologies
• Identify opportunities to improve existing data, analytics, and machine learning processes
• Develop innovative solutions that improve efficiency, scalability, and business decision-making
• Promote best practices for data science, analytics, data engineering, and cloud technologies

Requirements

Education

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative or technical field

Experience

• Proven professional experience as a Data Scientist or in a closely related data and analytics role
• Hands-on experience working with Databricks, Microsoft Azure, and Snowflake
• Experience developing statistical models and machine learning solutions
• Experience designing and maintaining data pipelines and ETL/ELT processes
• Experience working with relational databases, data warehouses, and large datasets
• Strong proficiency in SQL
• Proficiency in at least one programming language such as Python, R, or Scala

Required Skills

• Data Science
• Machine Learning
• Statistical Modeling
• Predictive Analytics
• Python
• SQL
• Databricks
• Microsoft Azure
• Snowflake
• Azure Data Factory
• Azure Data Lake
• ETL/ELT
• Data Pipelines
• Data Engineering
• Data Warehousing
• Data Modeling
• Feature Engineering
• Data Preprocessing
• Exploratory Data Analysis (EDA)
• Data Quality and Data Integrity
• Relational Databases
• Cloud Computing
• Strong analytical and problem-solving skills
• Strong written and verbal communication skills
• Cross-functional collaboration

Preferred Qualifications

• Experience with big data technologies such as Apache Spark and Hadoop
• Experience with data visualization and business intelligence tools such as Microsoft Power BI or Tableau
• Certifications in Microsoft Azure, Databricks, or Snowflake
• Experience working in a similar industry or business domain
• Experience developing scalable analytics and machine learning solutions in cloud environments

Preferred Technology Stack

Cloud and Data Platforms: Microsoft Azure, Databricks, Snowflake

Programming: Python, R, Scala

Data and Query Languages: SQL

Data Engineering: ETL/ELT, Data Pipelines, Azure Data Factory, Azure Data Lake

Big Data: Apache Spark, Hadoop

Analytics: Machine Learning, Statistical Modeling, Predictive Analytics, Feature Engineering

Visualization: Power BI, Tableau

About The Role

This position is ideal 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.

Benefits

Why 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 December
• Major Medical Expense Insurance: Coverage up to $25,000,000.00 MXN
• Dental 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 Mexico
• Cell Phone Reimbursement & Transportation Subsidy
• Multicultural Exposure: Work with operations within Mexico and the United States
• MezTal Internal Events: Strike a healthy balance between your professional and personal goals
• Exclusive Discounts: Benefits with different companies for being part of MezTal
• Academic Agreements: Access to national universities and language schools