224 Ofertas de Data Scientist en Mexico

• Develop new or modify existing algorithms and features that leverage Python, SQL, Databricks, and PySpark to enhance data analytics and processing capabilities.
• Design, implement, and validate descriptive and predictive models, utilizing time series data to assess and predict equipment downtime and failure modes.
• Tune existing machine learning models.
• Work collaboratively with Product Owners and Data Engineers to define requirements, gather and curate data, and develop digital solutions to enhance equipment reliability and performance.
• Process and curate data from controllers across telematics systems, ensuring data quality and readiness for model training and development.
• Analyze, interpret, and model time series data to drive actionable insights for product performance and predictive maintenance.
• Communicate findings, challenges, and solutions effectively with global teams, stakeholders, and non-technical audiences.
  
  

• Proficiency in Python and SQL
• Experience with PySpark for big data processing
• Databricks
• Experience with tuning machine learning models
• Solid understanding of time series data analysis and predictive modeling
• Experience with real-time telemetry data acquisition from a network of distributed Modbus controllers is a plus.
• Industry experience with embedded controls for industrial or automotive applications
• Experience working in Mining, Power Generation, or related heavy equipment industries
• Familiarity with data engineering and pipeline development
• Experience with global teams and the ability to navigate cross-cultural interactions
  
  

• Full benefits: medical, dental, 401K match
• Ongoing professional development opportunities
• Flexible Hybrid schedule
• The opportunity to work on industry leading projects
  
  

• College, university, or equivalent Bachelor's degree in Engineering or other relevant technical disciplines.
• Minimum of 4 years of hands-on experience in data science, with a background in embedded controls engineering preferred.
• Proficiency in Python and SQL.
• Experience with PySpark for big data processing.
• Azure cloud experience is highly desired.
• Databricks experience is highly desired.
• Solid understanding of time series data analysis and predictive modeling.
• Proactive, self-motivated, and capable of working independently in a global team environment.
• Strong problem-solving skills with a proactive attitude and attention to detail.
  
  

We are looking for a Data Scientist to join the team, responsible for developing and sustaining statistical forecasting and analytics capabilities. This role will focus on building deployable time series forecasting models and machine learning solutions that directly impact forecast accuracy and bias , supporting key business functions across multiple regions and domains.

Responsibilities

• Design, build, and maintain statistical and machine learning models for time series forecasting in the context of integrated business planning.
• Contribute to forecasting engine , ensuring scalability, reliability, and performance in production environments.
• Collaborate closely with process owners, product owners, and business stakeholders to translate forecasting needs into robust technical solutions.
• Productionize data science models and pipelines, ensuring they are deployable, scalable, and maintainable.
• Work with distributed technologies (e.g., Spark, Python, Azure services ) to handle large-scale forecasting tasks.
• Monitor, evaluate, and improve forecast accuracy and bias through continuous iteration and model enhancement.
• Support cross-functional initiatives by providing data-driven insights and analytical expertise.

Required Qualifications

• Solid hands-on experience in productionizing Data Science solutions .
• Strong expertise in time series forecasting techniques (ARIMA, ARIMAX, Holt-Winters, regression analysis, etc.).
• Proficiency in Python for statistical modeling and machine learning.
• Experience with distributed data solutions (Spark, Azure services).
• Strong problem-solving skills, with the ability to work closely with both technical and business teams.

Preferred Qualifications

• Experience in machine learning model deployment in cloud environments (Azure preferred).
• Familiarity with Agile development processes.
• Strong communication and storytelling skills, with the ability to present insights to business stakeholders.

Ideal Candidate

The ideal candidate is a hands-on Data Scientist with a passion for solving complex forecasting challenges, skilled at building scalable solutions, and eager to collaborate with both technical peers and business partners to drive measurable improvements in forecasting accuracy.

We offer:

• 100% payroll scheme, benefits by law (IMSS, INFONAVIT, 12+ vacation days)
• Benefits above the law: Vacation premium 50%, 5 PTOs, 3 sick days, 10 guaranteed public holidays per year
• Major medical insurance, Dental and Vision plan for an employee and direct family members
• Minor Medical Insurance (Multiservicios Médicos Santander) for an employee and direct family members
• Life Insurance and funeral expenses
• 5% savings fund, uncapped (matched by the company in the end of the year)
• Grocery cards/vouchers (Vales de Despensa)
• 30 days End of the Year Bonus (Aguinaldo)
• Opportunity to work on bleeding-edge projects with a highly motivated and dedicated team all over the world
• Individual career development plan and support from the best experts
• Professional development opportunities (Linkedin Learning, Cloud certification programs, access to corporate LMS integrated with other learning platforms)
• Well-equipped office in a business area of Guadalajara (quiet room, games room, air hockey, PS5, Nintendo Switch and Xbox Series X, pool table, ping pong, snacks, smoothies, and much more)
• Corporate social events (yoga, massages, sport tournaments, discussion panels, technical talks, lunch & learns)
• Flexible working hours
• Opportunity to relocate to another country where the company's offices are present.

About Us:

Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, and Central and Eastern Europe.

To learn more about Grid Dynamics, please visit Follow us on Facebook, Twitter, and LinkedIn.

We are seeking a Data Scientist to support a client’s delivery platform and AI integration initiatives. This role will own the development of advanced data models, analytics, and machine learning solutions to enable AI-driven insights.

Responsibilities

• Build evaluation pipelines for AI/ML solutions supporting agentic services
• Design and implement models for data engineering, advanced analytics, and machine learning
• Apply expertise in Python, R, and SQL to deliver high-quality, enterprise-grade solutions
• Collaborate with full stack engineers and architects to integrate models into enterprise platforms
• Lead technical discussions and present recommendations to executive stakeholders
• Contribute to continuous improvement of evaluation frameworks and methodologies

Qualifications

• 10+ years of professional experience in computer science, data science, or related technical fields
• Proven expertise in Python, R, and SQL, with demonstrated delivery of scalable data science solutions
• Strong foundation in data engineering, feature engineering, modeling, and statistical analysis
• Experience with modern cloud platforms (Azure, AWS, or GCP) and production deployment of ML models
• Track record of leading teams, mentoring junior talent, and managing executive stakeholders
• Ability to design and deliver AI/ML pipelines in complex enterprise environments

Title: Data Scientist

Duration: 12+ Months

Location: Guadalajara, Mexico - 5 days in Office

Responsibilities

• Design and build end-to-end data pipelines: ingestion, transformation, labeling, feature engineering, training, validation, and deployment.

• Develop and maintain reproducible ML research workflows using Jupyter/Colab notebooks and version-controlled environments.

• Lead data labeling strategy: define annotation guidelines, ensure data quality, and automate labeling where possible.

• Conduct exploratory data analysis (EDA) and create scalable datasets for supervised and unsupervised ML.

• Train, evaluate, and optimize ML models, ensuring performance across multiple environments (dev, staging, prod).

• Implement MLOps best practices: experiment tracking, pipeline automation, CI/CD for ML, and monitoring model drift.

• Collaborate with cross-functional teams (ML engineers, software developers, product managers) to translate research outcomes into production-ready solutions.

• PhD in Computer Science, Data Science, Statistics, Applied Mathematics, or related field.

• 3+ years of research and applied industry experience in data science or ML.

• Proven experience in designing, building, and maintaining end-to-end ML pipelines.

• Strong programming skills in Python, with expertise in libraries like pandas, NumPy, scikit-learn, TensorFlow/PyTorch.

• Proficiency with notebook-based experimentation and data labeling pipelines.

• Solid understanding of statistical modeling, machine learning algorithms, and data quality management.

• Experience with SQL and data warehouses/lakes for large-scale data processing.

• Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, Vertex AI, SageMaker).

• Familiarity with cloud platforms (GCP, and containerization (Docker/Kubernetes).

• Experience automating data labeling workflows (e.g., active learning, weak supervision).

About You

You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally.

You are a data -driven professional passionate about turning complex data into actionable insights. You thrive on using advanced analytics, statistical modeling, and visualization tools to solve business problems. You enjoy working with cloud technologies and collaborating across teams to deliver data solutions that drive measurable impact.

You bring to Applaudo the following competencies:

• Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering , or a related field — or equivalent experience.
• Proven experience working with Azure cloud services for data processing and analytics.
• Strong proficiency in Python for data manipulation, statistical modeling, and machine learning.
• Solid knowledge of SQL for querying, data preparation, and optimization.
• Hands-on experience with Power BI for building dashboards and delivering insights.
• Ability to design and execute data -driven solutions to support business objectives.
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication skills to explain complex findings to technical and non-technical stakeholders.
• English proficiency (B2+), both written and spoken.

You will be accountable for the following responsibilities:

• Collect, clean, and transform data from multiple sources, ensuring data quality and reliability.
• Build and implement statistical models and machine learning algorithms to generate insights and forecasts.
• Design and maintain Power BI dashboards to communicate data insights to business leaders and stakeholders.
• Leverage Azure cloud services to manage and optimize data pipelines and analytical solutions.
• Write and optimize SQL queries to extract, analyze, and transform large datasets.
• Collaborate with cross-functional teams (engineering, operations, business) to align data science solutions with organizational goals.
• Translate business problems into data science approaches and deliver actionable recommendations.
• Stay current with emerging tools and methods in data science, cloud analytics, and visualization .

Additional Information

Here at Applaudo Studios values as trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region!

We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence.

Some of our perks and benefits:

• Celebrations
• Special discounts*
• Entertainment area*
• Modern Work Spaces*
• Great work environment
• Private medical insurance*

*Benefits may vary according to your location and/or availability. Request further information when applying.

S&P Enterprise Data Organization

Data Scientist

The Team:

As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative.

The Impact:

• The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years.
• In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems.

What’s in it for you:

• Be a part of a global company and build solutions at enterprise scale
• Collaborate with a highly skilled and technically strong team
• Contribute to solving high complexity, high impact problems

Key Responsibilities

• Design, Develop and Deploy ML powered products and pipelines
• Play a central role in all stages of the data science project life cycle, including:
• Identification of suitable data science project opportunities
• Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements
• Evaluation/interpretation of results and presentation to business leaders
• Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments
• Training large models both for experimentation and production
• Develop production ready pipelines for enterprise scale projects
• Perform code reviews & optimization for your projects and team
• Spearhead deployment and model scaling strategies
• Stakeholder management and representing the team in front of our leadership
• Leading and mentoring by example including project scrums

What We’re Looking For:

• 2+ years of professional experience in Data Science domain
• Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.)
• Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures
• Expertise in probabilistic machine learning model for classification, regression & clustering
• Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets.
• Exposure to Information Retrieval, Web scraping and Data Extraction at scale
• OOP Design patterns, Test-Driven Development and Enterprise System design
• SQL (any variant, bonus if this is a big data variant)
• Linux OS (e.g. bash toolset and other utilities)
• Version control system experience with Git, GitHub, or Azure DevOps.
• Problem-solving and debugging skills
• Software craftsmanship, adherence to Agile principles and taking pride in writing good code
• Techniques to communicate change to non-technical people

Nice to have

• Prior work to show on Github, Kaggle, StackOverflow etc.
• Cloud expertise (AWS and GCP preferably)
• Expertise in deploying machine learning models in cloud environments
• Familiarity in working with LLMs

Location: Mexico City (Santa Fe, 2-3 days onsite a week)

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.

Data Scientist

Responsibilities

• Interpret and analyze data problems using advanced modeling techniques
• Build robust data pipelines using big-data tools
• Combine data across different data systems and streams
• Maintain data quality and integrity
• Independently build analytic systems, predictive models, and optimization engines within a cloud environment
• Test, monitor, and improve performance of data-driven products using industry leading practices
• Ongoing self-improvement and experimentation with new machine-learning models and techniques
• Visualize data, create reports and dashboards, and build interactive apps
• Plan projects and timelines for assigned projects.
• Communicate competently with business stakeholders up to the director-level
• Be a primary point contact for assigned business stakeholders
• Responsible for change-management and urgent requests
• Data Science Skillset
• Experience with statistical methods such t-test of means, Tukey-HSD tests of means on groups, ANOVA, Proportion tests, data normalization and scaling, univariate and multivariate outlier detection.

Must Have Experience

• Working with LLM APIs (Open AI, Gemini, etc)
• Recommendation models
• Propensity/Churn modeling
• Model explain ability using SHAP
• Frontend development (Flask, Streamlit, ReactJS)
• Chatbot development (Teams API or similar)

Must Have Languages

• Python
• SQL
• PySpark
• Java Script

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get The Future You Want |

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an

Applicant

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in Mexico must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in Mexico by Capgemini.

About You

You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally.

You are a data -driven professional passionate about turning complex data into actionable insights. You thrive on using advanced analytics, statistical modeling, and visualization tools to solve business problems. You enjoy working with cloud technologies and collaborating across teams to deliver data solutions that drive measurable impact.

You bring to Applaudo the following competencies:

• Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering , or a related field — or equivalent experience.
• Proven experience working with Azure cloud services for data processing and analytics.
• Strong proficiency in Python for data manipulation, statistical modeling, and machine learning.
• Solid knowledge of SQL for querying, data preparation, and optimization.
• Hands-on experience with Power BI for building dashboards and delivering insights.
• Ability to design and execute data -driven solutions to support business objectives.
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication skills to explain complex findings to technical and non-technical stakeholders.
• English proficiency (B2+), both written and spoken.

You will be accountable for the following responsibilities:

• Collect, clean, and transform data from multiple sources, ensuring data quality and reliability.
• Build and implement statistical models and machine learning algorithms to generate insights and forecasts.
• Design and maintain Power BI dashboards to communicate data insights to business leaders and stakeholders.
• Leverage Azure cloud services to manage and optimize data pipelines and analytical solutions.
• Write and optimize SQL queries to extract, analyze, and transform large datasets.
• Collaborate with cross-functional teams (engineering, operations, business) to align data science solutions with organizational goals.
• Translate business problems into data science approaches and deliver actionable recommendations.
• Stay current with emerging tools and methods in data science, cloud analytics, and visualization .

Additional Information

Here at Applaudo Studios values as trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region!

We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence.

Some of our perks and benefits:

• Celebrations
• Special discounts*
• Entertainment area*
• Modern Work Spaces*
• Great work environment
• Private medical insurance*

*Benefits may vary according to your location and/or availability. Request further information when applying.

About You

You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally.

You are a data -driven professional passionate about turning complex data into actionable insights. You thrive on using advanced analytics, statistical modeling, and visualization tools to solve business problems. You enjoy working with cloud technologies and collaborating across teams to deliver data solutions that drive measurable impact.

You bring to Applaudo the following competencies:

• Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering , or a related field — or equivalent experience.
• Proven experience working with Azure cloud services for data processing and analytics.
• Strong proficiency in Python for data manipulation, statistical modeling, and machine learning.
• Solid knowledge of SQL for querying, data preparation, and optimization.
• Hands-on experience with Power BI for building dashboards and delivering insights.
• Ability to design and execute data -driven solutions to support business objectives.
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication skills to explain complex findings to technical and non-technical stakeholders.
• English proficiency (B2+), both written and spoken.

You will be accountable for the following responsibilities:

• Collect, clean, and transform data from multiple sources, ensuring data quality and reliability.
• Build and implement statistical models and machine learning algorithms to generate insights and forecasts.
• Design and maintain Power BI dashboards to communicate data insights to business leaders and stakeholders.
• Leverage Azure cloud services to manage and optimize data pipelines and analytical solutions.
• Write and optimize SQL queries to extract, analyze, and transform large datasets.
• Collaborate with cross-functional teams (engineering, operations, business) to align data science solutions with organizational goals.
• Translate business problems into data science approaches and deliver actionable recommendations.
• Stay current with emerging tools and methods in data science, cloud analytics, and visualization .

Additional Information

Here at Applaudo Studios values as trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region!

We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence.

Some of our perks and benefits:

• Celebrations
• Special discounts*
• Entertainment area*
• Modern Work Spaces*
• Great work environment
• Private medical insurance*

*Benefits may vary according to your location and/or availability. Request further information when applying.