3.049 Empregos para Data Analyst Associate - Brasil

At AGM Tech Solutions, we partner with high impact enterprise and mid size clients to solve complex challenges through top-tier IT Talent. Our Direct client is hiring:

Position Title: Data Scientist

Location: Remote

Contract Position

Candidates must need to be incorporated as a PJ in Brazil!

Position Summary:

Programming proficiency in Python and R, with experience in other languages (e.g., SQL) for data manipulation and retrieval

Proficient in data wrangling and preprocessing with tools like Pandas, NumPy, and experience in managing both structured and unstructured data

Hands-on experience with large language models (LLMs) and understanding of advanced NLP techniques, such as text generation, summarization, and sentiment analysis

Expertise in Generative Al models (e.g., GANS, VAES, and transformer-based models like GPT, BERT) with hands-on experience in training, fine-tuning, and deploying these models

Experience with fine-tuning pretrained models and applying transfer learning techniques to improve generative model performance

Strong proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-Learn

Understanding of evaluation metrics and methods for Generative Al models and data-driven insights

Familiarity with cloud platforms (AWS, GCP, Azure) and their services for AI/ML, including model deployment and monitoring (e.g., AWS SageMaker, Google Al Platform)

Position Title: Data Scientist

Position Summary:

• Programming proficiency in Python and R, with experience in other languages (e.g., SQL) for data manipulation and retrieval
• Proficient in data wrangling and preprocessing with tools like Pandas, NumPy, and experience in managing both structured and unstructured data
• Hands-on experience with large language models (LLMs) and understanding of advanced NLP techniques, such as text generation, summarization, and sentiment analysis
• Expertise in Generative Al models (e.g., GANS, VAES, and transformer-based models like GPT, BERT) with hands-on experience in training, fine-tuning, and deploying these models
• Experience with fine-tuning pretrained models and applying transfer learning techniques to improve generative model performance
• Strong proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-Learn
• Understanding of evaluation metrics and methods for Generative Al models and data-driven insights
• Familiarity with cloud platforms (AWS, GCP, Azure) and their services for AI/ML, including model deployment and monitoring (e.g., AWS SageMaker, Google Al Platform)

Job Description

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:

• Work from home
• Flexible schedule
• Celebrations
• Special discounts
• Entertainment area
• Flexible work spaces
• Great work environment
• Private medical insurance

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

Job Description

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:

• Work from home
• Flexible schedule
• Celebrations
• Special discounts
• Entertainment area
• Flexible work spaces
• Great work environment
• Private medical insurance

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

Job Description

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:

• Work from home
• Flexible schedule
• Celebrations
• Special discounts
• Entertainment area
• Flexible work spaces
• Great work environment
• Private medical insurance

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

JOB SUMMARY

The Data Scientist will be a key contributor in designing and implementing advanced pricing models that drive revenue performance, customer value, and competitive positioning. The role involves full lifecycle model development, including data exploration, feature engineering, model building, simulation, and integration with pricing systems.

DUTIES & RESPONSIBILITIES

Develop and deploy machine learning and statistical models to support pricing decisions, demand forecasting, and revenue optimization.

Conduct data exploration and wrangle large, complex datasets related to bookings, customer behavior, ship inventory, pricing, promotions, and competitive dynamics.

Collaborate with revenue management, analytics, and finance teams to define modeling requirements, test model scenarios, and ensure solutions align with business goals.

Apply pricing science and economics concepts to improve segmentation, elasticity estimation, and inventory control decisions.

Assist in building simulation tools and pricing engines that operationalize models in real-time or batch environments.

Collaborate with data engineers to define data requirements and ensure model-ready pipelines.

Document methodologies, assumptions, and model limitations clearly for technical and business audiences.

Guide data developers to ensure data is accurate and consumable for data science projects

Provide executive-level summaries, visualizations, and recommendations for the senior leadership team.

Stay current on data science best practices and tools.

Perform other job-related duties as assigned.

QUALIFICATIONS

DEGREE TYPE:

Bachelor's Degree

FIELD(S) OF STUDY:

Data Science, Statistics, Economics, Operations Research, Computer Science, Applied Mathematics, or related field.

EXPERIENCE

Minimum 2 years of experience in a data science or quantitative role, ideally with exposure to pricing, forecasting, or optimization.

COMPETENCIES & SKILLS

• Experience building models using Python, R, or similar programming languages.
• Hands-on experience with SQL and large-scale data manipulation.
• Familiarity with optimization libraries, simulation frameworks, or revenue management systems is a plus.
• Familiarity with MLOps practices, including model monitoring, deployment pipelines, and reproducibility.
• Strong foundation in predictive modeling, time series, and price elasticity estimation.
• Working knowledge of pricing concepts such as demand curves, overbooking, dynamic pricing, and segmentation.
• Experience with version control - GitHub, cloud environments - AWS, and productionizing models is a plus.
• Ability to communicate clearly with both technical and non-technical stakeholders.
• A self-starter with strong problem-solving skills and a team-first mindset.

Come to one of the biggest IT Services companies in the world! Here you can transform your career!

Why to join TCS? Here at TCS we believe that people make the difference, that's why we live a culture of unlimited learning full of opportunities for improvement and mutual development. The ideal scenario to expand ideas through the right tools, contributing to our success in a collaborative environment.

We are looking for Data Scientist (Python) - Spanish / Case Study) who wants to learn and transform his career.

In this role you will:

• Expert knowledge of data modeling, visualization, advanced analytics,statistics and optimization, machine learning;
• Understanding of different data structures and coding languages(e.g.,Python, SQL);
• Experience in industry data science (e.g., AI, machine learning);
• Experience with machine learning libraries (e.g., TensorFlow, Scikit-learn, eras, Torch);
• Experience in AWS, DevOps, MLOps (preferred)

And much better if you stand out for:

Python, Time Series Forecasting, SQL, Analytics; Proficiency in English

Key Responsibilities:

Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics, Physics, Computer Science or Engineering

At least 5+ years of relevant working experience in an analytical role involvingdata extraction, analysis and statistical modelling;

Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala);

Solid understanding of time-series forecasting techniques;

Good hands-on skills in both feature engineering and hyperparameter optimization;

Able to write clean and tested code that can be maintained by other software engineers;

Able to craft effective data pipelines to transform your analyses from offline to production systems;

Self-motivated and a proactive problem solver who can work independently and in teams;

Connects both externally and internally to understand industry trends;

technology advances and outstanding processes or solutions;

Is collaborative and engages (strategic & tactical. Able to influence without authority, handle complex issues and implement positive change

Key Words:

Python, Time Series Forecasting, SQL, Analytics; Proficiency in English and Spanish.

<<>>

What do we offer?

• TCS Benefits – Brazil:
• Health insurance
• Dental Plan
• Life insurance
• Transportation vouchers
• Meal/Food Voucher
• Childcare assistance
• Gympass
• TCS Cares – free 0800 that provides psychological assistance (24 hrs/day), legal, social and financial assistance to associates
• Partnership with SESC
• Reimbursement of Certifications
• Free TCS Learning Portal – Online courses and live training
• International experience opportunity
• Discount Partnership with Universities and Language Schools
• Bring Your Buddy – By referring people you become eligible to receive a bonus for each hire
• TCS Gems – Recognition for performance
• Xcelerate – Free Mentoring Career Platform
• Tata Consultancy Services is an equal opportunity employer, our commitment to diversity & inclusion drives our efforts to provide equal opportunity to all candidates who meet our required knowledge & competency needs, irrespective of any socio-economic background, race, color, national origin, religion, sex, gender identity/expression , age, marital status, disability, sexual orientation or any others. We encourage anyone interested to build a career in TCS to participate in our recruitment & selection process.
• At Tata Consultancy Services we promote an inclusive culture, we always work for equity. This applies to Gender, People with Disabilities, LGBTQIA+, Religion, Race, Ethnicity. All our opportunities are based on these principles. We think of different actions of inclusion and social responsibility, in order to build a TCS that respects each person. Our motto is Inclusion without exception.

At TATA Consultancy Services we promote an inclusive culture, we always work for equity. This applies to Gender, People with Disabilities, LGBTQIA+, Religion, Race, Ethnicity. All our opportunities are based on these principles. We think of different actions of inclusion and social responsibility, in order to build a TCS that respects individuality. Come to be a TCSer!

#Buildingonbelief

RGS -

We’re looking for a Data Scientist ready to turn complex problems into powerful solutions.

If you have solid experience in Machine Learning , hold certifications in AWS and GCP , and are comfortable working with Python and TypeScript , this might be the perfect opportunity for you.

We’re especially interested in professionals with an academic background in Physics or Mathematics , who know how to navigate ambiguity with analytical rigor and a builder’s mindset.

Join a fast-growing company where data is at the core of every decision — and where your impact will go far beyond just models and metrics.

Overview

Overview : Your role will be to be part of growing team based in Barcelona , to create and support global digital developments for PepsiCo. As a Data Science Analyst , you will play a pivotal role in leveraging advanced analytics and machine learning to deliver impactful solutions across critical business topics such as Consumer Insights, Revenue Management, Supply Chain, Manufacturing, and Logistics. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of building deployable statistical/machine learning models, beginning from the discovery phase through to implementation. You’ll collaborate closely with process owners, product managers, and end-users to ensure your developments are aligned with business priorities and drive measurable outcomes. You will be an internal ambassador of the team’s culture around data and analytics fostering a culture of innovation, analytics, and collaboration fostering a culture of innovation, analytics, collaboration, and being a data driven leader . You will provide stewardship to colleagues in the areas that you are a specialist or you are specializing contributing to the team’s growth and success in data and analytics.

• Contributing member in a digital project acting as tech lead for the project.
• Act as a subject matter expert in one other digital project.
• Support lead contributor in innovation activities
• Partner with product managers in taking DS requirements and assessing DS components in roadmaps.
• Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
• Partner with ML engineers to industrialize solutions.
• Contribute with work activities that involve Business teams, other IT services and as required.
• Drive the use of the Platform toolset and to also focus on 'the art of the possible' demonstrations to the business as needed.
• Communicate with business stakeholders in the process of service design, training and knowledge transfer.
• Support large-scale experimentation and build data-driven models.
• Set KPIs and metrics to evaluate analytics solution given a particular use case.
• Refine requirements into modelling problems.
• Influence product teams through data-based recommendations.
• Research in state-of-the-art methodologies.
• Create documentation for learnings and knowledge transfer.
• Support in creation reusable packages or libraries.

• 4+ years’ experience building solutions in the commercial or in the supply chain space.
• 4+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus.
• 4+ years’ experience in ETL and/or data wrangling techniques. Fluent in SQL syntaxis.
• 2+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. Experiences with Deep Learning are a plus.
• 2+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Scala development.
• Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool.
• Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
• Experience with Agile methodology for team work and analytics ‘product’ creation. Fluent in Jira, Confluence.
• Experience with Azure cloud services is a must.
• Experience in Reinforcement Learning is a plus.
• Experience in Simulation and Optimization problems in any space is a plus.
• Experience with Bayesian methods is a plus.
• Experience with Causal inference is a plus.
• Experience with NLP is a plus.
• Experience with working with FAIR data is a plus.
• Experience with Responsible AI is a plus.
• Experience with distributed machine learning is a plus

• Mid-Senior level

• Full-time

• Information Technology

• Manufacturing and Food and Beverage Services