Vaga de Senior Data Scientist (Applied Science)

Advanced English and Spanish level You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects} You have developed impact evaluation studies using experimental and observational techniques, such as RCT (Randomized Control Trials), Econometric techniques such as Difference in Differences, synthetic controls, instrumental variables, and Propensity Score Matching, among others It is nice to have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test You have used some declarative database query language (SQL) to prepare datasets for analysis, as well as to characterize their behavior You have intermediate command of some scripting language oriented to data analysis (R and/or Python), having as a base handling of flows, conditions, functions; as well as comfort using the main stack of libraries such as tidyverse for R, pandas and statsmodels for Python You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations You are aware of data privacy regulations and ethical standards when handling sensitive information You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You dont shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed Advanced English and Spanish level You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects} You have developed impact evaluation studies using experimental and observational techniques, such as RCT (Randomized Control Trials), Econometric techniques such as Difference in Differences, synthetic controls, instrumental variables, and Propensity Score Matching, among others It is nice to have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test You have used some declarative database query language (SQL) to prepare datasets for analysis, as well as to characterize their behavior You have intermediate command of some scripting language oriented to data analysis (R and/or Python), having as a base handling of flows, conditions, functions; as well as comfort using the main stack of libraries such as tidyverse for R, pandas and statsmodels for Python You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations You are aware of data privacy regulations and ethical standards when handling sensitive information You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You dont shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed Advanced English and Spanish level You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects} You have developed impact evaluation studies using experimental and observational techniques, such as RCT (Randomized Control Trials), Econometric techniques such as Difference in Differences, synthetic controls, instrumental variables, and Propensity Score Matching, among others It is nice to have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test You have used some declarative database query language (SQL) to prepare datasets for analysis, as well as to characterize their behavior You have intermediate command of some scripting language oriented to data analysis (R and/or Python), having as a base handling of flows, conditions, functions; as well as comfort using the main stack of libraries such as tidyverse for R, pandas and statsmodels for Python You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations You are aware of data privacy regulations and ethical standards when handling sensitive information You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You dont shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed Data scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and effective decision making. They are responsible for the strategy, implementation, productionization and articulation of business impact. They collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. You will work collaboratively with teams/products, crafting data science and machine learning solutions that generate a big impact on customers You will conduct experiments and develop hypotheses to solve business problems using advanced statistics techniques You will develop and implement data science strategies that drive measurable business results You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind You will interact with clients from diverse domains, addressing their challenging problems You will contribute to the growth and knowledge sharing within the data science community, with a focus on latest tech trends in the data science and machine learning space You will address ethical concerns in data science, including privacy, bias and fairness, while adhering to ethical guidelines Advanced English and Spanish level You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects} You have developed impact evaluation studies using experimental and observational techniques, such as RCT (Randomized Control Trials), Econometric techniques such as Difference in Differences, synthetic controls, instrumental variables, and Propensity Score Matching, among others It is nice to have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test You have used some declarative database query language (SQL) to prepare datasets for analysis, as well as to characterize their behavior You have intermediate command of some scripting language oriented to data analysis (R and/or Python), having as a base handling of flows, conditions, functions; as well as comfort using the main stack of libraries such as tidyverse for R, pandas and statsmodels for Python You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations You are aware of data privacy regulations and ethical standards when handling sensitive information You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You dont shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed Advanced English and Spanish level You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects} You have developed impact evaluation studies using experimental and observational techniques, such as RCT (Randomized Control Trials), Econometric techniques such as Difference in Differences, synthetic controls, instrumental variables, and Propensity Score Matching, among others It is nice to have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test You have used some declarative database query language (SQL) to prepare datasets for analysis, as well as to characterize their behavior You have intermediate command of some scripting language oriented to data analysis (R and/or Python), having as a base handling of flows, conditions, functions; as well as comfort using the main stack of libraries such as tidyverse for R, pandas and statsmodels for Python You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations You are aware of data privacy regulations and ethical standards when handling sensitive information You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You dont shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. Country: Brasil City: Brasil Date Posted: 10-11-2024 Industry: Information Technology Employment Type: Regular Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world. Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.