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.Job responsibilitiesYou will work collaboratively with teams/products, crafting data science and machine learning solutions that generate a big impact on customersYou will conduct experiments and develop hypotheses to solve business problems using advanced statistics techniquesYou will develop and implement data science strategies that drive measurable business resultsYou will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mindYou will interact with clients from diverse domains, addressing their challenging problemsYou 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 spaceYou will address ethical concerns in data science, including privacy, bias and fairness, while adhering to ethical guidelinesJob qualificationsTechnical SkillsAdvanced English and Spanish levelYou have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projectsYou 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 othersIt 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 testYou have used some declarative database query language (SQL) to prepare datasets for analysis, as well as to characterize their behaviorYou 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 PythonYou gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrityYou analyze datasets using statistical and visualization techniques to identify patterns, trends and relationshipsYou develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processesYou evaluate model performance using appropriate metrics and validate models to ensure robustness and reliabilityYou interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizationsYou are aware of data privacy regulations and ethical standards when handling sensitive informationProfessional SkillsYou 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 wayYou are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectivesYou don't shy away from risks or conflicts, instead you take them on and skillfully manage themYou are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their workYou enjoy influencing others and always advocate for technical excellence while being open to change when needed
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