You 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 levelExperience in one or more clouds: AWS, Azure and/or GCP and knowledge of Databricks desirableYou have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projectsYou understand the specialized areas of AI and possess experience with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and testYou 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 reliability and you 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 neededOther things to knowLearning & DevelopmentThere 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.About ThoughtworksThoughtworks 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.Sign up for our monthly careers newsletter#J-18808-Ljbffr
