Senior Data Scientist

Summary

Join Thoughtworks as a Data Scientist and leverage your expertise in statistics, modeling, machine learning, and data mining to drive business value and insights. You will collaborate with cross-functional teams, communicate findings to stakeholders, and contribute to the growth of the data science community. This role involves working on diverse projects, crafting data science solutions, conducting experiments, and developing strategies to solve complex business problems. You will also be responsible for ensuring data quality and security, providing guidance to junior team members, and staying up-to-date with industry advancements.

Requirements

• Portuguese speaker
• Advanced English level is required
• You must have experience with Python and PySpark
• Hands-on experience in projects with Databricks
• 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 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 test
• 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 don’t 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

Responsibilities

• 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

Benefits

• 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