Job Closed
This listing is no longer active.
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.
Lead Data Scientist - Refer
Location
Brazil
Posted
76 days ago
Salary
0
Seniority
Lead
Job Description
Lead Data Scientist - Refer
Referrals Only
Data scientists at Thoughtworks are responsible for leading and executing data science projects. They employ their profound expertise in statistics, modeling, machine learning algorithms and data mining methodologies. They integrate this expertise with a comprehensive understanding of related domains to render business value and illuminate data-driven insights, facilitating clear and effective decision-making processes. Their responsibilities encompass devising strategies, executing plans, operationalizing solutions and articulating the tangible business outcomes achieved. Collaborating with cross-functional teams is pivotal, as they adeptly convey their discoveries 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 responsibilities - You will lead and manage data science projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration. - You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning. - You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues. - You will design, develop and implement data science strategies that drive measurable business results. - You will design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action. - You will use quality metrics to select machine learning models that will be deployed in the production environment. - You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind. - You will contribute to the growth of the data science community along with promoting a culture of data literacy within the organization. - You will address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility). - You will work with CD4ML practices and data versioning tools. Job qualifications Technical Skills - You have experience with databricks - You have experience with statistical modeling, hypothesis testing, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects. - You understand about Gen/AI and LLMs - You have practical knowledge of Google Cloud Platform (GCP) and its core services. - 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 have experience with BigQuery for data modeling, querying, and performance optimization. - 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 ensure compliance with data privacy regulations and ethical standards when handling sensitive information. - You have practical knowledge of Machine Learning (ML) concepts and workflows. - Advanced English is required Professional Skills - 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. - You are a proven leader with a track record of encouraging teammates in their professional development and relationships. - Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business. Other things to know Learning & Development 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. About Thoughtworks Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Onsite See here our AI policy.
Related Guides
Related Categories
Related Job Pages
More Data Scientist Jobs
• Investigate FP/FN and product escalations from PS and SOCC related to BMP and Account Protector. • Perform deep-dive analysis on traffic patterns, request signatures, behavioral signals, and telemetry to identify root causes. • Develop and validate targeted fixes — rule tuning, threshold adjustments, feature engineering — and communicate findings clearly to teams. • Analyze trends across case history to identify recurring FP/FN patterns and systemic gaps in detection coverage. • Author well-scoped, well-documented research tickets for novel or unresolved issues, providing sufficient context to accelerate resolution by the expert-DS team. • Serve as the technical bridge between PS/SOCC operations and the core data science research group — translating operational case data into actionable research signals.
• Develop data solutions in collaboration with other team members and software engineering teams that meet and anticipate business goals and strategies • Work with senior data science engineers in analyzing and understanding all aspects of data, including source, design, insight, technology and modeling • Develop and manage scalable data processing platforms for both exploratory and real-time analytics • Oversee and develop algorithms for quick data acquisition, analysis and evolution of the data model to improve search and recommendation engines. • Document and demonstrate solutions • Design system specifications and provide standards and best practices • Support and mentor junior data engineers by providing advice and coaching • Make informed decisions quickly and taking ownership of services and applications at scale • Be a persistent, creative problem solver, constantly striving to improve and iterate on both processes and technical solutions • Remain cool and effective in a crisis • Understand business needs and know how to create the tools to manage them • Take initiative, own the problem and own the solution • Other duties as assigned
Data Scientist
FingerprintThe device identity platform for high-scale applications. Powered by the world's most accurate visitor identifier.
• Develop algorithms that transform raw, noisy, and unlabeled data into insights about browsers and devices • Design and implement supervised learning models to improve detection accuracy • Partner with ML Engineers, Data Scientists, and Software Engineers to push forward our technical expertise • Conduct exploratory data analysis to investigate anomalies and ad-hoc questions • Run experiments to solve ML engineering challenges like real-time inference and training automation
• Lead the full development cycle of machine learning models, from prototyping and feature engineering to validation and deployment, ensuring scalable and production-ready solutions. • Apply statistical techniques such as A/B testing and back-testing, especially in imbalanced classification problems where precision and recall are critical. • Support strategic initiatives such as detecting property undervaluation, process automation, and the creation of predictive tools for new business verticals. • Translate complex findings into clear, actionable insights, delivering results to technical and non-technical audiences, including C-level stakeholders. • Act as mentor and technical guide for the Data Science team, reviewing code, setting standards, and fostering a collaborative, high-performing culture.



