Senior Data Scientist

Aceleradora Ágil; Brasil; Presencial; BRL 120.000 - 180.000; Tempo integral

Resumo da oferta

Aceleradora Ágil is seeking a Mid-Senior level Data Scientist to apply advanced statistics and machine learning techniques to solve complex business problems. You'll work collaboratively on impactful projects, developing strategies that drive measurable business results while also guiding and mentoring junior team members. Join us in shaping data-driven decision-making in the tech industry through innovation and ethical practices.

Serviços

Learning and development programs

Interactive career tools

Qualificações

• Experience with end-to-end data science projects.
• Proficiency in machine learning techniques.
• Strong understanding of AI specializations like NLP or computer vision.

Responsabilidades

• Collaborate to craft impactful data science solutions.
• Conduct experiments and develop hypotheses.
• Communicate technical findings to stakeholders.

Conhecimentos

Statistical modeling

Machine learning

Deep learning

Data preprocessing

Data analysis

Visualization techniques

Communicating findings

Ferramentas

R

Python

Descrição da oferta de emprego

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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 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
  
  

Job Qualifications

Technical Skills

• 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
  
  

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
  
  

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.

Job Details

Country: Brasil

City: Brasil

Date Posted: 06-23-2025

Industry: Information Technology

Employment Type: Regular

About Thoughtworks

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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