Thoughtworks is looking to solve complex business problems by leveraging data science, machine learning, and advanced statistical techniques to generate business value and enable clear decision-making.
Requirements
- 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.
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 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.
- You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity.
Other
- 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.
- You will interact with clients from diverse domains, addressing their challenging problems.
- 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.
