Senior Data Scientist

Summary

Join Thoughtworks as a Data Scientist and leverage your deep technical expertise to craft impactful data science and machine learning solutions for diverse clients. You will collaborate with cross-functional teams, conduct experiments, develop strategies, and communicate findings effectively to both technical and non-technical stakeholders. Responsibilities include implementing end-to-end data science projects, ensuring data quality, and adhering to ethical guidelines. Thoughtworks offers a supportive environment with opportunities for professional development and career growth. The role involves working on a range of projects and solving complex business problems using advanced statistical techniques and machine learning models. You will contribute to the growth of the data science community and mentor junior team members.

Requirements

• Possess advanced English skills
• Have experience with GCP Cloud
• Have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects
• Understand the specialized areas of AI and possess experience with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)
• Have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test
• Gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity
• Analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships
• Develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes
• Evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability
• Interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations
• Be aware of data privacy regulations and ethical standards when handling sensitive information
• 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
• Be resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives
• Not shy away from risks or conflicts, instead take them on and skillfully manage them
• Be eager to coach, mentor and motivate others and aspire to influence teammates to take positive action and accountability for their work
• Enjoy influencing others and always advocate for technical excellence while being open to change when needed

Responsibilities

• Work collaboratively with teams/products, crafting data science and machine learning solutions that generate a big impact on customers
• Conduct experiments and develop hypotheses to solve business problems using advanced statistics techniques
• Develop and implement data science strategies that drive measurable business results
• Communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind
• Interact with clients from diverse domains, addressing their challenging problems
• 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
• Address ethical concerns in data science, including privacy, bias and fairness, while adhering to ethical guidelines

Benefits

Learning & Development opportunities: interactive tools, numerous development programs and teammates who want to help you grow