Lead Data Scientist

Summary

Join Thoughtworks and thrive as a data scientist, working collaboratively with teams to craft data science and machine learning solutions that generate a big impact on customers. You'll conduct experiments, develop hypotheses, and communicate technical findings to stakeholders.

Requirements

• Experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects
• Understanding of specialized areas of AI and experience with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)
• Experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test
• Ability to gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity
• Ability to analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships
• Ability to develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes
• Ability to evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability
• Awareness of data privacy regulations and ethical standards when handling sensitive information
• Understanding of stakeholder management and ability to liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way
• Ability to be resilient in ambiguous situations and adapt role to approach challenges from multiple perspectives
• Ability to coach, mentor and motivate others and aspire to influence teammates to take positive action and accountability for their work

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

No one-size-fits-all career path; ability to develop career in own way with support from interactive tools, numerous development programs and teammates who want to help grow