Remote Lead Data Scientist
Thoughtworks
πRemote - Romania
Please let Thoughtworks know you found this job on JobsCollider. Thanks! π
Job highlights
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
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