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Thoughtworks

Lead Data Scientist

УдалённоEcuador только
Опубликовано
Роль
Data Science
Опыт
Лид
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Коротко по делу

Lead data scientist for end-to-end AI/ML projects, from framing and modeling to production and stakeholder communication. Needs strong statistics, machine learning/deep learning, Python/R or equivalent, and at least one AI specialty such as NLP, computer vision, or Generative AI. Quito, Ecuador role marked remote.

Ключевые навыки

R/Pythonstatistical modelingmachine learning

Обязательные навыки

hypothesis testingdeep learningoptimizationNLP/computer vision/Generative AIdata preprocessingdata visualizationpredictive analyticsCD4MLdata versioning tools

Чем предстоит заниматься

  • Lead and manage data science projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration.
  • Collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning.
  • Be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues.
  • Design, develop and implement data science strategies that drive measurable business results.
  • Design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action.
  • Use quality metrics to select machine learning models that will be deployed in the production environment.
  • Communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind.
  • Contribute to the growth of the data science community along with promoting a culture of data literacy within the organization.
  • Address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility).
  • Work with CD4ML practices and data versioning tools.
  • 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.
  • Ensure compliance with data privacy regulations and ethical standards when handling sensitive information.

Что требуется

  • Experience in leading the analysis and modeling of different datasets and overseeing an inception to deploying and productionizing the models.
  • Experience with statistical modeling, hypothesis testing, 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 a speciality 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.
  • 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.
  • Resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
  • Don’t shy away from risks or conflicts, instead take them on and skillfully manage them.
  • 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.
  • Proven leader with a track record of encouraging teammates in their professional development and relationships.
  • Cultivating strong partnerships comes naturally to you; understand the importance of relationship building and how it can bring new opportunities to our business.

Преимущества

  • There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you.
  • Career is supported by interactive tools, numerous development programs and teammates who want to help you grow.
  • Empowering employees in their career journeys.

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator.

🇺🇸 Соединенные ШтатыTechnology ConsultingКрупнаяthoughtworks.com/
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