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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. Over 30 years of delivering extraordinary impact with clients. Helping clients solve complex business problems with technology as the differentiator.
Lead Data Scientist
Location
Worldwide
Posted
49 days ago
Salary
C$141K - C$226K / year
Seniority
Lead
Job Description
Lead Data Scientist
Thoughtworks
Role Description Lead Data scientists at Thoughtworks are responsible for leading and executing data science projects. They employ their profound expertise in statistics, modeling, machine learning algorithms, and data mining methodologies. They integrate this expertise with a comprehensive understanding of related domains to render business value and illuminate data-driven insights, facilitating clear and effective decision-making processes. Their responsibilities encompass: - Devising strategies, executing plans, and operationalizing solutions. - Articulating tangible business outcomes achieved. - Collaborating with cross-functional teams and conveying discoveries to both technical and non-technical stakeholders. - Staying up-to-date with industry advancements, ensuring data quality and security. - Providing guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Qualifications - Experience in leading the analysis and modeling of different datasets and overseeing the 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. - Understanding of specialized areas of AI with a specialty in at least one (e.g., NLP, computer vision, Generative AI). - Experience with R, Python, or equivalent statistical/data analysis tools, capable of writing 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. - Experience analyzing datasets using statistical and visualization techniques to identify patterns, trends, and relationships. - Development and implementation of machine learning models, algorithms, and predictive analytics to solve specific business problems or improve existing processes. - Evaluation of model performance using appropriate metrics and validation of models to ensure robustness and reliability. - Ability to interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations, and visualizations. - Ensuring compliance with data privacy regulations and ethical standards when handling sensitive information. Requirements - Understanding the importance of stakeholder management and ability to liaise between clients and other key stakeholders throughout projects. - Resilience in ambiguous situations and adaptability in approaching challenges from multiple perspectives. - Willingness to take on risks or conflicts and skillfully manage them. - Eagerness to coach, mentor, and motivate others, aspiring to influence teammates positively. - Proven leadership with a track record of encouraging teammates in their professional development and relationships. - Natural ability to cultivate strong partnerships and understand the importance of relationship building. Benefits - Support for career development through interactive tools and numerous development programs. - Empowerment in career journeys with a focus on helping each other grow.
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