[Hiring] Lead Data Scientist @Referrals Only

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 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 inception to deployment of models.
• Experience with statistical modeling, hypothesis testing, machine learning, deep learning, optimization, and other data science techniques.
• Specialty in at least one area of AI (e.g., NLP, computer vision, Generative AI).
• Experience with R, Python, or equivalent statistical/data analysis tools.
• Ability to gather and preprocess large volumes of structured and unstructured data.
• Experience analyzing datasets using statistical and visualization techniques.
• Development and implementation of machine learning models, algorithms, and predictive analytics.
• Evaluation of model performance using appropriate metrics.
• Effective communication of findings and insights to non-technical stakeholders.
• Compliance with data privacy regulations and ethical standards.

Requirements

• Understanding of stakeholder management and ability to liaise between clients and key stakeholders.
• Resilience in ambiguous situations and adaptability in approach to challenges.
• Willingness to take on risks or conflicts and manage them skillfully.
• Desire to coach, mentor, and motivate others.
• Proven leadership with a track record of encouraging professional development.
• Natural ability to cultivate strong partnerships and relationship building.

Benefits

• Support for career development through interactive tools and numerous development programs.
• Commitment to fairness and responsible AI in recruitment processes.
• Reasonable accommodations for qualified applicants with disabilities or religious beliefs.
• Engagement in an interactive process for accommodation requests.
• Transparency regarding project changes during the recruitment process.