Principal Data Scientist

Our Mission: 

6sense is on a mission to revolutionize how B2B organizations create revenue by predicting customers most likely to buy and recommending the best course of action to engage anonymous buying teams. 6sense Revenue AI is the only sales and marketing platform to unlock the ability to create, manage and convert high-quality pipeline to revenue. 

Our People: 

People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Accountability, Growth Mindset, Integrity, Fun and One Team. Every 6sensor plays a part in defining the future of our industry-leading technology.  6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. 

We want 6sense to be the best chapter of your career. 

Purpose of the Job
Principal Data Scientist leads and drives advanced data science initiatives within the organization.  By leveraging mastery in advanced statistical methods, machine learning, and programming, the Principal Data Scientist is responsible for designing and implementing complex AI solutions. This role involves innovatively solving business problems, optimizing algorithms, and deploying AI models to provide data-driven insights that align with the organization's strategic goals. Additionally, the Principal Data Scientist ensures efficient workflows, automates processes, and effectively communicates insights to stakeholders, aiming to enhance productivity, strategic decision-making, and overall business success.

  Responsibilities & Accountabilities
• Lead the design and development of complex AI solutions, employing advanced techniques to optimize algorithms and data sets for superior performance.
• Design and implement experiments to rigorously evaluate AI solution performance and provide valuable insights for refinement.
• Develop detailed AI solution requirements and effectively manage the development process, adapting to changing circumstances and requirements.
• Collaborate effectively with cross-functional teams and stakeholders, ensuring successful delivery while adapting to evolving needs and circumstances.
• Stay updated with the latest trends and advancements in AI technology, incorporating newfound knowledge into solution design and development.
• Apply mastery of statistical methods, machine learning algorithms, and programming languages to analyze unstructured data and derive actionable insights.
• Develop novel modeling techniques and algorithms, utilizing advanced methodologies like Bayesian inference, reinforcement learning, and causal inference.
• Create scalable models capable of handling large volumes of real -time data, ensuring transparency and explainability in the model's functioning.
• Develop models that inform strategic decision-making at the highest organizational levels, leveraging advanced machine learning techniques.
• Align business objectives with innovative data science solutions, proactively identifying opportunities for data-driven insights and product innovations. • Develop and implement advanced AI models, utilizing techniques like transfer learning, ensemble methods, and neural networks for complex problem -solving.
• Design and implement efficient workflows, automate data -related tasks, and lead process improvement initiatives to enhance productivity and data accuracy.
• Lead product development efforts, demonstrating an understanding of the business model and leveraging data for product decision-making and roadmap planning. Ethical Product Development: Understan