6sense is looking 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. The Sr. Data Scientist will lead and drive advanced data science initiatives to solve complex business problems and enhance productivity, strategic decision-making, and overall business success through AI solutions.
Requirements
- Mastery in advanced statistical methods, machine learning, and programming languages (Python, R, SQL).
- Designing tailored ML models, optimizing algorithms, and AI solution deployment.
- Designing efficient workflows, automation, and process improvements.
- Expertise in designing and deploying complex AI solutions, optimizing algorithms, and integrating models effectively.
- Proficient in automating workflows, improving processes, and enhancing efficiency in data collection, cleaning, analysis, and reporting.
- Ability to align data science goals with broader business objectives, leveraging insights for strategic decision-making.
- Understanding and integrating user needs and experiences into product development, using data to drive user-centric decisions.
Responsibilities
- 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.
- 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 and implement advanced AI models, utilizing techniques like transfer learning, ensemble methods, and neural networks for complex problem -solving.
Other
- 5+ years in data science, machine learning, and AI, with progressive tech leadership roles.
- Exceptional communication and leadership skills, managing data science teams.
- Driving innovation, staying updated with emerging tech, and ensuring ethical compliance.
- Effective collaboration with cross-functional teams and stakeholders, ensuring successful project delivery through teamwork.
- Demonstrated contributions through research publications and thought leadership in the data science domain.
