Principal Data Scientist

Summary

Join 6sense as a Principal Data Scientist and lead advanced data science initiatives. Leverage your expertise in statistical methods, machine learning, and programming to design and implement complex AI solutions. You will solve business problems, optimize algorithms, and deploy AI models to provide data-driven insights. Collaborate with cross-functional teams, stay updated on AI advancements, and communicate effectively with stakeholders. This role requires a Ph.D. or Master's degree and 12+ years of experience in data science with progressive leadership roles. 6sense offers a competitive salary, benefits, and a growth-oriented culture.

Requirements

• Ph.D. or Master's in Computer Science, Data Science, or related field
• 12+ years in data science, machine learning, and AI, with progressive tech leadership roles
• Mastery in Python, R, SQL, and advanced statistical and ML techniques
• Designing tailored ML models, optimizing algorithms, and AI solution deployment
• Designing efficient workflows, automation, and process improvements
• Exceptional communication and leadership skills, managing data science teams
• Driving innovation, staying updated with emerging tech, and ensuring ethical compliance
• Effective collaboration, adaptability to changing requirements and circumstances
• Published research or thought leadership in reputable journals or conferences

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
• 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
• Understand and consider the ethical and legal implications of data-driven products and solutions, ensuring responsible and compliant development practices

Preferred Qualifications

• Mastery in advanced statistical methods, machine learning, and programming languages (Python, R, SQL)
• Innovative Problem-Solving: Proactive in identifying innovative data-driven insights, leveraging cutting-edge technologies, and challenging existing approaches
• 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
• Strong communication skills to convey complex insights to stakeholders and effective leadership in managing data science teams
• Willingness to stay updated with emerging trends, methodologies, and technologies, and adapt to changing requirements in the field
• Understanding and adherence to ethical and legal implications related to data-driven products and solutions
• 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
• 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
• Ability to adapt to changing requirements and circumstances, ensuring the successful delivery of AI solutions in dynamic environments
• Efficiently manage time and prioritize tasks to meet project deadlines and organizational goals
• Commitment to maintaining high-quality standards, adhering to compliance requirements, and ensuring data accuracy and validity

Benefits

• Generous health insurance coverage
• Life, and disability insurance
• A 401K employer matching program
• Paid holidays
• Self-care days
• Paid time off (PTO)
• Bonus program or commission plan
• Stock options
• Health coverage
• Paid parental leave
• Generous paid time-off and holidays
• Quarterly self-care days off
• Stock options
• Access to our LinkedIn Learning platform
• Quarterly wellness education sessions