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

Performance Measurement
• AI Solution Effectiveness: Measure the effectiveness of AI solutions developed by assessing their impact on solving complex business problems.
• Model Performance and Optimization: Evaluate and optimize machine learning models to ensure they meet predefined performance metrics and business objectives.
• Innovative Solutions Impact: Assess the impact of innovative data science solutions on driving insights, product offerings, and business growth.
• Efficiency and Productivity: Evaluate the efficiency and productivity improvements achieved through process automation and optimization.
• Stakeholder Communication: Assess the effectiveness of communication and collaboration with stakeholders in delivering successful AI solutions.
• Adaptability and Learning: Measure adaptability to changing requirements and the ability to quickly learn and apply new technologies and methodologies.
• Product Alignment and User Impact: Evaluate the alignment of data -driven products with business goals and their impact on improving user experiences and satisfaction.
• Ethical and Legal Compliance: Monitor compliance with ethical and legal standards in the development of data-driven products and solutions.

  Educational and Experience 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.     Competencies and Behaviors 
• 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.
 

Base Salary Range: $218,739.00 - $320,817.20. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

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Our Benefits: 

Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices. 

We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds. 

Equal Opportunity Employer: 

6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com. 

We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com 

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