drjobs Principal Data Scientist

Principal Data Scientist

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1 Vacancy
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Job Location drjobs

San Francisco, CA - USA

Monthly Salary drjobs

$ 218739 - 320817

Vacancy

1 Vacancy

Job Description

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 highquality 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 dening the future of our industryleading technology. 6sense is a place where differencemakers 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 datadriven insights that align with the organizations strategic goals. Additionally the Principal Data Scientist ensures efficient workflows automates processes and effectively communicates insights to stakeholders aiming to enhance productivity strategic decisionmaking 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 crossfunctional 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 models functioning.
Develop models that inform strategic decisionmaking at the highest organizational levels leveraging advanced machine learning techniques.
Align business objectives with innovative data science solutions proactively identifying opportunities for datadriven 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 decisionmaking and roadmap planning. Ethical Product Development: Understand and consider the ethical and legal implications of datadriven products and solutions ensuring responsible and compliant development practices.

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

Educational and Experience Requirements
Ph.D. or Masters 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 programminglanguages (Python R SQL).
Innovative ProblemSolving: Proactive in identifying innovative data driven insightsleveraging cuttingedge technologies and challenging existing approaches.
Expertise in designing and deploying complex AI solutions optimizing algorithmsand integrating models effectively.
Proficient in automating workflows improving processes and enhancing efficiency indata collection cleaning analysis and reporting.
Strong communication skills to convey complex insights to stakeholders and effectiveleadership in managing data science teams.
Willingness to stay updated with emerging trends methodologies and technologiesand adapt to changing requirements in the field.
Understanding and adherence to ethical and legal implications related to data drivenproducts and solutions.
Effective collaboration with crossfunctional teams and stakeholders ensuringsuccessful project delivery through teamwork.
Demonstrated contributions through research publications and thought leadership inthe data science domain.
Ability to align data science goals with broader business objectives leveraginginsights for strategic decisionmaking.
Understanding and integrating user needs and experiences into productdevelopment using data to drive usercentric decisions.
Ability to adapt to changing requirements and circumstances ensuring the successfuldelivery of AI solutions in dynamic environments.
Efficiently manage time and prioritize tasks to meet project deadlines andorganizational goals.
Commitment to maintaining highquality standards adhering to compliancerequirements and ensuring data accuracy and validity.

Base Salary Range: $218739.00 $320817.20. 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 6senses total compensation package for this position. Other compensation may include a bonus program or commission plan and stock options if approved by 6senses 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 selfcare days and paid time off (PTO). #Liremote

Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy

Our Benefits:

Fulltime employees can take advantage of health coverage paid parental leave generous paid timeoff and holidays quarterly selfcare days off and stock options. Well make sure you have the equipment and support you need to work and connect with your teams at home or in one of our oces.

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 wellbeing is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERGhosted 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 preemployment testing or otherwise participating in the employee selection process please direct your inquiries to .

We are aware of recruiting impersonationattempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense 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


Required Experience:

Staff IC

Employment Type

Full Time

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