200+ applicants
6sense · 2 days ago
Senior Data Scientist
United States
Full-time
Remote
Senior Level
$156K/yr - $239K/yr
5+ years exp
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Responsibilities
AI Solution Design and Development: Lead the design and development of AI solutions, identifying complex business problems and developing high-level architectures with minimal guidance.
Evaluate various algorithms and data sets to determine the most effective solutions for given business problems, ensuring optimal model performance.
Handle AI solution requirement gathering, design, and development process management to meet business objectives and stakeholder needs.
Effectively communicate insights, recommendations, and AI solution progress to stakeholders, ensuring alignment with business goals.
Develop customized models tailored to specific business problems using advanced machine learning algorithms and handling complex and unstructured data sets.
Proactively identify new opportunities for data-driven insights and innovations, staying updated with emerging trends and methodologies in data science.
Develop and implement complex AI models, leverage transfer learning, ensemble methods, and integrate AI solutions into complex systems or workflows.
Create and modify workflows, automate routine tasks, identify inefficiencies, and suggest solutions to streamline processes for improved productivity.
Utilize advanced analytics techniques to extract insights, develop data-driven strategies, and align business objectives with innovative data science solutions.
Maintain expertise in cutting-edge technologies, continuously develop skills in advanced data manipulation, AI development frameworks, and data analysis tools.
Prioritize business objectives, deeply understand target users, create user personas, measure product success, and communicate insights to both technical and non-technical stakeholders.
Implement continuous integration/continuous deployment methodologies, manage code modularization, version control, and maintain well-documented, maintainable code.
Collaborate with other developers, share expertise, and align business goals with data science initiatives through effective teamwork and knowledge sharing.
Apply best practices for AI solution design, testing, validation, and adhere to ethical guidelines while ensuring the accuracy, consistency, and reliability of AI models and solutions.
Performance Measurement: Measure the effectiveness and impact of AI solutions in addressing complex business problems and achieving set objectives.
Model Performance and Innovation: Assess the performance and innovation of AI models developed, considering advancements in algorithms, techniques, and their impact on problem-solving.
Stakeholder Satisfaction: Evaluate stakeholder satisfaction and feedback regarding AI solution communication, alignment with business goals, and meeting expectations.
Process Efficiency and Automation Impact: Measure the impact of process optimizations, workflow automation, and suggestions for efficiency improvements in data-related tasks.
Product Alignment and User Impact: Evaluate how data-driven insights and solutions align with the product vision, user needs, and positively impact product development and user experience.
Continuous Learning and Skills Development: Assess the commitment to continuous learning, skill development, and staying updated with emerging trends and technologies in the data science field.
Collaboration and Knowledge Sharing: Measure collaboration effectiveness, knowledge sharing, and the ability to work within a team to integrate AI solutions into complex systems or workflows.
Quality Assurance and Compliance: Evaluate adherence to AI solution design best practices, ethical guidelines, and compliance with security and regulatory requirements.
Efficient Deployment and Code Management: Assess efficiency in deploying AI models, effective use of CI/CD methodologies, and maintaining modular, well-documented, and maintainable code.
Qualification
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Required
Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Minimum of 5-7 years of hands-on experience in data analysis, machine learning model development, AI solution design, and deployment.
Proficient in Python, SQL, Pytorch or Tensorflow.
Hands on experience with NLP and large language models (LLMs).
Proven experience in leading the design, development, and deployment of AI solutions to solve complex business problems.
Proficiency in advanced statistical methods, machine learning algorithms, and deep learning techniques, along with the ability to derive insights from unstructured data.
Expertise in developing customized models, applying advanced machine learning algorithms, handling complex data sets, and leveraging ensemble learning.
Demonstrated thought leadership, innovative problem-solving abilities, and a track record of contributing to advancements in the field of data science.
Experience collaborating with various teams, stakeholders, and taking a leadership role in driving innovation and change within the organization.
Proficiency in automating workflows, optimizing processes, and identifying inefficiencies to streamline data-related tasks.
Proven ability to align data science initiatives with product goals, understand user needs, and utilize advanced analytics for product enhancement.
Proficiency in implementing continuous integration/continuous deployment methodologies and ensuring modular, well-structured, and maintainable code.
Contributions to research publications, patents, or academic achievements in the field of data science and related domains.
Understanding of AI security, compliance requirements, and ability to design solutions that meet regulatory standards.
Active engagement with the industry, such as speaking at conferences, participating in industry forums, or contributing to open-source projects.
Leadership experience in guiding teams, mentoring junior data scientists, and providing technical direction for projects.
Preferred
Publications, research contributions, or teaching experience in the field of data science would be a plus.
Benefits
Health insurance
Life and disability insurance
401K employer matching program
Paid holidays
Self-care days
Paid time off (PTO)
Paid parental leave
Stock options
Access to LinkedIn Learning platform
Wellness education sessions
Employee Resource Groups (ERG)-hosted events
Company
6sense
6sense arms revenue team with the data and visibility that needs to create and convert pipeline into revenue.
1,001-5,000 employees
H1B Sponsorship
6sense has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (4)
2022 (30)
2021 (20)
2020 (4)
Funding
Current Stage
Late StageTotal Funding
$526MKey Investors
Silicon Valley BankD1 Capital PartnersInsight Partners
2023-06-22Debt Financing· $100M
2022-01-20Series E· $200M
2021-03-30Series D· $125M
Leadership Team
Jason Zintak
Chief Executive Officer
Premal Shah
Co-Founder and SVP of Engineering and Infrastructure
Recent News
Business Wire
2024-05-06
Company data provided by crunchbase
