Senior Data Scientist

July 22

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6sense

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6sense Revenue AI™ reimagines the way revenue teams create, manage and convert pipeline into revenue.

Predictive intelligence • Predictive marketing • B2B marketing • Predictive sales • Artificial Intelligence

1001 - 5000

💰 $200M Series E on 2022-01

Description

• Sr Data Scientist leads and drives strategic AI solutions, leveraging advanced data science expertise and innovative problem-solving skills. • Design complex AI solutions aligned with business objectives, utilizing a deep understanding of cutting-edge algorithms and methodologies. • Focus on continuous learning and adaptation to emerging technologies, ensuring the highest level of technical mastery. • Emphasizes collaboration, mentorship, and thought leadership to contribute to the organization’s growth and maintain a standard of excellence in AI solution design and deployment.

Requirements

• 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.

Benefits

• Health coverage • Paid parental leave • Generous paid time-off and holidays • Quarterly self-care days off • Stock options