KnowBe4
Data Scientist - Python (US Remote, Prefer Close to Tampa Bay or DC area)
KnowBe4, Myrtle Point, Oregon, United States, 97458
Overview
Employer Industry: Cybersecurity Why consider this job opportunity: Salary up to $125,000 Opportunity for company-wide bonuses based on monthly sales targets Support for professional development through tuition reimbursement and certification completion bonuses Work in a modern, high-tech, and fun work environment Flexible remote work options available for candidates within the U.S. Collaborative workplace culture that values transparency and ownership Responsibilities
Collaborate with business stakeholders to understand goals and develop data-driven strategies Design and implement machine learning algorithms to solve complex problems Communicate complex concepts and statistical models to non-technical audiences through data visualizations Conduct research and design data modeling processes to enhance business productivity Analyze data to provide insights that improve efficiency and decision-making Qualifications
Bachelor’s degree or equivalent with 3 years of experience; MS/Ph.D. or equivalent with no experience required Strong SQL query writing skills with 2-3 years of complex query proficiency Proficient in Python programming Solid foundation in statistical analysis and predictive modeling Demonstrated proficiency in generative AI and LLM implementation Preferred Qualifications
Experience with Snowflake, dbt, and Looker Solid understanding of cloud deployment and scalability (AWS, Snowflake) Excellent ability to quantify and communicate business impact through data insights Strong adaptability to evolving AI technologies and market demands Excellent collaborative approach to cross-functional project delivery Additional Information
#Cybersecurity #DataScience #MachineLearning #RemoteWork #CareerGrowth #ProfessionalDevelopment We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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Employer Industry: Cybersecurity Why consider this job opportunity: Salary up to $125,000 Opportunity for company-wide bonuses based on monthly sales targets Support for professional development through tuition reimbursement and certification completion bonuses Work in a modern, high-tech, and fun work environment Flexible remote work options available for candidates within the U.S. Collaborative workplace culture that values transparency and ownership Responsibilities
Collaborate with business stakeholders to understand goals and develop data-driven strategies Design and implement machine learning algorithms to solve complex problems Communicate complex concepts and statistical models to non-technical audiences through data visualizations Conduct research and design data modeling processes to enhance business productivity Analyze data to provide insights that improve efficiency and decision-making Qualifications
Bachelor’s degree or equivalent with 3 years of experience; MS/Ph.D. or equivalent with no experience required Strong SQL query writing skills with 2-3 years of complex query proficiency Proficient in Python programming Solid foundation in statistical analysis and predictive modeling Demonstrated proficiency in generative AI and LLM implementation Preferred Qualifications
Experience with Snowflake, dbt, and Looker Solid understanding of cloud deployment and scalability (AWS, Snowflake) Excellent ability to quantify and communicate business impact through data insights Strong adaptability to evolving AI technologies and market demands Excellent collaborative approach to cross-functional project delivery Additional Information
#Cybersecurity #DataScience #MachineLearning #RemoteWork #CareerGrowth #ProfessionalDevelopment We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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