Principal Data Scientist

🕒 April 24

🇺🇸 United States – Remote

💵 $180k - $205k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

info
Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Bitsight

Bitsight

501 - 1000 employees

Founded 2013

Bitsight is a global cyber risk management leader transforming how organizations manage exposure, performance, and risk for themselves and their third parties. Companies rely on Bitsight to prioritize their cybersecurity investments, build greater trust within their ecosystem, and reduce their chances of financial loss. Built on over a decade of market-leading innovation, Bitsight’s integrated solutions deliver value across enterprise security performance, digital supply chains, cyber insurance and data analysis.

📋 Description

• Own the ideation and execution of high-impact ML/AI initiatives that directly advance Bitsight's product strategy and technical roadmap • Design, build, and deploy production-grade ML models and automation systems that support critical business features • Develop and maintain end-to-end ML pipelines, including data extraction, feature engineering, training, evaluation, deployment, monitoring, and automated feedback and retraining loops • Serve as the principal architect for scalable, high-performance ML/AI components within our cloud-based distributed systems • Analyze large-scale cybersecurity datasets to identify opportunities for improved classification, detection, and automation • Drive the integration of ML/AI outcomes, translating complex findings into clear, actionable product decisions for engineering and business stakeholders • Establish and promote best practices for ML/AI development, model operations, and data-quality standards • Mentor technical contributors across teams, elevating technical quality and accelerating development • Provide leadership in communicating complex findings and decisions to technical and non-technical stakeholders, upholding Bitsight’s documentation-driven culture

🎯 Requirements

• M.S. or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Engineering) or equivalent practical experience • Extensive experience (8+ Years for Principal level) delivering ML/AI-powered product features from concept to production • Expertise in Python, SQL, distributed compute environments, and cloud platforms • Demonstrated ability to lead complex ML/AI initiatives driving business impact • Excellent communication skills, with a track record of influencing cross-functional stakeholders and leadership • Proven capability to bring structure to ambiguous problem spaces and drive them toward actionable, high-impact outcomes

🏖️ Benefits

• medical, dental, and vision insurance • paid parental leave • flexible time off • 401(k) plan with employee and company contribution opportunities • life and disability insurance • tuition reimbursement

Apply Now

Similar Jobs

🕒 April 23

Blend360

501 - 1000

🤖 Artificial Intelligence

🏢 Enterprise

Director of AI Engineering leading AI model development and team management at Blend. Overseeing technical strategy and cross-functional collaboration for impactful AI solutions.

🕒 April 22

Blend360

501 - 1000

🤖 Artificial Intelligence

🏢 Enterprise

Director of AI Engineering at a leading AI services company. Overseeing AI model development, team management, and client engagements.

🕒 April 22

ParentSquare

201 - 500

📚 Education

☁️ SaaS

🤝 B2B

GTM Systems & Data Manager at ParentSquare, transforming operational workflows into proactive, insight-driven operations. In charge of data architecture and AI-driven insights in a remote environment.

🕒 April 20

Mission Lane

501 - 1000

💳 Fintech

🏦 Banking

👥 B2C

Principal Data Scientist at Mission Lane innovating machine learning models to enable financial progress. Collaborating with leaders to deliver data-driven solutions.

🕒 April 14

Phantom

51 - 200

₿ Crypto

🔐 Security

🌐 Web 3

Data Scientist helping product teams make data-driven decisions at Phantom. Focused on product analytics, collaborating with cross-functional teams in the crypto finance space.