Built In Austin
SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloud’s solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt cybercrime makes SpyCloud a special place to work. If you’re driven to align your career with a fantastic mission, look no further!
We are seeking a Senior Data Scientist to help drive our analytic, machine learning, and other AI capabilities and resulting product offerings for cybersecurity use cases. You will be instrumental in shaping and executing data science priorities and in taking customer challenges and producing effective, efficient, technical solutions that support strategic goals and improve the customer experience. This role is ideal for a creative and highly motivated data scientist who thrives in a collaborative environment and is passionate about leveraging math and analytics to deliver insight, understanding, and impact to customers.
What You’ll Do:
Advanced Analytics & Modeling
Tackle complex problems by selecting and applying the right mathematical approaches and machine learning models across structured and unstructured data
Design, train, test, and tune machine learning models for threat intelligence, incident detection, alerting, risk scoring, and more
Build successful prototypes to validate model performance and feasibility
Design and implement preprocessing pipelines and feature engineering workflows
Define quantitative metrics to track model accuracy, performance, and business impact
Create and maintain clear internal, external, and compliance documentation on models
ML applications will be diverse and span foundational learning paradigms
Cross-Functional Problem Solving
Translate customer and internal into analytically driven questions
Rapidly spin up MVPs to test solutions
Propose and prototype new data sources and features, and
Work with engineers to support deployment of production-grade models
Ensure data science work – in purpose and function - align with product and strategic goals
Collaborate with engineering, product, research, and customer-facing teams to:
Communicate and Advocate
Communicate analytic and modeling design choices and rationale to technical and non-technical stakeholders
Maintain cross-functional feedback loops – both internal and with select customers – to evaluate the technical and contextual success of data science products
Requirements:
Deep expertise in applied math (linear algebra, calculus, statistics, optimization, graph theory) and understanding of when to apply various modeling approaches
Minimum 5 years in data science or analytics with proven success in the design, training, and evaluation of ML models
Strong coding capabilities, specifically solid experience in Python using packages like using PyTorch/TensorFlow, scikit-learn, XGBoost, and others
Excellent communication skills; adept at translating complex analyses into digestible recommendations for diverse teams
Comfortable owning and driving projects in a fast-paced, high-stakes environment
Nice to Have:
Experience with Natural Language Processing (NLP) algorithms, specifically text classification, NLP-based threat tagging, or similar tasks
Experience with data engineering or ELT/data pipeline creation
Domain experience in cybersecurity, threat intelligence, account takeover, ransomware analysis, or similar fields
Familiarity with graph analytics, knowledge graphs, or cybersecurity ontologies (e.g., MITRE ATTACK)
SpyCloud is not sponsoring visas at this time. U.S.-Based Benefits + Perks (for Full Time Employees): At SpyCloud, we are committed to working alongside individuals who are equally passionate about preventing cybercrime, regardless of their department or role. Guided by our core values in all business decisions, we prioritize unity in our mission and ensure all SpyCloud employees have the support and benefits they need to stay focused on our goals. In addition to our engaging workspace in South Austin, flexible and remote-friendly work options, and competitive salary package, we offer our employees a comprehensive benefits package that includes:
401(k) with Employer Contribution
Health, Vision, and Dental Insurance
Health Savings Account (HSA) available with Employer Contribution
Employer Paid Life, Short-term, and Long-term Disability Insurance
Generous PTO Plan and 16 paid holidays per year
U.K.-Based Benefits + Perks (for Full Time Employees):
Retirement Savings Plan with Employer Contribution
Employer Provided Private Health Insurance and Healthcare Cashplan
Employer Paid Life Insurance and Income Replacement
Generous Holiday Plan and 14 paid holidays per year
About SpyCloud: SpyCloud is on a mission to disrupt the cycle of cybercrime. As the leader in Cybercrime Analytics, our solutions thwart cyberattacks that originate from the use of stolen data, including account takeover, ransomware, and online fraud. More than 550 customers and partners trust SpyCloud to protect users' identities, prevent targeted attacks, and unmask adversaries attempting to harm businesses and their customers.
Our Mission: Our mission is to make the internet a safer place by disrupting the criminal underground. Together with our customers and partners, we aim to end criminals’ ability to profit from stolen information.
Who We Are: SpyCloud is a place for innovative, collaborative, and problem-solvers to thrive. Individually, we’re amazing, but together, we’re unstoppable. We celebrate diversity and various perspectives and aim to create an inclusive and supportive environment for all. We are proud to be an Equal Employment Opportunity and Aff... (continued EEO statement)
SpyCloud expresses prohibits any form of workplace harassment. Improper interference with the ability of SpyCloud's employees to perform their job duties may result in discipline up to and including discharge. SpyCloud shares the right to work and participates in the E-Verify program in all locations.
If you need assistance or accommodation due to a disability, you may contact us.
Our Culture: Our culture is something really special. We’re all driven to disrupt the cybercriminal economy as we keep customer accounts safe from compromise. We support a truly worthy and serious mission, but we have fun doing it together. If you are driven, inventive, and collaborative, you’ll fit right in.
SpyCloud’s Recruitment Policy: We will never ask an applicant for sensitive or personal financial information during the recruitment process. We advise all applicants seeking employment with SpyCloud to review available information on recruitment fraud. Anyone who suspects that they have been contacted by someone falsely representing SpyCloud should email careers@spycloud.com.
Compensation Transparency Policy: At SpyCloud, we believe in transparency and fairness in compensation. We strive to ensure that all employees are fairly compensated for their contributions, and we openly discuss our compensation philosophy and structure. We are committed to providing competitive salaries and benefits packages to attract and retain top talent, and we encourage open dialogue and feedback regarding compensation matters.
Learn more and apply: SpyCloud Careers
For applicants residing in California, please click here to read SpyCloud's CCPA Notice.
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We are seeking a Senior Data Scientist to help drive our analytic, machine learning, and other AI capabilities and resulting product offerings for cybersecurity use cases. You will be instrumental in shaping and executing data science priorities and in taking customer challenges and producing effective, efficient, technical solutions that support strategic goals and improve the customer experience. This role is ideal for a creative and highly motivated data scientist who thrives in a collaborative environment and is passionate about leveraging math and analytics to deliver insight, understanding, and impact to customers.
What You’ll Do:
Advanced Analytics & Modeling
Tackle complex problems by selecting and applying the right mathematical approaches and machine learning models across structured and unstructured data
Design, train, test, and tune machine learning models for threat intelligence, incident detection, alerting, risk scoring, and more
Build successful prototypes to validate model performance and feasibility
Design and implement preprocessing pipelines and feature engineering workflows
Define quantitative metrics to track model accuracy, performance, and business impact
Create and maintain clear internal, external, and compliance documentation on models
ML applications will be diverse and span foundational learning paradigms
Cross-Functional Problem Solving
Translate customer and internal into analytically driven questions
Rapidly spin up MVPs to test solutions
Propose and prototype new data sources and features, and
Work with engineers to support deployment of production-grade models
Ensure data science work – in purpose and function - align with product and strategic goals
Collaborate with engineering, product, research, and customer-facing teams to:
Communicate and Advocate
Communicate analytic and modeling design choices and rationale to technical and non-technical stakeholders
Maintain cross-functional feedback loops – both internal and with select customers – to evaluate the technical and contextual success of data science products
Requirements:
Deep expertise in applied math (linear algebra, calculus, statistics, optimization, graph theory) and understanding of when to apply various modeling approaches
Minimum 5 years in data science or analytics with proven success in the design, training, and evaluation of ML models
Strong coding capabilities, specifically solid experience in Python using packages like using PyTorch/TensorFlow, scikit-learn, XGBoost, and others
Excellent communication skills; adept at translating complex analyses into digestible recommendations for diverse teams
Comfortable owning and driving projects in a fast-paced, high-stakes environment
Nice to Have:
Experience with Natural Language Processing (NLP) algorithms, specifically text classification, NLP-based threat tagging, or similar tasks
Experience with data engineering or ELT/data pipeline creation
Domain experience in cybersecurity, threat intelligence, account takeover, ransomware analysis, or similar fields
Familiarity with graph analytics, knowledge graphs, or cybersecurity ontologies (e.g., MITRE ATTACK)
SpyCloud is not sponsoring visas at this time. U.S.-Based Benefits + Perks (for Full Time Employees): At SpyCloud, we are committed to working alongside individuals who are equally passionate about preventing cybercrime, regardless of their department or role. Guided by our core values in all business decisions, we prioritize unity in our mission and ensure all SpyCloud employees have the support and benefits they need to stay focused on our goals. In addition to our engaging workspace in South Austin, flexible and remote-friendly work options, and competitive salary package, we offer our employees a comprehensive benefits package that includes:
401(k) with Employer Contribution
Health, Vision, and Dental Insurance
Health Savings Account (HSA) available with Employer Contribution
Employer Paid Life, Short-term, and Long-term Disability Insurance
Generous PTO Plan and 16 paid holidays per year
U.K.-Based Benefits + Perks (for Full Time Employees):
Retirement Savings Plan with Employer Contribution
Employer Provided Private Health Insurance and Healthcare Cashplan
Employer Paid Life Insurance and Income Replacement
Generous Holiday Plan and 14 paid holidays per year
About SpyCloud: SpyCloud is on a mission to disrupt the cycle of cybercrime. As the leader in Cybercrime Analytics, our solutions thwart cyberattacks that originate from the use of stolen data, including account takeover, ransomware, and online fraud. More than 550 customers and partners trust SpyCloud to protect users' identities, prevent targeted attacks, and unmask adversaries attempting to harm businesses and their customers.
Our Mission: Our mission is to make the internet a safer place by disrupting the criminal underground. Together with our customers and partners, we aim to end criminals’ ability to profit from stolen information.
Who We Are: SpyCloud is a place for innovative, collaborative, and problem-solvers to thrive. Individually, we’re amazing, but together, we’re unstoppable. We celebrate diversity and various perspectives and aim to create an inclusive and supportive environment for all. We are proud to be an Equal Employment Opportunity and Aff... (continued EEO statement)
SpyCloud expresses prohibits any form of workplace harassment. Improper interference with the ability of SpyCloud's employees to perform their job duties may result in discipline up to and including discharge. SpyCloud shares the right to work and participates in the E-Verify program in all locations.
If you need assistance or accommodation due to a disability, you may contact us.
Our Culture: Our culture is something really special. We’re all driven to disrupt the cybercriminal economy as we keep customer accounts safe from compromise. We support a truly worthy and serious mission, but we have fun doing it together. If you are driven, inventive, and collaborative, you’ll fit right in.
SpyCloud’s Recruitment Policy: We will never ask an applicant for sensitive or personal financial information during the recruitment process. We advise all applicants seeking employment with SpyCloud to review available information on recruitment fraud. Anyone who suspects that they have been contacted by someone falsely representing SpyCloud should email careers@spycloud.com.
Compensation Transparency Policy: At SpyCloud, we believe in transparency and fairness in compensation. We strive to ensure that all employees are fairly compensated for their contributions, and we openly discuss our compensation philosophy and structure. We are committed to providing competitive salaries and benefits packages to attract and retain top talent, and we encourage open dialogue and feedback regarding compensation matters.
Learn more and apply: SpyCloud Careers
For applicants residing in California, please click here to read SpyCloud's CCPA Notice.
#J-18808-Ljbffr