Senior Data Scientist at SPYCLOUD INC

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Full Time

Start Date

Immediate

Expiry Date

16 Mar, 26

Salary

0.0

Posted On

16 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Science, Python, Mathematics, Statistics, Data Engineering, Natural Language Processing, Feature Engineering, Model Evaluation, Cybersecurity, Risk Scoring, Prototyping, Communication, Collaboration, Analytical Thinking, Problem Solving

Industry

Computer and Network Security

Description

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. To learn more and see insights on your company’s exposed data, visit SpyCloud. 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 Affirmative Action employer of choice. All aspects of employment decisions will be based on merit, performance, and business needs. We do not discriminate on the basis of any status protected under federal, state, or local law. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Women, minorities, individuals with disabilities, and protected veterans are encouraged to apply. SpyCloud complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. SpyCloud expressly 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.

Responsibilities

The Senior Data Scientist will tackle complex problems using advanced analytics and machine learning models, focusing on cybersecurity use cases. They will collaborate with cross-functional teams to translate customer challenges into effective technical solutions.