Senior Data Scientist (REMOTE)

at  SailPoint

SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce, ensuring workers have the right access to do their job – no more, no less.
The Data Science team at SailPoint is at the vanguard of bringing world class machine learning and artificial intelligence to the cybersecurity space. From applied DS to imagining and building engaging user experiences, we spend our days finding ways to use data technologies to enhance Identity Governance. If you have experience in building scalable AI/ML solutions we’d love to talk!
Position is remote or hybrid (headquarters in Austin, TX).
Applicants must be able to work in the US or Canada without visa sponsorship

The Senior Data Scientist will be responsible for:

• Developing approaches for continuous performance monitoring of models in production.
• Defining and implementing metrics to evaluate the success of AI/ML features.
• Engaging in the end-to-end product ML lifecycle, from ideation to training, testing, and evaluation of ML models to deployment and monitoring of models in production.
• Autonomously engaging in time-sensitive R&D for complex and ambiguous problems spanning domains such as Recommender Systems, Graph ML, GenAI & NLP.
• Developing compelling prototypes and demonstrations to communicate results to the data science team as well as product and engineering stakeholders.
• Triaging and performing root cause analysis of AI/ML issues in production.

Requirements:

• Applicants must be able to work in the US or Canada without visa sponsorship.
• B.S. or above in quantitative discipline: Computer Science Statistics, Applied Mathematics, Engineering, or related field
• Minimum of 5 + years of experience working as a Data Scientist or Machine Learning Engineer.
• Understanding of common ML algorithms and techniques for clustering, classification, regression, anomaly detection, recommender systems.
• Proven experience building ML models and deploying them to production.
• Experience with common ML tools and libraries: Python, PyTorch, TensorFlow, Pandas, R.
• Solid applied statistics knowledge: hypothesis testing, statistical inference, sampling, etc.
• Strong analytical and problem-solving skills
• A self-starter who can engage on ambiguous assignments and provide thought leadership
• Strong verbal and written communication skills, with the ability to translate complex concepts into easy-to-understand language for product and business stakeholders.

Preferred

• M.S. or PhD in quantitative discipline: Computer Science Statistics, Applied Mathematics, Engineering, or related field
• Experience with measuring success of AI/ML Products
• Familiarity with graphs, graph databases, graph algorithms, GNNs/GATs, etc.
• Experience with recommender systems.
• Experience with cloud computing workflows, preferably AWS (EMR, EC2, EKS).
• Experience with AWS SageMaker or other cloud deployment technologies for ML.
• Experience with large-scale distributed computing technologies such as Apache Spark.

Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint.
As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. The reasonably estimated base salary for this role at SailPoint ranges from (min-mid-max):
$114,590 - $163,700 - $212,810
Benefits Overview
1. Health and wellness coverage: Medical, dental, and vision insurance
2. Disability coverage: Short-term and long-term disability
3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)
4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children
5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account
6. Financial security: 401(k) Savings and Investment Plan with company matching
7. Time off benefits: Flexible vacation policy
8. Holidays: 8 paid holidays annually
9. Sick leave
10. Parental support: Paid parental leave
11. Employee Assistance Program (EAP) and Care Counselors
12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options
13. Health Savings Account (HSA) with employer contribution
SailPoint is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status

• Developing approaches for continuous performance monitoring of models in production.
• Defining and implementing metrics to evaluate the success of AI/ML features.
• Engaging in the end-to-end product ML lifecycle, from ideation to training, testing, and evaluation of ML models to deployment and monitoring of models in production.
• Autonomously engaging in time-sensitive R&D for complex and ambiguous problems spanning domains such as Recommender Systems, Graph ML, GenAI & NLP.
• Developing compelling prototypes and demonstrations to communicate results to the data science team as well as product and engineering stakeholders.
• Triaging and performing root cause analysis of AI/ML issues in production