Abnormal Security · 13 hours ago
Senior Applied Data Scientist
Remote - USA
Full-time
Remote
Senior Level
$170K/yr - $200K/yr
5+ years exp
Maximize your interview chancesArtificial Intelligence (AI)Cyber Security
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Responsibilities
Deep inspection and row level data analysis of our false negatives and false positives, and produce data and feature insights to iteratively improve our detection efficacy.
Understand features that distinguish safe emails from email attacks, and utilize them effectively into our models stack and engine.
Train models and develop detectors on well-defined datasets to improve model efficacy on specialized attacks.
Identify and recommend new features groups or ML model approaches that can significantly improve detection efficacy for a product. Work with infrastructure & systems engineers to productionize signals to feed into the detection system.
Writes code with testability, readability, edge cases, and errors in mind.
Actively monitor and improve FN rates and efficacy rates for our message detection product attack categories, through feature engineering, rules and ML modeling.
Contribute in other areas of the stack: building and debugging data pipelines, or presenting results back to customers in our tools when the occasion arises.
Qualification
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Required
5+ years experience designing, building product machine learning applications in one of the domains of text understanding, entity recognition, NLP experience, computer vision, recommendation systems, or search.
Experience with data analytics and wielding SQL+ pandas framework to both build metric and evaluation pipelines, and answer critical questions about counterfactual treatments.
Ability to understand business requirements thoroughly and bias toward designing a simplest yet generalizable ML model / system that can accomplish the goal.
Ability to rapidly iterate on 0-to-1 model prototypes, interpret results, and pivot an approach, in order to evaluate most promising solutions as new problems arise.
Uses a systematic approach to debug data issues within both ML and heuristics models.
Fluent with Python and machine learning toolkits like numpy, sklearn, pytorch and tensorflow.
Effective programming skills which enable them to quickly add incremental logic to our codebase with readable, well tested and efficient code.
BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field
Preferred
MS degree in Computer Science, Electrical Engineering or other related engineering/applied Sciences field
Experience with algorithms and optimization
Benefits
Bonus
Restricted stock units (RSUs)
Benefits
Company
Abnormal Security
Abnormal Security is an email security company that protects enterprises and organizations from targeted email attacks.
501-1,000 employees
H1B Sponsorship
Abnormal Security has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (10)
2022 (11)
2021 (16)
2020 (3)
Funding
Current Stage
Late StageTotal Funding
$534MKey Investors
Wellington ManagementCrowdStrike Falcon FundInsight Partners
2024-08-06Series D· $250M
2023-03-29Series Unknown· undefined
2022-05-10Series C· $210M
Leadership Team
Evan Reiser
CEO and Co-Founder
Sanjay Jeyakumar
CTO, Co-Founder, and Head of R&D
Recent News
2024-11-22
2024-11-20
Crunchbase News
2024-10-10
Company data provided by crunchbase
