76 applicants

Company

Original Job Post

HUMAN · 2 days ago

Senior Data Scientist- Operational Efficiency

New York, NY

Full-time

Hybrid

Senior Level

$135K/yr - $170K/yr

5+ years exp

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Responsibilities

Build upon existing automation and DS platforms to automate reactive and proactive actions to detect and disrupt novel bot attacks.

Devise techniques that leverage the signals we collect to produce robust automated fraud detection techniques, using meticulous experimentation to find techniques that are difficult for bad actors to adapt around.

Support experiments that demonstrate the value of our emerging automation solutions by highlighting anomalies consistent with fraud.

Be an active participant in team responsibilities, including reviewing other data scientists’ work prior to launching new detection rules/algorithms, our ‘sheriffing’ process where we proactively monitor anomalies arising in our systems and taking part in ‘tech-debt days’ to keep our codebase clean and healthy.

Contribute to our growing DS toolsets, that ‘creating tau’ (disproportionate leverage) by accelerating our team’s ability to find fraud, automating cumbersome tasks, and creating novel methodologies. by empowering the other humans around you.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonSQLPydanticJupyterPandasNumPyObject Oriented DevelopmentSDLC Best PracticesProject ManagementVersion ControlUnit TestingCI/CDProblem-SolvingHard Working Sense of OwnershipAccountability Debugging SkillsDrive to ImproveCross-Functional Collaboration

Required

Experience solving large-scale, data-intensive problems in production systems

Proficiency with Python and SQL

Familiarity with related tools, libraries, and platforms (e.g. Pydantic, Jupyter, Pandas, NumPy)

Fluency in Object Oriented development and strong debugging skills

Good sense of ownership and drive to find ways to do things better, faster, and leaner

Accountability for the quality and accuracy of work

Experience working on cross-functional projects with multiple stakeholders

Experience following SDLC best practices: project management, version control, unit testing, and CI/CD

Senior level experience: 5-7 years

Benefits

Stock options

Incentive pay

Medical benefits

Financial benefits

Company

HUMAN

Glassdoor

3.6

HUMAN is a cybersecurity company that protects the internet and enterprises from fraud and sophisticated bot attacks.

Founded in 2012

New York, New York, USA

201-500 employees

http://www.humansecurity.com

H1B Sponsorship

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Trends of Total Sponsorships

2022 (3)

2021 (3)