Conduct comprehensive data evaluations for prospective partners, demonstrating SentiLink's product value through clear data science metrics.
Analyze performance data from current partners to ensure optimal product use and provide actionable recommendations.
Collaborate with cross-functional teams, including Product, Data Science, and Engineering, to enhance product performance and address partner-specific needs.
Deliver ad hoc analyses and reports that provide deep insights into fraud trends, consumer behavior, and partner-specific challenges.
Communicate complex data findings effectively through visualizations, reports, and presentations tailored to both technical and non-technical stakeholders

Requirements

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
Proven experience in data analysis, modeling, and performance evaluation.
Strong proficiency in data tools and languages such as Python, R, SQL, and data visualization libraries (e.g., Tableau, matplotlib).
Ability to interpret and communicate complex data insights to both technical and business audiences.
Exceptional problem-solving and analytical skills with a focus on actionable results.
Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is.
Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems.
Nice to have: Familiarity with fraud detection, risk assessment, or related data-driven business solutions.
Candidates must be legally authorized to work in the United States and must live in the United States.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisdata modelingperformance evaluationPythonRSQLdata visualizationTableaumatplotlib

Soft Skills

problem-solvinganalytical skillscommunicationcollaboration

Certifications

Bachelor’s degreeMaster’s degree