Solutions Analytics Data Scientist

Summary

Join SentiLink as a Solutions Analytics Data Scientist and play a crucial role in enabling partners to effectively utilize and optimize our identity and risk solutions. You will conduct data evaluations showcasing SentiLink's value, analyze partner performance data, collaborate with cross-functional teams, and deliver insightful reports on fraud trends and consumer behavior. This remote, US-based role requires a Bachelor's or Master's degree in a related field, proven data analysis experience, strong proficiency in data tools and languages, and excellent communication skills. The ideal candidate thrives in a fast-paced environment and is eager to learn about fraud detection. SentiLink offers a competitive salary, equity, and comprehensive benefits.

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
• Candidates must be legally authorized to work in the United States and must live in the United States

Responsibilities

• 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

Preferred Qualifications

Familiarity with fraud detection, risk assessment, or related data-driven business solutions

Benefits

• Employer paid group health insurance for you and your dependents
• 401(k) plan with employer match (or equivalent for non US-based roles)
• Flexible paid time off
• Regular company-wide in-person events
• Home office stipend