Yesterday
🇺🇸 United States – Remote
💵 $110k - $140k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
•As a Solutions Analytics Data Scientist, you will play a crucial role in enabling current and prospective partners to implement and optimize SentiLink products. •You will conduct data evaluations that demonstrate how SentiLink’s solutions add measurable value to partners' businesses. •This includes analyzing partner data, interpreting key data science metrics, and illustrating product performance. •For existing partners, you will provide ongoing performance assessments, support product evaluations, and deliver custom analyses to help partners understand fraud patterns and their impact on consumers and business operations. •Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.).
•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.
•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, and more!
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