Senior Data Scientist

Job not on LinkedIn

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $135k - $185k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Kyros

WebsiteLinkedInAll Job Openings

11 - 50 employees

💸 Finance

🏢 Enterprise

Finance • Enterprise

Kyros is the parent holding company of the Kyros Group that defines the Group’s overarching strategy, governance framework, and enterprise-wide coordination across Angola and other emerging markets. It acts as a central platform for strategic direction and oversight, emphasizing financial discipline, robust risk management, value creation, and long-term institutional positioning.

📋 Description

• Help deliver a growing portfolio of client projects • Translate clients’ business problems into full end-to-end data science workflows • Work directly with clients to define data requirements • Build data pipelines to ingest and transform raw loyalty program data into clean, structured datasets for analysis and modeling • Design, build, and evaluate predictive models • Make decisions around feature engineering, methodology, and trade-offs • Synthesize analytical results into clear stories for non-technical clients • Support client business decisions with data-driven insights • Perform ad hoc analyses and address novel problems • Build new solutions and design new analytical approaches • Contribute to the evolution of the analytics platform • Own the end-to-end data science workflow from data through insights

🎯 Requirements

• At least 5 years of professional experience in a data science, data engineering, or analytically focused role • Bachelor’s or master’s degree in math, economics, bioinformatics, statistics, engineering, computer science, actuarial science or other quantitative field • Demonstrated hands-on experience using Python and/or PySpark to clean, transform, and manipulate large, complex, and messy datasets • Strong Python and/or PySpark expertise • Strong SQL expertise • Ability to build and maintain production-quality analytical workflows • Advanced Excel skills • Ability to connect technical work to business goals • Familiarity with predictive modeling techniques used in an actuarial, data science, or predictive analytics focused role • Ability to clearly explain modeling approaches, assumptions, and results to non-technical audiences • Strong communicator • Growth mindset • Ability to clearly explain modeling techniques, methodologies, assumptions, and results to both technical and non-technical audiences • Actuarial background, direct experience building and analyzing P&C actuarial models end-to-end, or ACAS/FCAS qualifications are a plus • Demonstrated experience working with big data frameworks (e.g., Hadoop, Spark) • Experience with dashboarding/data visualization (e.g., Plotly Dash, Power BI)

🏖️ Benefits

• Retirement Plan (401k with employer match) • Qualified Small Employer Health Reimbursement Arrangement (QSEHRA) • Discretionary PTO • Fully remote

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