[Hiring] Data Scientist REMOTE USA
Position: Data Scientist
Date Posted: May 24, 2026
Industry: Data Science / Market Research / Analytics / FinTech
Employment Type: Full Time
Experience: Not Specified
Qualification: Not Specified
Location: United States (Remote)
Company: YipitData
Description:
YipitData is a leading market research and analytics firm specializing in the disruptive economy. The company transforms massive alternative data sets into actionable insights used by top investment funds and Fortune 500 organizations to support high-impact financial and strategic decisions.
The company is currently hiring a Data Scientist to work on advanced analytical projects involving causal inference, predictive modeling, and large-scale alternative data processing. This role is highly technical and combines traditional data science with AI-native workflows, including the use of LLM-based tools to accelerate research, coding, and analysis.
The ideal candidate will work end-to-end on complex data science problems, translating ambiguous business questions into structured analytical solutions while producing high-quality insights, models, and written research outputs for institutional clients.
Key Responsibilities:
• Translate complex business questions into structured data science problems.
• Build and analyze predictive and causal models using large-scale datasets.
• Work with alternative data sources including transaction, invoice, and web-scraped data.
• Develop feature engineering pipelines using tools like Spark.
• Produce technical white papers and analytical reports for clients.
• Use LLM tools to enhance coding, analysis, and workflow efficiency.
• Build internal AI-driven tools and evaluation systems.
• Collaborate with engineering, product, and business teams on data solutions.
• Establish and maintain high technical standards for data science workflows.
Requirements:
• Proven experience delivering end-to-end data science projects with measurable impact.
• Strong understanding of causal inference and statistical modeling techniques.
• Advanced Python programming skills with clean, production-quality code.
• Experience working with large datasets and distributed computing tools.
• Strong writing and communication skills for technical documentation.
• Familiarity with LLM tools and AI-assisted development workflows.
• Strong knowledge of:
• Causal Inference and Statistical Modeling
• Predictive Analytics and Machine Learning
• Python, Spark, and Data Engineering Tools
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