Associate, Domain Expert - Eastern Europe

United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Biotechnology, Geopolitical AnalysisIndustries

Requirements

Candidates must possess a Bachelor's degree, ideally in Political Science, Russian Language Studies, Eastern Europe Studies, or a related field. Proficiency in Russian and English for data monitoring and analysis is required, with Ukrainian, Belarusian, or other Slavic languages being a plus. A strong understanding of geopolitical risk, world events, social media, and publicly-available data is essential. Experience in a real-time information environment is preferred.

Responsibilities

The Associate, Domain Expert will serve as an expert on Eastern Europe, Central Asia, and Russian geopolitical developments, analyzing data feeds to improve AI models. Responsibilities include annotating and labeling complex real-time events, developing projects to enhance AI model performance, making real-time decisions with incomplete data, and collaborating with stakeholders across offices for region-specific training.

Skills

Eastern Europe geopolitical developments

Central Asia geopolitical developments

Russian geopolitical developments

Data analysis

Signal annotation

Signal labeling

Signal editing

Algorithm training

Machine learning

AI models

Generative AI

Multimodal AI

Real-time data processing

Dataminr

Real-time AI for risk detection and alerts

About Dataminr

Dataminr leverages artificial intelligence to detect early signs of significant events and emerging risks from publicly available data in real-time. Its platform provides insights to businesses, public sector organizations, and newsrooms, helping them respond proactively to potential threats and uncover stories before they become mainstream. The technology utilizes deep learning and multi-modal AI fusion to enhance event detection accuracy by analyzing various data types together. Dataminr operates on a business-to-business model and aims to empower organizations to effectively manage risks and respond to high-impact events.

New York City, New YorkHeadquarters

2009Year Founded

$1,023.3MTotal Funding

SERIES_FCompany Stage

Data & Analytics, AI & Machine LearningIndustries

501-1,000Employees

Risks

Complex maritime environments may challenge Dataminr's integration with Windward's platform.

New CEO Brian Gumbel may introduce strategic shifts disrupting current operations.

ReGenAI's launch may face scrutiny over data privacy and ethical concerns.

Differentiation

Dataminr uses deep learning and multi-modal AI fusion for accurate event detection.

The platform provides real-time alerts from diverse sources, including social media and the dark web.

Dataminr's ReGenAI regenerates textual descriptions in real-time, enhancing AI innovation.

Upsides

Partnership with Windward enhances maritime industry response to complex global events.

Growing cybersecurity importance boosts Dataminr's relevance through Stratascale partnership.

Murali Nemani's appointment as CMO is expected to accelerate market expansion.

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