[Remote] Research & Analytics Manager at Dataminr

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, AI & Machine Learning, Data & Analytics, BiotechnologyIndustries

Requirements

Candidates should possess a Bachelor's degree and have over 4 years of experience in a similar role at a consulting, operations, or analytics firm. Required technical skills include proficiency in MS Office suite, Google Suite, experience with metrics analysis, and using SQL for data analysis. Desirable skills include Python scripting. A passion for current events, technology, social media, and publicly available data, along with exceptional analytical and quantitative problem-solving skills, attention to detail, and strong communication abilities are also necessary.

Responsibilities

The Research & Analytics Manager will drive operational and technical R&D initiatives to improve alerts and data source coverage, and experiment with AI and machine learning models. Responsibilities include gathering, analyzing, and using data for decision-making and strategic planning, conducting deep-dives into alerting and operational processes to identify improvement opportunities, and performing R&D data exploration of open-source data ingests. The role involves supporting and building proprietary algorithmic data streams, finding technical solutions to business challenges, and collaborating with cross-functional teams including Operational, AI, and Data teams.

Skills

Data Analysis

Machine Learning

AI Models

R&D

Data Visualization

Strategic Planning

Operational Planning

Problem-Solving

Cross-functional Collaboration

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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