Top Hybrid Analytics Jobs

As a Senior Data Scientist at Moloco, you'll analyze data, validate campaign performance, and collaborate with stakeholders to develop insights that drive client growth. Responsibilities include creating visual data displays, optimizing campaigns, and ensuring the accuracy of engagement data. You will also play a key role in refining machine learning models and presenting findings to various audiences.

Research Scientist will lead NLP and ML projects, mentor junior researchers, and contribute to significant publications to enhance AI in customer service.

The Data Analyst III will drive business growth by analyzing commercial performance, financial forecasting, and KPI reporting, collaborating closely with stakeholders and other analysts.

The Data Specialist will analyze baggage and operational statistics, develop performance models, and collaborate with engineering teams to enhance robotic system efficiency.

Lead and optimize BDG’s data infrastructure, mentoring a high-performing team while driving innovation and fostering a data-driven culture.

As a Data & Reporting Analyst, you will develop data insights and reporting solutions for an electric utility client, utilizing Excel and Power BI. You will analyze complex data sets, create dashboards, and collaborate with stakeholders to drive data-informed decisions. Additionally, you will train junior consultants and manage small projects.

The Consultant will manage customer engagements, build statistical models, deliver insights, and ensure project quality while leading and training team members.

Join the Buyer Science team as a Data Scientist to optimize media performance through advanced analytics, machine learning, and statistical modeling. Collaborate with strategists and engineers to enhance the client's media campaigns, conduct analyses, develop strategies, and ensure optimal media spending with measurable outcomes.

As a Quantitative Trading Strategist, improve systematic trading strategies using quantitative skills, improve algorithmic execution, and conduct market research.

Lead the development and implementation of machine learning solutions, fostering a high-performance team while driving significant business impact across the organization.