Top Remote Entry Level Analytics Jobs
The consultant will analyze pricing trends and market dynamics, develop strategies to optimize profitability and competitiveness of pharmaceutical products on a global scale, working closely with the company team.
As a Workforce Management Analyst II at Wisetack, you will manage scheduling and efficiency for Customer Support and Loan Servicing teams. Responsibilities include monitoring agent performance, capacity planning, developing schedules, and analyzing key metrics to drive operational improvements.
Join Hims & Hers Analytics and Data Science team to engage in data-driven decision making, improve user experience, and contribute to product development. Collaborate with business leaders, marketers, and product teams to drive analytical insights, and leverage machine learning for innovative solutions across the organization.
As a Research Analyst, you will analyze search result performance and provide insights to improve quality and relevance. You will evaluate search engine effectiveness, offer recommendations for algorithm enhancements, and ensure search results are optimized for users. The role requires strong analytical skills and attention to detail.
As a Research Scientist at Waabi, you will lead AI research projects to develop algorithms for autonomous systems, work on self-driving related challenges, and deploy solutions into production while ensuring integration with platform teams. You will also publish findings at top conferences and contribute to advancing AI technologies.
Microblink is seeking talented individuals to join their team, focusing on innovation and bridging gaps between various entities using technology. They welcome a diverse range of experiences and encourage candidates to submit CVs and project links.
CQL seeks talented individuals to enhance its mission of simplifying technology and enriching commerce experiences. Roles available encompass skills in eCommerce platforms and management, including Salesforce Commerce Cloud, Shopify, BigCommerce, and UX design, among others.
The Data Scientist will utilize machine learning techniques and statistical concepts to derive business value from data. Responsibilities include data preprocessing, feature engineering, communicating with clients, participating in business development activities, and mentoring team members to enhance expertise and drive measurable business impact.
As an AI Strategist, you will help clients navigate AI/ML integration challenges, conduct quantitative analysis, assess organizational capabilities, and provide actionable recommendations to advance their AI strategies, while working collaboratively with engineering teams.
The Quantitative Associate will develop models supporting decision making in revenue functions, focusing on sales of renewable power, management of solar generation assets, and optimization of battery storage. Responsibilities include designing risk management tools, conducting market analysis, and creating innovative products to maximize profitability and minimize risks.
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