Company Description Passivae® streamlines the hiring process by specialising in sourcing, screening, and shortlisting top-tier candidates. We help build motivated founding teams and backfill urgent roles, saving businesses time and effort. By partnering with Passivae®, companies can focus on growth while we handle the tedious tasks. Experience the future of hiring with Passivae®. Role Description This is a full-time remote role for a SEO & Social Media Growth Specialist. The specialist will manage day-to-day SEO tasks such as keyword research, SEO audits, link building, and on-page SEO. They will also utilize web analytics tools to monitor and improve SEO performance. Additionally, the specialist will engage in strategies to enhance social media growth and presence. Qualifications Experience with Keyword Research and SEO Audits Proficiency in Link Building and On-Page SEO techniques Strong skills in Web Analytics Excellent written and verbal communication skills Ability to work independently and remotely Experience with social media marketing is a plus Bachelor's degree in Marketing, Communications, or a related field
About Passivae Passivae is an intelligent recruitment platform that streamlines the hiring process through cutting-edge technology. We are looking for a Junior Data Scientist to join our team and help us leverage data to optimize our platform and provide deeper insights to our users. You'll be instrumental in developing and refining data-driven strategies that improve our services. Key Responsibilities: Collect, clean, and analyze large datasets related to candidate and job-matching. Develop and implement statistical models and machine learning algorithms to identify trends, predict outcomes, and provide actionable insights. Collaborate with engineering teams to integrate data science models into our platform. Create reports and dashboards to visualize data and communicate findings to stakeholders. Stay up-to-date with the latest data science techniques and technologies. Qualifications: 1-3 years of experience in a data science or data analysis role. Proficiency in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-learn). Experience with SQL for data extraction and manipulation. Solid understanding of statistical analysis and machine learning concepts. Strong problem-solving skills and a passion for turning data into business value.