Staff Data Scientist - Search Retrieval Expert for Indeed's Work From Home Opportunity

Unlock Your Potential as a Staff Data Scientist at Indeed Join the world's #1 job site and be part of a dynamic team that's revolutionizing the way people find employment. At Indeed, we're passionate about creating an inclusive and accessible workplace where everyone feels comfortable being themselves. As a Staff Data Scientist specializing in Search Retrieval, you'll be at the forefront of improving and optimizing our search algorithms, driving innovation, and enhancing the user experience. About Indeed and the Role Indeed is a global job search and employment-related services platform that's been connecting job seekers with employers since 2004. As a Staff Data Scientist, you'll play a key role in shaping the future of job search technology. You'll lead a team, own fundamental workstreams, and drive technical direction to achieve product and technical goals. Your expertise in data science, machine learning, and search retrieval methodologies will be instrumental in developing and implementing robust solutions that make a real impact. Key Responsibilities Collaborate with cross-functional teams to enhance and optimize search algorithms for improved accuracy, relevance, and overall user experience. Experiment with Proof of Concept Machine Learning model improvements, scale them to production, and run iterative A/B experiments to enhance our matching technology. Define and clarify project objectives, deliverables, and success criteria in collaboration with cross-functional teams. Act as a bridge between technical and non-technical stakeholders, facilitating effective communication and understanding of project goals and outcomes. Mentor and develop other software engineers, data scientists, and Machine Learning Engineers across teams. Break down large Machine Learning projects into portions that deliver incremental business value and lead the team through implementation. Represent Indeed at major Machine Learning conferences like Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), and International Conference on Learning Representations (ICLR). Essential Qualifications To succeed in this role, you'll need: A Bachelor's degree in Computer Science, Mathematics, or related fields. 3+ years of industry experience as an AI Engineer, Data Scientist, or Machine Learning Engineer. Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while collaborating across teams. Solid understanding of data structures and algorithms. Sense of ownership and accountability as a key contributor in the technical and product domains. Knowledge and hands-on experience working with Deep Learning Libraries (like Torch, Tensorflow, etc.). Excellent written and verbal communication in English, effective with technical and business audiences. Preferred Qualifications While not essential, the following qualifications will give you a competitive edge: Experience working on large-scale search retrieval systems. Knowledge of cloud-based technologies and containerization (e.g., Docker). Familiarity with Agile development methodologies. Experience with data visualization tools and techniques. Skills and Competencies We're looking for someone with a deep passion for designing and building machine learning systems, who loves thought-provoking assignments, is eager to learn, and wants to work with diverse technologies to "help people get jobs." You'll need to be a team player with excellent communication skills, a strong sense of ownership, and a willingness to drive innovation. Career Growth Opportunities and Learning Benefits At Indeed, we're committed to helping our employees grow and develop their skills. As a Staff Data Scientist, you'll have opportunities to: Work on cutting-edge projects that drive business impact. Collaborate with cross-functional teams to share knowledge and expertise. Attend industry conferences and stay up-to-date with the latest developments in machine learning. Participate in mentorship programs and develop your leadership skills. Work Environment and Company Culture Indeed is a remote-friendly company that values flexibility and work-life balance. As a Staff Data Scientist, you'll be part of a global team that's passionate about making a difference. We offer a range of benefits and perks to support your well-being, including: Flexible paid time off policy. Well-being programs that support your mental and physical health. Opportunities for professional growth and development. A culture that values diversity, equity, and inclusion. Compensation and Benefits We're offering a competitive salary range of $30-40 per hour, depending on your experience and location. In addition to your salary, you'll be eligible for: Quarterly bonuses. Restricted Stock Units (RSUs). Paid Time Off coverage. Region-specific benefits. Why Join Indeed? At Indeed, we're on a mission to help people get jobs. We're looking for talented individuals who share our passion for innovation and customer satisfaction. As a Staff Data Scientist, you'll be part of a dynamic team that's shaping the future of job search technology. If you're looking for a challenging and rewarding role that offers opportunities for growth and development, we encourage you to apply! Equal Opportunities and Accommodations Indeed is an equal opportunities employer, committed to creating a workplace and global community where inclusion is valued and prioritized. We welcome applications from diverse candidates and are committed to providing accommodations for individuals with disabilities. Join Our Team! Even if you feel you're not a perfect match, we'd still love to hear from you. We're looking for great people to join our friendly team. Apply now and take the first step towards a rewarding career as a Staff Data Scientist at Indeed! Apply for this job