Experienced Senior Data Scientist - Ranking Science and Machine Learning Expert for Innovative Job Search Platform Development

Introduction to arenaflex arenaflex is a pioneering force in the job search industry, dedicated to creating an inclusive and accessible workplace where everyone feels comfortable being themselves. As the world's #1 process site, our mission is to assist humans in getting jobs, and we strive to domesticate an environment that fosters innovation and growth. We're seeking to expand our teams with more folks who share our enthusiasm for developing the best experience for job seekers. With a unique dataset of jobs, resumes, applications, and outcomes, our Core AI group collaborates with partners across the organization to address "big picture" issues and deliver transformative, long-term value. Day-to-Day Responsibilities As a Senior Data Scientist at the Matching and Relevance Team, you will play a crucial role in preparing datasets, training and optimizing models, and maintaining and enhancing model inference services. You will research and apply new techniques from open-source applications and research publications, creatively adapting models to solve business issues across arenaflex. Your expertise will be instrumental in developing machine learning models from prototype to production, implementing best practices for evaluation, monitoring, and MLOps, and collaborating cross-functionally with teams across the organization on model inference and product applications. Key Responsibilities: Develop machine learning models from prototype to production, focusing on ranking science and relevance Implement best practices for evaluation, monitoring, and MLOps to ensure seamless model deployment Collaborate cross-functionally with teams across the organization on model inference and product applications, driving business growth and innovation Participate in code review and process innovation for software engineers and data scientists at the group, and report your work to ensure transparency and accountability Balance technical and product thinking, demonstrating ownership for team goals and arenaflex's mission to assist humans in getting jobs Essential Qualifications To succeed in this role, you will need: A Bachelor's Degree in a quantitative field (such as Computer Science, Math, the physical sciences, the social sciences, or associated fields) 2+ years of industry experience as a Software Engineer, Data Scientist, or Machine Learning Engineer, with a strong background in machine learning and data science Significant area expertise with training, fine-tuning, and evaluating large models, including experience with Deep Learning Libraries (like PyTorch, TensorFlow, Huggingface, etc.) Knowledge of recommendation systems, specifically rating algorithms, is preferred, as well as prior experience in production machine learning transport at scale Basic operating knowledge of Java is preferred, although not required Preferred Qualifications While not essential, the following qualifications will be advantageous: Experience working with large datasets and distributed computing environments Knowledge of natural language processing and computer vision techniques Familiarity with agile development methodologies and version control systems (such as Git) Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams Skills and Competencies To excel in this role, you will need to demonstrate: Strong technical skills in machine learning, data science, and software engineering Excellent problem-solving and analytical skills, with the ability to break down complex problems into manageable components Effective communication and collaboration skills, with the ability to work effectively with cross-functional teams A strong passion for innovation and growth, with a willingness to learn and adapt to new technologies and techniques Career Growth Opportunities and Learning Benefits At arenaflex, we're committed to helping our employees grow and develop their careers. As a Senior Data Scientist, you will have access to: Ongoing training and development opportunities, including workshops, conferences, and online courses Mentorship and coaching from experienced professionals in the field Opportunities to work on high-impact projects and collaborate with cross-functional teams A culture that values innovation, creativity, and experimentation, with a willingness to take calculated risks and learn from failures Work Environment and Company Culture arenaflex is dedicated to creating a welcoming and diverse environment that values inclusion and belonging. Our company culture is built on the principles of: Respect and empathy for all employees, regardless of their background, culture, or identity A commitment to diversity, equity, and inclusion, with a focus on creating a workplace that reflects the diversity of our users A culture of innovation and experimentation, with a willingness to take calculated risks and learn from failures A focus on employee well-being and happiness, with a range of benefits and perks designed to support your physical, mental, and emotional health Compensation, Perks, and Benefits As a Senior Data Scientist at arenaflex, you can expect: A competitive salary range of $30-40 per hour, depending on experience and location A comprehensive benefits package, including health insurance, retirement savings, and paid time off Access to a range of perks and benefits, including flexible working hours, remote work options, and professional development opportunities A culture that values work-life balance and employee well-being, with a focus on creating a healthy and sustainable work environment Conclusion If you're a motivated and experienced Senior Data Scientist looking to join a dynamic and innovative team, we encourage you to apply for this exciting opportunity. At arenaflex, we're committed to creating a workplace that values inclusion, diversity, and belonging, and we're excited to welcome talented professionals who share our passion for innovation and growth. Apply now to join our team and help us shape the future of job search and employment! Apply for this job