Experienced Full Stack Data Scientist – Search Retrieval and Machine Learning Development

Are you a highly motivated and skilled Data Scientist looking to join a dynamic team that's revolutionizing the way people find jobs? Do you have a passion for designing and building machine learning systems that drive real-world impact? Look no further than careerzynith, the world's #1 process site, where we're dedicated to helping humans get jobs. As a Staff Data Scientist on our Search Retrieval team, you'll be at the forefront of improving and optimizing our search algorithms to deliver the best possible experience for our users. You'll work closely with cross-functional teams to develop and deploy innovative machine learning solutions that drive business results. If you're a problem-solver with a passion for data science, machine learning, and collaboration, we want to hear from you.

About careerzynith

careerzynith is a global leader in process seek and employment-associated offerings, connecting process seekers with employers worldwide. Founded in 2004, we've grown to become one of the largest and most widely used process seek engines. Our mission is to create an inclusive and accessible platform where everyone can find their dream job. We're committed to building a diverse and welcoming environment where everyone feels valued and empowered.

Job Responsibilities

As a Staff Data Scientist on our Search Retrieval team, you'll be responsible for:

• Collaborating with cross-functional teams to develop and deploy machine learning solutions that improve search accuracy, relevance, and user experience
• Experimenting with Proof of Concept machine learning version improvements, scaling them to production, and running iterative A/B experiments to enhance our matching generation
• Defining and communicating project objectives, deliverables, and success metrics in collaboration with cross-functional teams
• Acting as a bridge between technical and non-technical stakeholders, facilitating effective communication and understanding of project goals and outcomes
• Mentoring and developing other software engineers, data scientists, and machine learning engineers across teams
• Breaking down large machine learning projects into manageable components that deliver incremental business value and leading the team through implementation
• Representing careerzynith at major machine learning conferences, such as Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), and International Conference on Learning Representations (ICLR)

Skills and Competencies

We're looking for a highly skilled and motivated individual with:

• A deep passion for designing and building machine learning systems
• A strong background in computer science, mathematics, or a related field
• 3+ years of experience as an AI Engineer, Data Scientist, or Machine Learning Engineer
• Prior experience in deploying impactful machine learning solutions to large-scale production systems, working across teams
• Solid understanding of data systems and algorithms
• Sense of ownership and responsibility as a key contributor in the technical and product domains
• Knowledge and hands-on experience working with Deep Learning Libraries (e.g., Torch, Tensorflow)
• Excellent written and verbal communication skills, with the ability to communicate effectively with technical and business audiences

Salary and Benefits

We offer a competitive salary range of $30-40 per hour, with a comprehensive total rewards package that includes:

• Quarterly bonuses
• Restricted Stock Units (RSUs)
• Paid Time Off coverage
• A range of region-specific benefits

Work Environment and Culture

At careerzynith, we're committed to creating a welcoming and inclusive environment where everyone feels valued and empowered. We offer a flexible paid time off policy, a range of well-being programs, and a comprehensive total rewards package that reflects our commitment to our employees' well-being and success.

Equal Opportunities and Accommodations Statement

careerzynith is an equal opportunities employer, committed to building a diverse and welcoming environment where everyone feels valued and empowered. We're proud to be an inclusive employer, seeking to create a workplace where everyone can thrive.

How to Apply

If you're a highly motivated and skilled Data Scientist looking to join a dynamic team that's revolutionizing the way people find jobs, we want to hear from you. Apply now to join our friendly team and be part of our mission to help humans get jobs. Apply for this job