Data Scientist

About Rezolve AiRezolve Ai (NASDAQ: RZLV) is an industry leader in AI-powered solutions, specializing in enhancing customer engagement, operational efficiency, and revenue growth. The Brain Suite delivers advanced tools that harness artificial intelligence to optimize processes, improve decision-making, and enable seamless digital experiencesAs a leader in Product Discovery, we empower retailers and brands with AI-driven search, conversational commerce, geofencing, and one-touch instant payments. With recent acquisitions of ViSenze, GroupBy and Bluedot, Rezolve is accelerating innovation at the intersection of AI, commerce, and customer engagementTo help us build upon our success, we are seeking a Data Scientist to contribute in improving our search system performance and scalability. The position reports to the Head of Algorithm and will work in close conjunction with the Product, Algorithm/Data Science, and various Engineering teams

WHAT YOU'LL BE DOING

Understand complex real-world problems and leverage domain knowledge to develop reliable models

Strategize ways of constructing training datasets that are representative, diverse and free of bias

Continuously review model performance with sharp analytical skills, identify potential issues and improve them iteratively

Optimize workflows and processes, as well as develop useful tools to boost the efficiency and scalability of routine tasks

Provide requirements for new or existing internal tools to improve internal analytical capabilities, pipelines and platforms

Be an expert in communicating insights and recommendations to audiences of varying levels of technical sophistication

YOU ARE A PERFECT FIT IF YOU HAVE

Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Operations Research, or a related quantitative field

At least 2 years of experience with building machine learning and predictive model

Familiar with Python is a must

Familiar with essential data science libraries, including Pandas, Numpy, Scipy, Scikit-Learn and Matplotlib

Sound knowledge of popular deep learning frameworks, such as PyTorch, TensorFlow, MXNet, Caffe, etc

Strong problem-solving mindset, down-to-earth attitude, passion for machine learning and everlasting curiosity to learn

BONUS POINTS FOR

Excellent communication skills — able to present their findings and models to senior stakeholders 

Have experience in deploying models and systems into production environments 

Have knowledge of golang

Have experience with developing Deep Learning Models for images and texts

Familiar with Software Development Life Cycle (SDLC)

Fluent in Data Visualization

WHAT WE OFFER

The opportunity to be at the forefront of AI-first eCommerce Search & Product Discovery

A fast-paced and dynamic work environment with a focus on innovation and growth

Competitive salary and benefits package

The chance to work with a talented and passionate team

Make a real impact on a product that is transforming the ecommerce industry

Join us and help us empower the future of eCommerce!Rezolve is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Rezolve are based on business needs, job requirements, and individual qualifications, without attention to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, veteran or disability status, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Rezolve will not tolerate discrimination or harassment based on any of these characteristics. Rezolve encourages applicants of all agesWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.