Senior Data Scientist ML Foundations

Description

We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and generative AI technologies, for solving problems within a wide scope.

As a part of our ML Foundations team, you will work on highly complicated challenges, from research to production, and help shape our algorithms and AI capabilities. You will work with Data scientists, Software engineers, Product Managers, and business owners on growth opportunities and new ideas.

You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.

WHAT AM I GOING TO DO?

• Take leading roles in innovative and cross-domains projects using cutting-edge technologies
• Research and development of foundation data science capabilities
• Work closely with various departments in the company to provide advanced Data Science solutions end to end.
• Write and own tools and frameworks that will integrate in production models.
• Build frameworks to train, evaluate, deploy and monitor machine learning models using reliable and scalable infrastructure.
• Create modular, reusable code libraries and tools to streamline model development, evaluation, and testing processes.
• Independent research and innovation in new content and technological domains.
• Lead and advise other team members.
• Continuously produce new initiatives and improvement ideas.
  
  

Requirements

• MSc in Computer Science/Engineering or related field with a focus on applied statistics, AI, machine learning, or related fields - a must.
• 6+ years of production environment experience, working with predictive and probabilistic models, clustering algorithms, classification models, search and recommendation techniques - a must.
• Proven record for successful production implementation of translating product/business requirements into a technical solution.
• Team player, Ability to handle several tasks simultaneously.
• Strong knowledge in Python, SQL, and NoSQL.
• Spark and Big data technologies experience – an advantage.
• Research experience - an advantage.
• Experience with e-commerce - an advantage.
  
  

At Fiverr, we’re not about checklists. If you don’t meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you.

EQUAL OPPORTUNITIES

At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.