Department: Research & Development

Location: EMEA-Israel

Description

We are looking for a talented Data Scientist who is a strong team player to join our Data Science team. As a Data Scientist, you will play a key role in shaping our analytics pipeline. Dive into diverse datasets, using ML algorithms, and lead end-to-end projects - starting from gathering requirements, through development, to deployment and presentation to stakeholders. Your Python expertise, along with data-driven thinking, will contribute to predictive insights and innovative solutions.

Key Responsibilities

• Own end-to-end development cycle- from business understanding to development, deployment and monitoring
• Develop, maintain and improve advanced AI/ML models with a wide range of tasks and diverse datasets (structured, text, images)
• Interpret data using statistical techniques and leverage machine learning algorithms to drive actionable insights.
• Collaborate with cross-functional teams, including engineers and product managers, to understand business challenges and design data-driven solutions.
  
  

Skills, Knowledge & Expertise

• M.Sc. academic degree in Computer Science, Engineering, Mathematics, Statistics, or relevant field
• 3+ years of proven Data Scientist experience
• Strong coding capabilities in Python and SQL
• Strong experience in ML algorithms and libraries such as scikit-learn, TensorFlow or PyTorch, LLM and common quality measurements
• Motivated and eager to tackle challenges with a “can-do attitude”
• All-around team player who is a self-motivated, fast learner
• Fluent in English, both written and verbal
• Advantages: Experience with ML models in production, familiarity with Spark, Databricks and LLM
  
  

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Equal Opportunity Statement

Align Technology is an equal opportunity employer. We are committed to providing equal employment opportunities in all our practices, without regard to race, color, religion, sex, national origin, ancestry, marital status, protected veteran status, age, disability, sexual orientation, gender identity or expression, or any other legally protected category. Applicants must be legally authorized to work in the country for which they are applying, and employment eligibility will be verified as a condition of hire.