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Data Scientist

TLV, Israel · Full-time · Senior

About The Position

Windward is seeking a skilled and passionate Data Scientist to join our AI group.

At Windward, we are dedicated to creating a safer, more transparent, frictionless, and efficient maritime industry. Our mission is to empower governments and businesses with actionable intelligence and prompt, data-driven decision-making processes.

The AI group at Windward provides insights, understands maritime risks, and identifies unusual patterns, turning ideas into demonstrable customer value. We are a dynamic and fast-paced company revolutionizing the maritime industry. The ideal candidate is a problem solver with a deep understanding of data science, capable of taking projects from concept to production.

What will you do?

Develop and implement various models (e.g., predictive models, classifiers, analyze time series data, and ship behavioral pattern algorithms) on proprietary data.
Lead projects from ideation to production, ensuring solutions are effective in real-world scenarios, and monitored for quality over time.
Build products with LLM and GenAI
Collaborate with product managers to understand problems and define solutions.
Contribute to the research environment/infrastructure in order to improve the flexibility and speed of our delivery

Requirements

Who are you?

B.Sc. or M.Sc. in Computer Science, Statistics, Mathematics, or a related field.
5+ years of experience in implementing machine learning algorithms in the industry, all the way to production.
Proficient in Python and experienced in bringing ideas to production, including coding, testing, and monitoring.
Experience with classical time series analysis or deep learning.
Ability to learn new tools and methodologies as needed.
Strong understanding of ML concepts.
Excellent communication skills and working fluency in English.
Flexible and willing to work with a variety of tools and models.
Team player who prefers simple and effective solutions.

Nice-to-Have Qualifications:

Familiarity with generative AI (GenAI).
Experience working with geospatial data.
Experience with big data technologies (e.g. Spark).
Familiarity with existing ML ecosystem tools (e.g., Qwak, MLFlow)
Experience with customer communication and interaction.