Jobs

Scholarships

Courses

Companies

Placements

Community

Home >

Jobs >

Senior Data Scientist, Climate AI

Tel Aviv District, Israel (On-site)

Senior Data Scientist, Climate AI

4 Days ago • 5-8 Years • Data Analyst

About the job

Summary_{By Outscal}

5 skills required for this role

Boost these skills to join the top 1% applicants for this job

Must have:

Master's degree in relevant field or equivalent experience
5 years of work experience with analytics, coding, and database querying
Expertise in Python, R, and SQL
Strong analytical and problem-solving skills
Experience in data gathering, extraction, and validation

Good to have:

PhD degree in a relevant field
8 years of work experience in analytics and data science
Experience with climate-related data and modeling
Knowledge of machine learning and deep learning techniques
Experience with cloud computing platforms

Not hearing back from companies?

Unlock the secrets to a successful job application and accelerate your journey to your next opportunity.

Minimum qualifications:

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.

Preferred qualifications:

8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.

About the job

The Karmel team focuses on climate AI initiatives. Our mission is to enable actionable information to mitigate and adapt to climate change at scale. We aim to make communities more resilient, improving global welfare.

Our projects span climate mitigation (e.g., GreenLight (optimizing traffic lights to reduce road transport emissions) and Methane leak detection) as well as climate adaptation efforts including flood forecasting, wildfires boundary tracking, post disaster damage assessment (SKAI), food security and weather predictions (Oya).

Additionally we support horizontal efforts such as geo foundational models and Mmeka (globally mapping buildings and fields).

Responsibilities

Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Be responsible for bridging between the research models, capabilities, and end user needs.

View Full Job Description

About The Company

Google

3388 Active Jobs

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.