Community

Home >

Jobs >

Senior Data Scientist, Climate AI

Senior Data Scientist, Climate AI

1 Month ago • 3-8 Years • Data Analyst

About the job

5 skills required for this role

Test your skills to join the top 1% applicants for this job

unity

python

sql

data-science

forecasting-budgeting

Job Description

The Senior Data Scientist at Karmel will collaborate across projects to translate business questions into tractable analyses and mathematical models. Leveraging custom or existing data infrastructure, they will design and evaluate models to solve complex problems. Responsibilities include data gathering, extraction, and compilation using SQL, R, and Python, ensuring data quality and readiness for analysis. A crucial aspect of the role is bridging research models with end-user needs. The projects focus on climate change mitigation and adaptation, using AI for tasks such as traffic optimization, methane leak detection, flood forecasting, and wildfire tracking.

Must have:

Master's degree in relevant quantitative field or equivalent experience
5+ years experience (or 3+ with PhD) in analytics and coding (Python, R, SQL)
Experience querying databases and statistical analysis
Collaborate with stakeholders to define and solve problems
Design and evaluate mathematical models
Data gathering, extraction, and cleaning expertise

Good to have:

8+ years experience (or 6+ with PhD) in analytics and coding (Python, R, SQL)
Experience with large-scale datasets and climate-related data

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

Upload your resume, increase your shortlisting chances by 80%

About The Company

Google

1890 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.