With climate change, the demand for a climate data scientist is increasing, here are the top 10 jobs for September

Anyone who has worked in the technology field understands what data science has brought to the table for businesses and consumers. It is a transformative phenomenon that is touching every facet of our lives. But the power of data isn't just about making products more consumer-friendly, companies more efficient, or consumers more satisfied with their purchasing power. It is also having a dramatic impact on how we confront a wide range of world challenges that humans face in an increasingly populated, competitive, and even polluted world. With these, the demand for climate data scientists is increasing. Here is the list of the top 10 climate data scientist jobs to apply for in September.

Weather and Climate Data Scientist

Shell

Responsibilities:

• Researching machine learning models for forecasting and time series analysis using the latest methods

• Write clean and maintainable production-level code, including tests; the tech stack we work with includes (you don't need to have an experience with all of them): Fortran, Python (Pandas, Scikit Learn, etc.), GIT, Docker, Azure, SQL

• Work closely with the customer and the Product Owner day-to-day

• Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities

• Documenting and explaining the results of analysis or modeling to both a technical and non-technical audience

• Learning new engineering practices, and technologies and continuously improving our Agile practices

Click here to apply

Data Scientist – Climate Resilience Analytics

McKinsey & Company

Requirements:

• Graduate degree in atmospheric science, meteorology, climate/earth systems science, hydrology, civil/environmental engineering, astrophysics, or similar fields; Ph.D./postdoc highly preferred

• Experience working with climate models (e.g., CMIP5 GCMs, RCMs, etc.), ensemble analysis, uncertainty quantification

• Preferred modeling experience in flood/hydrological modeling, bias correction/downscaling methods, climate impact assessments

• Knowledge in climate risk assessment, extreme events analysis

• Ability to work with large, multi-dimensional data (e.g., netCDF, GRIB, TIFF files)

Click here to apply

Senior Methane Emissions Specialist / Data Scientist (Mid-Senior Level)

ERM INDIA PVT. LTD

Responsibilities:

• Creating new, experimental frameworks to collect data

• Providing insight and guidance based on current and upcoming regulatory or market drivers for methane emissions

• Automate remote sensing, geospatial, or climate science workflows

• Develop cloud-based tools to assist in workflow standardization and automation

• Build tools to automate data collection and analysis

• Manipulate and analyze multi-dimensional and time series data

Click here to apply

Data Engineer

Climate Connect

Responsibilities:

• Iterate, build and implement our data model, data warehousing, and data integration architecture using AWS & GCP services

• Build solutions that ingest data from source and partner systems into our data infrastructure, where the data is transformed, intelligently curated, and made available for consumption by downstream operational and analytical processes

• Integrate data from source systems using common ETL tools or programming languages (e.g., Ruby, Python, Scala, AWS Data Pipeline, etc.)

• Develop tailor-made strategies, concepts, and solutions for the efficient handling of our growing amounts of data

• Work iteratively with our data scientist to build up fact tables (e.g. container ship movements), dimension tables (e.g. weather data), ETL processes, and build the data catalog.

Click here to apply

Geospatial Research Scientist

University of North Carolina Asheville

Requirements:

• Master's degree in natural resources, environmental science, geography, or closely related field.

• At least 10 years of increasing experience and responsibility utilizing GIS and geospatial technologies for natural resource and environmental science research and data management.

• Proven experience in working with coastal and natural resources data. Familiar with state, federal, and tribal agencies that provide spatial data about coastal hazards, community infrastructure, and fish and wildlife species and habitats.

• Must possess advanced knowledge of and technical proficiency with Esri ArcGIS Pro and ArcGIS Online software.

• Prior experience with developing educational and outreach materials and providing educational resources to various stakeholders and decision-makers.

Click here to apply

Atmospheric Data Scientist

UC San Diego

Requirements:

• Thorough knowledge of research function. Ability to work with large datasets with different formats and components, including NetCDF, GRIB, and binary.

• Thorough skills associated with statistical analysis and systems programming. Proven expertise in programming including shell scripting, Matlab, IDL, Fortran, Perl, NCL, and Python, amongst other programming languages. Must be proficient in Linux environments.

• Thorough skills in analysis and consultation. Strong time management skills. Ability to prioritize tasks appropriately and meet deadlines.

• Skills to communicate complex information clearly and concisely both verbally and in writing. Skills in scientific visualization, scientific writing, and experience presenting at scientific conferences (poster and oral presentations).

• Skills in project management. Strong time management skills. Can prioritize tasks. Meets deadlines.

Click here to apply

Machine Learning Scientist, Climate Modeling

Boston, MA, USA

Responsibilities:

• Design, build, deploy, and maintain machine learning models to achieve the research and business objectives of the Research department.

• Collaborate with and provide support to other research groups to develop new machine learning tools and enhance existing models.

• Evaluate model performance on real-world data and present findings to key decision makers.

• Identify appropriate data sources and process, clean, and verify the integrity of data used for analysis.

Click here to apply

Research Analyst, Climate and ESG

Intercontinental Exchange

Responsibilities:

• Produce weekly commentary on ESG risks and opportunities facing the public finance sector.

• Use QGIS to create custom spatial files, e.g., taxing districts, which are inputted into our catastrophe models for risk assessment.

• Research and collect information on climate action plans, social and economic programs/investments, and municipal/corporate governance practices

• Use R Studio and Excel for data analyses e.g., public datasets and debt issuance data

• Perform quality assessment of our product and offer support on projects that will bolster the user experience

Click here to apply

Scientist – Sensory & Perceptual Research

Impossible Foods

Responsibilities:

• Be the lead perceptual scientist on research and product development projects that result in the creation of new plant-based products.

• Design, conduct, analyze and interpret perceptual experiments for both R&D and S&P projects. Be hands-on for experiments, assisting cross-functional teams as needed to ensure rigorous, unbiased testing and analysis.

• Proactively collaborate cross-functionally and manage multiple projects that adhere to fast timelines.

• Provide mentorship to junior team members. In time, may manage direct reports and provide career development opportunities, feedback, and managerial guidance, as needed.

• Research and develop new testing methodologies, new workflows, and new ways of evaluating and assessing risk.

Click here to apply

Scientist, Sustainability Science and Modeling

Indigo

Responsibilities:

• Support life cycle assessment (LCA) initiatives across the company

• Assist in foundational LCA framework decisions for program development across many sectors (Renewable Fuel Standard, food-based supply chains, farm-level grain scores)

• Develop specifications for engineers around LCA system boundaries, Life Cycle Impact Assessment methods, and allocation/co-product procedures for various programs

• Collaborate with other scientists, Product Managers, UX designers, policy experts, data scientists, and engineers to drive our products forward

Click here to apply