Research Engineering Expert – Earth Sciences

Job not on LinkedIn

🔥 9 minutes ago

🇮🇳 India – Remote

💵 $300 / year

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

📚 Research Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Convert real-world Earth-science research workflows into well-defined, self-contained terminal-based benchmark tasks • Prepare and process climate, atmospheric, geological, hydrological, oceanographic, remote-sensing, and other environmental datasets • Build reproducible environments using scientific libraries, command-line utilities, and domain-specific tools • Create reliable expert solutions using Python, R, Bash, Julia, or other relevant scientific programming languages • Develop tasks involving geospatial analysis, numerical simulation, time-series processing, interpolation, forecasting, remote sensing, and environmental risk assessment • Define objective evaluation criteria for scientific outputs, numerical accuracy, data transformations, model behavior, and spatial or temporal correctness • Verify coordinate reference systems, measurement units, timestamps, missing-data handling, scientific assumptions, and numerical consistency • Develop automated tests for numerical tolerances, output formats, metadata, reproducibility, and task requirements • Diagnose and resolve issues involving geospatial projections, large datasets, dependencies, computational performance, and numerical stability • Document data provenance, task instructions, expected outputs, edge cases, scientific limitations, and validation procedures • Complete the initial application and interest confirmation • Complete a 120-minute technical assessment • Work with delivery managers through application and assessment review

🎯 Requirements

• PhD in an Earth Sciences discipline is mandatory, including climate science, atmospheric science, geophysics, oceanography, geology, hydrology, remote sensing, environmental modeling, or Earth-system science • Strong expertise in at least one Earth-science specialization, supported by academic research or relevant professional experience • Proficiency in Python, C/C++, MATLAB/Octave, Julia, or similar programming languages used for scientific simulation, modeling, and data analysis • Hands-on experience with scientific data processing, numerical modeling, geospatial analysis, environmental datasets, or time-series analysis • Experience developing, debugging, and validating computational workflows • Comfort working independently in Linux and terminal-based environments • Strong understanding of scientific quality control, spatial and temporal data, uncertainty, and numerical accuracy • Excellent analytical, problem-solving, and technical documentation skills • Available to begin immediately • Ability to commit to approximately 40 hours per week and at least 4 hours of daily overlap with PST • Ability to complete a 120-minute technical assessment • Must use the same email address for the Interest Check Form and agency portal submission

🏖️ Benefits

• No medical benefits • No paid leave • Contract duration: 5 weeks • 40 hours per week • At least 4 hours of daily overlap with Pacific Standard Time (PST)