Junior Data Scientist

Job not on LinkedIn

🔥 8 minutes ago

🌐 India, United States – Remote

🇮🇳 India – Remote 🇺🇸 United States – Remote

💵 $150 - $200 / hour

⏳ Contract/Temporary

🟢 Junior

📊 Data Scientist

🚫👨‍🎓 No degree required

👻 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

• Evaluate AI-generated outputs on data science, statistics, machine learning, experimentation, and quantitative analysis tasks • Create challenging, well-defined prompts and technical problems assessing analytical reasoning and practical data science skills • Prepare and validate datasets for testing AI models across statistical and machine learning use cases • Develop accurate reference answers, calculations, and analytical solutions for evaluation benchmarks • Identify statistical errors, incorrect assumptions, flawed methodologies, and inappropriate data interpretations • Assess mathematical reasoning, analytical methods, and evidence-based conclusions in AI-generated solutions • Provide clear, actionable feedback on errors, missing steps, and improvement opportunities • Validate analytical results, review solution consistency, and ensure objective, reproducible evaluation criteria • Explain statistical concepts, analytical approaches, and evaluation findings through technical documentation

🎯 Requirements

• At least one year of professional experience at a well-established company in technology, finance, research, or a related field • At least part of the relevant professional experience should have been gained within the past three years • Foundational knowledge of data science, statistics, machine learning, and quantitative analysis • Strong analytical and problem-solving skills, with the ability to evaluate data-driven conclusions critically • Understanding of statistical methods, experimental design, data interpretation, and model evaluation • Ability to identify incorrect calculations, methodological weaknesses, and unsupported conclusions • Strong written communication skills, particularly when explaining technical and statistical concepts • Ability to work independently, follow evaluation guidelines, and deliver accurate, high-quality assessments • Data Science Fundamentals • Statistics and Probability • Machine Learning Fundamentals • Quantitative Reasoning • Data Analysis and Interpretation • Statistical Methodology • Analytical Problem-Solving • Technical Writing and Documentation • Python Programming • SQL and Data Manipulation • Pandas, NumPy, and scikit-learn • Experimental Design and Hypothesis Testing • Predictive Modeling and Model Evaluation • Dataset Creation and Validation • AI Model Evaluation and Benchmarking • Experience in Technology, Finance, or Research Organizations • Experience working at a recognized technology company, financial institution, or research organization • Professional exposure to statistical analysis, machine learning projects, quantitative research, or data-driven decision-making • Familiarity with evaluating AI-generated answers or validating analytical solutions • Ability to communicate complex quantitative concepts in clear, concise English • Candidates based in English-speaking countries are preferred.