Junior Data Scientist

This is a fully remote position, open to applicants in India, +1 more country.

📋 Description

• Assess AI-generated outputs related to data science, statistics, machine learning, experimentation, and quantitative analysis tasks.

• Design challenging and well-defined prompts along with technical problems to evaluate analytical reasoning and practical data science abilities.

• Prepare and validate datasets for testing AI models in various statistical and machine learning applications.

• Create precise reference answers, calculations, and analytical solutions for evaluation benchmarks.

• Detect statistical inaccuracies, erroneous assumptions, flawed methodologies, and improper data interpretations.

• Evaluate mathematical reasoning, analytical methods, and evidence-based conclusions in AI-generated results.

• Offer clear and actionable feedback on mistakes, missing steps, and potential areas for improvement.

• Validate analytical outcomes, examine solution consistency, and ensure objective and reproducible evaluation standards.

• Articulate statistical concepts, analytical techniques, and evaluation results through comprehensive technical documentation.

⛳️ Requirements

• A minimum of one year of professional experience in a reputable organization within the technology, finance, research, or a related field.

• At least a portion of the relevant professional experience should have been acquired within the last three years.

• Fundamental knowledge of data science, statistics, machine learning, and quantitative analysis.

• Excellent analytical and problem-solving capabilities, with a critical approach to evaluating data-driven conclusions.

• Familiarity with statistical methods, experimental design, data interpretation, and model assessment.

• Skill in identifying incorrect calculations, methodological flaws, and unsupported conclusions.

• Strong written communication abilities, particularly in conveying technical and statistical concepts.

• Capacity to work independently, adhere to evaluation guidelines, and provide accurate, high-quality assessments.

• Proficiency in Data Science Fundamentals.

• Knowledge of Statistics and Probability.

• Understanding of Machine Learning Fundamentals.

• Capability in Quantitative Reasoning.

• Experience in Data Analysis and Interpretation.

• Expertise in Statistical Methodology.

• Proficient in Analytical Problem-Solving.

• Competence in Technical Writing and Documentation.

• Skills in Python Programming.

• Experience with SQL and Data Manipulation.

• Familiarity with Pandas, NumPy, and scikit-learn.

• Knowledge in Experimental Design and Hypothesis Testing.

• Experience in Predictive Modeling and Model Evaluation.

• Ability in Dataset Creation and Validation.

• Understanding of AI Model Evaluation and Benchmarking.

• Background in Technology, Finance, or Research Organizations.

• Experience in 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 outputs or validating analytical solutions.

• Ability to clearly articulate complex quantitative concepts in concise English.

• Preference will be given to candidates located in English-speaking countries.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and career advancement.

• Flexible work hours and remote working options.

• Comprehensive health and wellness benefits.

• Collaborative and innovative work environment.