Mploy - דרושים
Mploy - דרושים

דרושים Data Scientist בכל הארץ

 נכון לתאריך

 

12/12/2025

 כל הארץ

 Braintrust

**Job Description

**At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.

**What We Do

**The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

**Position Overview

**We are seeking experienced data scientists to create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis and actionable business insights.

What You'll Do

  • Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)
  • Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)
  • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
  • Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction
  • Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility
  • Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency
  • Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)
  • Incorporate big data processing scenarios requiring scalable computational approaches
  • Verify solutions using Python with standard data science libraries and statistical methods
  • Document problem statements clearly with realistic business contexts and provide verified correct answers

****Problem Domains (Examples)


  • Business Analytics & Predictive Modeling

  • Customer segmentation, churn prediction, and CLV modeling algorithms

  • Fraud detection with precision-recall optimization

  • A/B test statistical calculations and experimental design

  • Cohort analysis and retention rate computations

  • Model evaluation metrics and performance optimization

  • Statistical Analysis & Data Processing

  • Hypothesis testing with multiple comparison corrections

  • Causal inference: propensity score matching, difference-in-differences

  • Complex ETL pipeline logic and multi-source data integration

  • Missing data imputation and outlier detection algorithms

  • Feature engineering: encoding, interactions, dimensionality reduction

  • Time Series & Forecasting

  • Trend decomposition and seasonality detection

  • Stationarity testing and autocorrelation calculations

  • Forecast accuracy metrics and moving average computations

  • Optimization & Operations Research

  • Resource allocation and constraint satisfaction problems

  • Cost-benefit analysis and capacity planning optimization

  • Network analysis and supply chain calculations

  • Database & Mathematical Foundations

  • Complex SQL query optimization and window functions

  • Probability computations for business scenarios

  • Linear algebra operations and matrix factorization

  • Information theory metrics (entropy, mutual information)

  • Optimization algorithms and convergence analysis

**Requirements

******Education & Core Experience


  • Advanced degree (Master's or PhD) in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field
  • 5+ years of hands-on data science experience with proven business impact
  • Portfolio of completed projects and publications showcasing real-world problem-solving

Technical Skills

  • Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
  • Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications
  • SQL and database operations for data manipulation and analysis

****Modern AI/ML (Highly Valued)


  • Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
  • Understanding of MLOps practices and model deployment workflows
  • Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)

Professional Skills

  • Ability to design problems reflecting real-world business scenarios and industry challenges
  • Strong analytical and problem-solving skills with attention to detail
  • Experience translating business requirements into technical solutions
  • Clear technical writing and documentation skills
  • Proficient in English for problem creation and communication

Preferred Qualifications

  • Cross-industry experience (finance, telecommunications, healthcare, technology)
  • Research background with publications or case studies
  • Teaching, mentoring, or training experience
  • Professional certifications in data science or machine learning

**Compensation

**Task-based compensation.

****Application Process

****Please submit:

  • CV/Resume highlighting ML research or engineering background
  • Domain knowledge test
  • Python test
  • 1-2 sample computational ML problems you've created (with solutions)
  • Brief statement about your experience with computational ML problem-solving
  • Interview

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