דרושים Senior Data Scientist בכל הארץ

Company: BespokeLabs (VC-backed; founded by IIT & Ivy League alumni)

Type: Contract | Remote

Compensation: $25–$40/hour (open to reconsideration for exceptional talent)

About BespokeLabs

BespokeLabs is a venture-backed startup specializing in AI-driven systems and next-gen digital products. Founded by seasoned IIT and Ivy League alumni, our mission is to harness advanced machine learning to solve real-world problems with speed, precision, and scale.

Role Overview

We are seeking a highly skilled Senior Data Scientist with strong end-to-end ownership of ML projects, exceptional analytical ability, and hands-on experience building and deploying production-grade models.

Responsibilities

• Design, develop, and deploy machine learning and statistical models.
• Conduct data exploration, feature engineering, and hypothesis testing.
• Build scalable pipelines for model training, evaluation, and inference.
• Perform rigorous model evaluations and optimize for accuracy, performance, and stability.
• Collaborate with engineers to integrate models into production systems.
• Research and apply state-of-the-art ML and deep learning techniques.
• Communicate insights clearly to both technical and business stakeholders.

Requirements

• 5+ years of Data Science with real-world, production use cases.
• Strong proficiency in Python, machine learning algorithms, statistics, and model evaluation.
• Experience with ML libraries/frameworks: scikit-learn, TensorFlow, PyTorch, etc.
• Ability to manage full ML lifecycle: data prep → modeling → deployment → monitoring.
• Strong understanding of data structures, algorithms, and applied math fundamentals.
• Experience with cloud platforms (AWS/GCP/Azure) is a plus.
• Familiarity with MLOps tools (Airflow, MLflow, Docker, etc.) is beneficial.
• Kaggle competition experience or strong Kaggle profile is a significant plus.

Why Join Us?

• Work on challenging, high-impact AI problems.
• Be part of a high-talent, fast-moving, zero-bureaucracy team.
• Flexible remote contract role with competitive pay.
• Opportunity to grow into a long-term role based on performance.