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.