Applied Data Scientist

🕒 April 23

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HopHR

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎯 Recruiter

🤖 Artificial Intelligence

👥 HR Tech

Recruitment • Artificial Intelligence • HR Tech

HopHR is a recruitment company specializing in matching top-tier Machine Learning, AI, Data Science, and Big Data talent with companies ranging from startups to Fortune 500 enterprises. The company boasts a streamlined hiring process facilitated by an innovative AI-powered platform that ensures a high submission-to-interview rate. HopHR champions diversity-centric recruitment, actively sourcing diverse talent pools in the ML/AI and data sectors, placing a significant focus on female tech talent. Its services include recruitment outsourcing and building diverse talent pipelines, primarily serving sectors like healthcare, finance, and technology. HopHR's platform integrates AI sourcing tools and matching algorithms, facilitating a quick and efficient hiring process.

📋 Description

• Build and maintain ML models for classification, extraction, trend detection, and predictive scoring on large structured and unstructured datasets. • Design experiments and benchmarks to measure model accuracy, reduce bias, and validate outputs at scale. • Apply NLP techniques — embeddings, NER, text classification — to real-world data pipelines. • Partner with engineering to move models from experimentation to production; own monitoring and drift detection. • Build evaluation frameworks for AI-generated outputs across multiple product use cases.

🎯 Requirements

• BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field. • 3–5 years of applied data science; minimum 2 years working with NLP or large-scale text data in production. • Strong Python (pandas, scikit-learn, PyTorch or TensorFlow); proficient in SQL. • Demonstrated track record of shipping models into production, not just producing analysis. • Experience with embedding models and semantic similarity at enterprise scale. • No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities