About the role

Aplyr's Quick Take

This role is for an Applied Data Scientist focused on building and maintaining machine learning models, particularly using NLP techniques on large datasets. You'll be working closely with engineering to deploy models into production and ensure their performance. It's an individual contributor role that requires hands-on technical skills.

Good fit

Ideal candidates have 3-5 years of experience in applied data science, with a strong background in NLP and production-level model deployment. A collaborative working style and proficiency in Python and SQL are essential.

Worth noting

The position requires being in the office at least four days a week, which may not suit remote work seekers. Additionally, the company is still in its early stages, which could mean a fast-paced, evolving environment.

Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.

We are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.

Location: San Francisco, SoMa — minimum 4 days per week in-office.

What you'll do

• 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.

What we require

• 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.

Skills & Tags

python go ai data product design

Aplyr's read

HopHR is a tech-driven company enhancing workplace productivity with innovative solutions, attracting talent in AI, data science, and product management.
Synthesized from recent postings & public sources

What's promising

•Focuses on cutting-edge AI and data science roles, indicating a forward-thinking approach.
•Diverse roles in pharma and technology suggest a multidisciplinary work environment.
•Strong emphasis on innovation with positions like AI Architect and Agentic Models Engineer.

What to watch

•Limited public information about company culture and employee satisfaction.
•Potentially high-pressure environment due to focus on rapid tech innovation.
•Heavy focus on tech roles may limit opportunities for non-technical professionals.

Why HopHR

•Specializes in enhancing productivity through tech solutions, setting it apart from generic tech firms.
•Offers niche roles in pharma analytics, blending healthcare and technology.
•Emphasizes AI and data partnerships, showcasing a commitment to cutting-edge tech integration.

Aplyr’s read is generated by AI from public sources. Was it useful?