Senior Data Scientist

Socket.dev; Seattle (WA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health coverage (medical, pharmacy, dental, vision)

Flexible time off (unlimited)

401(k) and life/accident/supplemental insurance

Job summary

Scorpion Therapeutics is seeking a hands-on Senior Data Scientist in Seattle, United States to transform ambiguous opportunities into measurable AI product hypotheses and solutions. The ideal candidate has over 5 years of experience in data science, machine learning, and applied AI, with proficiency in Python, SQL, and R.

This role involves partnering with engineers and product owners while evaluating AI systems across various functions. Offers comprehensive health coverage and flexible time-off policies.

Qualifications

• 5+ years in data science/ML/applied AI/analytics.
• Proficient in Python, SQL, and R.
• Experience with evaluation rubrics and hallucination risk assessment.

Responsibilities

• Frame questions into AI hypotheses and evaluation plans.
• Build prototypes using Python, SQL, and AWS services.
• Partner with Data Engineers on datasets and retrieval corpora.

Skills

Python

SQL

Data Science

Machine Learning

Statistics

NLP

AWS services

Education

BS+ in Data Science/Statistics/CS

Tools

pandas

NumPy

scikit-learn

PyTorch

TensorFlow

Job description

Summary

• Hands‑on Senior Data Scientist converting ambiguous scientific/business opportunities into measurable AI product hypotheses, experiments, and working solutions.
• Partner with AI, Data, App/Cloud, Frontend engineers, product owners, and domain experts to build/evaluate AI systems across R&D, Commercialization, Manufacturing, and Enabling Functions.

Key Responsibilities

• Frame questions into AI hypotheses, success metrics, evaluation plans, and rapid experiments; contribute to agile AI Accelerator cycles.
• Build prototypes using Python, SQL, notebooks, APIs, and AWS‑aligned data services.
• Support sandboxed/non‑production data problem solving (branch/transform/test/audit code+data experiments).
• Evaluate/curate analytical context (instructions, memory, tools, warehouse context, curated source meaning) and build analytical features (embeddings/classifiers/ranking/recommendations/simulation/optimization).
• Partner with Data Engineers on datasets, retrieval corpora, metadata, and feature pipelines (S3, Athena, PostgreSQL/RDS, vector DBs, knowledge graphs).
• Design evaluations for LLM/RAG/agentic workflows; create rubrics/golden datasets, validate structured outputs, taxonomy hallucination risk, SME review loops.
• Use LangGraph/LangSmith/PydanticAI (or similar) to test agent behavior and reliability; assess context vs raw retrieval.
• Define KPIs/measurement plans; use demos/sprint reviews to assess MVP progress; apply statistical/experimental/causal or quasi‑experimental methods.
• Create analyses/visualizations/narratives explaining behavior, limitations, and opportunities; partner on responsible AI/privacy/governance.

Qualifications & Required/Preferred Skills

• BS+ in Data Science/Statistics/CS/Engineering/Bioinformatics/Computational Biology/Applied Math or related.
• 5+ years in data science/ML/applied AI/analytics.
• Proficient in Python, SQL, R; pandas/NumPy/scikit‑learn/PyTorch/TensorFlow/statsmodels.
• Experience with ML/statistics/NLP/information retrieval/experimentation/decision science; LLM apps, RAG, agentic AI, prompt/evaluation design, structured outputs, context‑quality evaluation.
• Familiarity with AWS services (S3, Athena, RDS/PostgreSQL, OpenSearch, SageMaker, Bedrock) and vector DBs/knowledge graphs/embeddings.
• Experience with evaluation rubrics, hallucination risk, causal inference, simulation/optimization/recommendations; Streamlit preferred for prototyping.
• Communicate findings to technical/non‑technical audiences; use coding agents (Claude Code/Codex/Gemini CLI/Copilot).

Benefits

• Health coverage (medical/pharmacy/dental/vision), wellbeing support (accounts/EAP), financial protection (401(k), disability, life/accident/supplemental insurance, travel protection, legal support, identity theft).
• Paid time off; US exempt employees: flexible time off (unlimited) + 11 paid national holidays; other listed groups: 160 hours annual vacation + holidays.