Data Scientist II

This is a fully remote position, open to applicants in Maryland.

📋 Description

• Analyze data to either support or challenge a given thesis.

• Choose and apply the appropriate tools for the tasks at hand.

• Develop, train, evaluate, and validate various models.

• Integrate models into a production environment.

• Clearly document your processes and findings.

• Oversee and enhance models that are currently in production.

• Investigate agentic and reasoning systems.

• Carry out additional responsibilities as assigned.

⛳️ Requirements

• A Bachelor's Degree or equivalent professional experience.

• A minimum of 2 years of relevant experience in the AI field.

• Practical AI experience working with LLMs through API/SDK, along with deploying ML or DL models.

• A strong understanding of linear algebra, calculus, probability, and statistical inference.

• Knowledge of prompt engineering, RAG architectures, and fine-tuning methodologies.

• Proficiency in both supervised and unsupervised learning techniques.

• Ability to critically evaluate LLM outputs.

• Familiarity with tokenization, context windows, and inference optimization.

• Expertise in deep learning, including CNNs, RNNs/LSTMs, and transformers.

• Hands-on experience applying Reinforcement Learning algorithms.

• Experience with model testing frameworks and evaluation strategies.

• Strong skills in Snowflake/SQL.

• Proficient with pandas, NumPy, and data manipulation techniques.

• Background in data quality assessment, cleaning, and validation.

• Proficient in writing clean, production-quality Python code.

• Familiar with ML pipelines and feature engineering practices.

• Understanding of model serving patterns.

• Experience in deploying and maintaining models over time.

• Working knowledge of AWS services.

• Familiarity with containerization and orchestration technologies.

• Experience with Git for version control and collaborative development.

• Familiarity with tools such as JIRA, Confluence, Slack, Jupyter notebooks, and various Python packages.

• Knowledge of MLflow, Weights & Biases, or similar tools.

🏝️ Benefits

• 25 days of paid time off each year.

• 9 paid holidays plus 2 floating holidays.

• Parental leave available for new parents.

• Multiple medical plan options, including HSA and FSA choices.

• Coverage for dental, vision, and basic life insurance.

• 401(k) plan with a competitive company match.

• Employee Stock Purchase Plan (ESPP).