Senior Data Scientist

About the role

FourKites is looking for a Senior Data Scientist to build and own machine‑learning models that power core prediction problems across its supply‑chain visibility platform. You will turn noisy logistics data into scalable models that improve ETA/ATA forecasting and automate status extraction, directly impacting customer outcomes.

Key responsibilities

• Design, build, and productionize ML models for ETA/ATA prediction using regression, classification, and time‑series techniques.
• Develop NLP/LLM pipelines for extracting ETA and status updates from messages.
• Own the full model lifecycle: data pipeline, training, deployment, monitoring, and retraining.
• Build automated training/retraining pipelines with Airflow and set up model observability using Grafana.
• Translate model improvements into operational savings and efficiency gains.

Required profile

• Strong fundamentals in regression, classification, and time‑series forecasting.
• Hands‑on experience shipping production ML models at scale.
• Proficiency in Python and SQL, with experience using pandas and scikit‑learn.
• Experience with AWS services (S3, EC2) and orchestration tools such as Airflow.
• Ability to work with noisy, real‑world logistics data and close the gap between offline evaluation and live performance.

Required skills

• Python
• SQL
• pandas
• scikit‑learn
• AWS (S3, EC2)
• Airflow
• Grafana
• Redshift or Snowflake
• NLP / LLM
• Time‑series forecasting

What we offer

• Medical benefits starting day one
• 36 PTO days plus 5 recharge days and 2 volunteer days
• Home office setup and technology reimbursement
• Mental wellness support and ongoing learning opportunities
• Competitive compensation with stock options