Senior Data Scientist
Fourkites
IndiaPosted 13 days ago
Skill Required
Data ScientistMachine LearningandFulltime
Key highlights
- Competitive compensation with stock options
- Senior-level role focusing on ETA/ATA forecasting and NLP extraction
- 36 PTO days plus 5 global recharge days and 2 volunteer days
- Requires strong ML fundamentals across regression, classification, and time‑series forecasting
- Experience with AWS and Airflow for cloud and orchestration
- Direct impact on business outcomes through operational savings and efficiency gains
Role overview
FourKites tackles complex supply chain challenges for customers like Cardinal Health and Walmart. The Senior Data Scientist will build and own machine learning models for core prediction problems such as ETA/ATA forecasting and message‑based status extraction, working end‑to‑end from data pipelines to production deployment and monitoring while collaborating with product, engineering, and operations teams.
Responsibilities
- Design, build, and productionize ML models for ETA/ATA prediction using regression, classification, and time‑series forecasting techniques
- Develop NLP/LLM‑based extraction pipelines for message‑based ETA and status updates (text extraction, entity recognition)
- Own models end‑to‑end: data pipeline → training → deployment → monitoring → retraining
- Work with noisy, real‑world logistics and supply chain data (GPS pings, check calls, carrier data) rather than clean, pre‑processed datasets
- Diagnose gaps between offline evaluation performance and live production accuracy, and drive fixes
- Build and maintain automated training/retraining pipelines using orchestration tools such as Airflow
- Set up and maintain model monitoring and observability (e.g., Grafana) to catch drift and degradation proactively
- Replace manual or rule‑based processes with ML‑driven automation (e.g., automating manual check calls)
- Translate model performance improvements into business impact — operational savings, efficiency gains, and deal‑relevant outcomes
- Mentor and guide other data scientists/engineers on technical approach and best practices
- Make build‑vs‑buy and architecture tradeoff decisions independently
Requirements
- Strong ML fundamentals across regression, classification, and time‑series forecasting
- NLP experience — text extraction, entity recognition, or LLM‑based extraction
- Production ML experience — shipped models serving real traffic, not just POCs or notebooks
- Strong Python and SQL skills — pandas, scikit‑learn, and comfort querying large datasets (Redshift/Snowflake a plus)
- Experience with cloud and data infrastructure — AWS (S3, EC2), and orchestration tools like Airflow for training/retraining pipelines
- Experience setting up or working with model monitoring and observability tooling (Grafana or similar)
- Comfortable working with noisy, real‑world data rather than clean, curated datasets
- Experience diagnosing and closing the gap between offline evaluation results and live production performance
- A track record of replacing manual/rule‑based processes with ML solutions
- Ability to translate model output into business value and communicate that impact to non‑technical stakeholders
- Experience collaborating cross‑functionally with product, engineering, and operations teams
- Experience mentoring or guiding other data scientists or engineers
- Ability to make build‑vs‑buy and architecture tradeoffs independently
- A track record of reducing manual intervention or turnaround time through automation
- Excellent oral and written communication skills
Nice to have
- Experience in logistics, supply chain, or transportation
- Familiarity with real‑time/streaming data (Kafka)
- Exposure to LLM/GenAI applications in production
Benefits
- Competitive compensation with stock options
- Medical benefits start on first day of employment
- 36 PTO days (Sick, Casual and Earned), 5 global recharge days, 2 volunteer days
- Home office set‑ups and technology reimbursement
- Lifestyle & family benefits
- Mental wellness support and guidance
- Ongoing learning & development opportunities (Professional development program, Toast Master club, etc.)
- Parental leave for all parents
- Annual wellness stipend
- Diversity and inclusion initiatives throughout the year
- Collaborative culture for employees worldwide
Additional details
- FourKites is the leader in AI‑driven supply chain transformation for global enterprises and pioneer of real‑time visibility
- FourKites Intelligent Control Tower® creates a real‑time digital twin of orders, shipments, inventory and assets
- The platform processes over 3.2 million supply chain events daily, serving 1,600+ global brands
- FourKites is an equal opportunity employer and celebrates diversity
- The posting was originally posted on Himalayas
- The team is dedicated to providing the industry's best‑in‑class end‑to‑end supply chain visibility platform and building a high‑performing, ML‑driven team