or apply directly on FourKites's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 23 days FourKites's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 63% of FourKites's roles list one
- Ghost-job risk at FourKites
- high 11 stale, 1 reposted of 16 open
- Hiring momentum
- 22 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from FourKites's own greenhouse board since 2026-08-03. Full hiring picture for FourKites.
About this role
As a Senior Data Scientist at FourKites, you will design and implement machine learning models to solve core prediction challenges, such as ETA/ATA forecasting and message-based status extraction. Your role involves managing the entire lifecycle of these models, from data pipeline development to production deployment and monitoring. You will collaborate closely with cross-functional teams and mentor other data scientists, while working with complex, real-world logistics data.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of FourKites as an employer.
What you need
- Strong ML fundamentals across regression, classification, and time-series forecasting
- NLP experience — text extraction, entity recognition, or LLM-based extraction
- Production ML experience — you've shipped models serving real traffic, not just built 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)
Nice to have
- Experience in logistics, supply chain, or transportation
- Familiarity with real-time/streaming data (Kafka)
- Exposure to LLM/GenAI applications in production
What you get
- Medical benefits start on first day of employment
- 36 PTO days (Sick, Casual and Earned), 5 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.)
Worth weighing
- No salary listed
- Role involves working with noisy, real-world data rather than clean datasets
- Expectations for mentoring and guiding other data scientists may require strong leadership skills
Summarised from FourKites's posting. Read the full original.
Listed by FourKites on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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