- Company Name
- Arrows Group
- Job Title
- Senior Data Scientist
- Job Description
-
**Job Title**
Senior Data Scientist
**Role Summary**
Lead the design, development, and deployment of production‑ready data science solutions focused on forecasting and optimization for large‑scale supply chain or logistics workflows. Drive end‑to‑end ML pipelines in a cloud data environment, collaborating with data engineering and business stakeholders to solve complex, ambiguous problems at scale.
**Expectations**
- 12‑month rolling contract, inside IR35.
- Proven experience building production‑grade predictive models; research‑heavy candidates not required.
- Strong ability to navigate and reduce ambiguity, iterate quickly, and scale solutions.
- Deep familiarity with forecasting or optimization in logistics or supply chain contexts.
**Key Responsibilities**
- Develop and maintain machine‑learning models for demand forecasting, route optimization, inventory planning, and related logistics problems.
- Engineer data pipelines and feature stores using PySpark, SQL, and cloud‑native services.
- Orchestrate batch and streaming workflows with Airflow or Dagster; manage jobs on Databricks or equivalent Spark platforms.
- Deploy models to AWS (SageMaker, Lambda, Batch) or GCP (Vertex AI, Dataflow, BigQuery ML) and monitor performance, latency, and drift.
- Collaborate with product, operations, and data engineering teams to translate business requirements into technical specifications.
- Continuously optimize pipeline performance, cost, and scalability.
**Required Skills**
- Production data‑science experience; strong coding in Python (pandas, numpy, scipy, PySpark).
- Advanced SQL expertise against cloud data warehouses (Snowflake, Redshift, BigQuery).
- Proficiency with Spark/Databricks for large‑scale data processing.
- Experience scheduling and monitoring workflows with Airflow or Dagster.
- Cloud platform knowledge: AWS (S3, Glue, Redshift, SageMaker) or GCP (BigQuery, Dataflow, Vertex AI).
- Expertise in forecasting or optimization algorithms and techniques.
- Familiarity with supply chain or logistics domain adds value.
**Required Education & Certifications**
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Operations Research, or a closely related field.
- Relevant professional certifications (e.g., AWS Certified Machine Learning – Specialty, GCP Data Engineer, Databricks Certified Data Engineer) are an advantage but not mandatory.