Seargin

Requirements 'must have':

 

Data Science & Machine Learning:

\- Substantial hands-on experience applying statistical modeling and machine learning to solve complex business problems.

\- Expertise in Exploratory and Confirmatory Data Analysis, Statistics, Probability, and Optimization.

\- Proficiency in data analysis, preprocessing, and preparation.

\- Experience with Time Series Forecasting (applied industrial experience is a plus), Anomaly Detection, NLP, GenAI, Deep Learning.

\- Advanced knowledge of Python, experience with Kedro.

 

Cloud & MLOps/DevOps:

\- Experience with Cloud infrastructure & services (AWS).

\- Solid understanding of MLOps and DevOps key principles.

\- Container expertise, including Dockerisation and cloud-native Kubernetes services (e.g., Amazon EKS, GKE, AKS).

\- Proficiency in Continuous Integration / Continuous Delivery / Automation (e.g., GitHub, GitLab).

\- Infrastructure Automation: Configuration Management and Infrastructure as Code using Terraform (e.g., AWS CloudFormation, AWS CDK).

 

Data Engineering & Architecture:

\- Experience in Data Warehousing design and development (e.g., Snowflake).

\- Strong SQL development skills.

\- Ability to design end-to-end data pipelines.

\- Expertise in Solution Architecture design.

 

Visualization:

\- Familiarity with visualization tools (e.g., Streamlit, Posit, Tableau).

\- Full-stack knowledge and troubleshooting experience.

 

Requirements 'nice to have':

Understanding of finance processes is a plus.

Data

Data analytics

Amazon

Automation

Machine learning

Python

DevOps

Data warehouse

Deep Learning

Kubernetes

Cloud

Analysis

Tableau

Infrastructure

Continuous Integration

Forecasting

GitLab

Statistics

Data Pipelines

Terraform

AWS Cloud Infrastructure

Data Science

Statistical model

Exploratory Data Analysis

Probability

Code optimization

Data processing

Time Series Forecasting

Anomaly Detection

Generative AI

MLOps

Containerization

Continuous Deployment

Data Engineering

GPAA Data Scientist / MLOps / Data Engineer