Staff Data Scientist

Summary

Join CloudFactory, a mission-driven team passionate about using AI to transform the world, and become our Staff Data Scientist. You will lead a team of data scientists, manage complex projects, drive innovation in data-driven decision-making, and build analytics models to extract valuable insights. This role involves machine learning and AI development, performance model building, fraud detection, research and innovation, volume forecasting, and business performance analysis. You will also mentor junior data scientists and collaborate with stakeholders. CloudFactory offers a people-centric culture, focusing on team growth and well-being. The ideal candidate possesses extensive experience in data science, strong leadership skills, and expertise in various technologies.

Requirements

• Demonstrates competence in performing core data science tasks independently. Can select appropriate machine learning algorithms, train and evaluate models, and interpret basic results
• Can independently clean and prepare data for analysis using established techniques
• Can select and apply machine learning algorithms (e.g., linear regression, k-nearest neighbors) to solve specific problems
• Can train and evaluate models using appropriate metrics (e.g., accuracy, precision, recall) and identify basic performance issues
• Can create data visualisations to communicate model results and insights to stakeholders
• Strong analytical and problem-solving skills are essential
• 8+ years of hands-on experience in leading and implementing core data science projects, including a minimum of 2+ years experience mentoring or managing data science/analytics teams
• Expertise in advanced SQL for data extraction, manipulation, and analysis
• Hands-on experience with Snowflake, including data warehousing, performance optimization, and query tuning to ensure efficient data retrieval and management
• Strong proficiency in Python, including production-level coding and statistical packages
• Solid background in Statistical Modeling, Time Series Analysis, Machine Learning, and AI
• Deep understanding of cloud platforms (AWS/Azure/GCP) and big data tools (Spark, Databricks, Snowflake)
• Hands-on experience with Docker, AWS Lambda, Sagemaker, Airflow/Prefect for pipeline automation
• Strong ability to assess the application of machine learning & statistical techniques for appropriate usage and evaluation
• Well-versed in data engineering concepts, including data transformation, modeling, ETL pipelines
• Expertise in data visualization and storytelling for impactful business insights

Responsibilities

• Machine Learning & AI Development: Design, train, and deploy advanced machine learning models for predictive insights. Enhance automation and optimize analytics methodologies for improved efficiency
• Develop & Monitor Performance Models: Build predictive models to assess user and team performance, growth, and churn. Design analytics for customer health, behavioral trends, and upgrade/downgrade probabilities
• Fraud Detection & Prevention: Lead efforts in fraud analytics, refining detection models and developing proactive strategies to mitigate risk and identify anomalies in data behavior
• Research & Innovation in Data Science: Explore new methodologies/LLMs/GenAI to improve data-driven decision-making
• Volume Forecasting: Predict future workload volumes based on historical data and trends to optimize resource allocation
• Develop a deep understanding of business performance levers, adding insight to information and helping to form recommendations as to how to improve overall performance of the platform business
• Prepare and present compelling visual representations of the analysis that is easy to share and understand, with various stakeholders from exec level down
• Oversee and guide a team of data scientists
• Provide technical mentorship to junior data scientists
• Support the professional development of the data science team
• Collaborate with stakeholders to align AI solutions with business goals and operational strategies
• Work closely with the wider Data Science, Product and Tech teams to provide collaborative insight on customer behaviour across our products

Preferred Qualifications

• Experience in developing dashboards using Tableau or QuickSight
• Familiarity with data integration tools like Fivetran and DBT

Benefits

• Market competitive salary
• Quarterly variable compensation
• Remote and Home working
• Comprehensive medical cover
• Group life insurance
• Personal development and growth opportunities
• Office snacks and lunch
• Periodic team building and social events