Data Scientist

Responsibilities

• Act as a data-domain subject matter expert and influence business decision-making
• Build, develop and deploy data science solutions in compliance with internal best practices and procedures
• Help establish best practices, understanding and compliance within the data science team
• Communicate with business stakeholders and clearly explain solutions
• Deliver data science solutions and establish next steps with stakeholders
• Ensure compliance with relevant procedures and processes and maintain evidence and audit trails
• Source and determine data availability, including internal, external and novel data sources
• Gather requirements from business units and propose and experiment with data science methodologies
• Wrangle, manipulate and clean data from multiple sources

Requirements

• Natural curiosity for data and passion to research and resolve real-life problems with data and modern technologies
• Ability to work collaboratively and communicate effectively
• Sound knowledge and experience developing and deploying statistical and machine learning models, supervised and unsupervised
• Python expertise
• SQL
• Big Data, including Spark
• BI tools such as Tableau or Power BI
• Modern software development experience and toolkit, including Git, code reviews, Feature Stores and CI/CD
• Design of experiments, such as A/B/N, multivariate, sample size calculation and factorial designs (desirable)
• Database, data warehouse or data lake experience, including SQL packages, processes, queries and data-model performance tuning (desirable)
• Cloud architecture experience, such as AWS or Microsoft Azure (desirable)

Core Competencies

Demonstrates expertise in developing and deploying data science solutions, with a strong focus on statistical and machine learning models. Proficient in data wrangling, compliance with best practices, and effective communication with stakeholders.

Highest-signal resume keywords

• Python Expertise
• SQL
• Big Data Including Spark
• Statistical And Machine Learning Models
• BI Tools Such As Tableau Or Power BI

Hard Skills

• Statistical Models
• Machine Learning Models
• Data Wrangling
• Data Manipulation
• Data Cleaning
• Feature Stores
• CI/CD
• Design Of Experiments
• Database Experience
• Data Warehouse Experience

Soft Skills

• Collaborative Work
• Effective Communication
• Natural Curiosity
• Problem Solving

Industry Keywords

• Data Science
• Compliance
• Data Availability
• Audit Trails
• Business Decision-Making

Tools & Technologies

• Git
• Tableau
• Power BI
• AWS
• Microsoft Azure