Associate, Data Scientist

Key Skills

A/B Testing, Analytical and Problem solving, Data Engineering, Data pipelines, Data science techniques, Data Visualization, Database, Dataiku, Design, Java Programming, Machine learning techniques, Python Programming, Spotfire, SQL, Tableau

Job Description

• Work with the business partner to establish relationships with customers and understands data science needs 
• Develops documentation including initial requirements and design for data and AI/ML use cases. 
• Create data pipelines for efficient and repeatable data wrangling, preprocessing, and feature engineering 
• Apply statistical analysis and visualization techniques to various data (E.g., principal components analysis) 
• Apply various ML and advanced analytics techniques to perform classification or prediction tasks 
• Testing of ML models, such as cross-validation, A/B testing, bias, and drifts 
• Collaborate with machine learning engineers and data engineers, and IT to evaluate model deployment, serving and operation capabilities 
• Build medical and commercial domain knowledge over time 
• Actively support the enablement of users via: 
• Contributing and managing our knowledge base and community forums 
• Partnering to offer short term project/solutions support and guidance 
• Coordinate and promote training offerings 
• Technical Support Liaison 
• Up-skill to maintain ‘expert’ status in our data science platform

 BASIC QUALIFICATIONS

• BS in computer science, data science, /or an engineering/quantitative field 
• 0-2+ years of work experience 
• Strong hands-on skills in data engineering, machine learning and data visualization skills 
• Strong hands-on skills in software engineering (e.g., Python) 
• Strong hands-on skills for data and machine learning pipeline orchestration via Dataiku (DSS 9 or 10), or similar, platform 
• Strong hands-on skills in Data Visualization platforms (e.g. Tableau, Spotfire)
• Strong database querying skills (SQL) across many different technologies 
• Strong communication skills (written & verbal) 
• Containerization and underlying infrastructure knowledge to support performance and resource optimization is a plus 
• Experience with analytical problem solving 

PREFERRED QUALIFICATIONS 

• At least 1 year of experience in the field of data and analytics