Senior Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Crossix Analytics is a business within Veeva dedicated to advancing healthcare marketing with analytics, innovative planning, targeting, measurement, and optimization solutions. Positioned at the center of big data, innovative technology, and multichannel media, Veeva Crossix provides most life sciences companies with insights to help make strategic business decisions and drive improved patient outcomes.

Veeva is seeking an intellectually curious, resourceful, and collaborative Data Scientist to join Veeva’s Advanced Analytics team. At Advanced Analytics we build the technology and data science products that power Veeva’s targeting, measurement, and optimization solutions. This is a great opportunity to be at the forefront of innovation and help us solve some of the most challenging problems in healthcare data and analytics.

What You’ll Do

• Apply Machine Learning and Statistics techniques to large health data sets to build new products and methodologies
• Collaborate closely with a team of Data Scientists, Product, and Engineers to improve and implement methods and features
• Rapidly build prototype product solutions, communicate findings, iterate
• Use technologies like AWS, Spark, Python, R, SQL, and Git in addition to proprietary data mining software on a daily basis

What You've Done

• Degree in a relevant technical field (Machine Learning, Computer Science, Operations Research, etc)
• 5+ Years of hands-on data science experience
• Highly proficient in Python and SQL
• Experience with source control workflows like GitHub
• Experience working with Big Data Technologies like Spark and AWS
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

Nice to Have

• Advanced degree (MSc, PhD preferred) in a relevant technical field (machine learning, computer science, operations research, etc)
• Practical experience applying Causal Inferences methodologies
• Experience with R preferred

Perks & Benefits

• Flexible PTO
• Allocations for continuous learning and development
• Health & wellness programs