Senior Data Scientist

Crossix is a health-focused technology company dedicated to advancing healthcare marketing with analytics and innovative planning, targeting, measurement, and optimization solutions. Positioned at the center of big data, innovative technology, and multichannel media, Crossix, a Veeva Company, provides our clients with insights to help make strategic business decisions and drive improved patient outcomes. Crossix knows that our employees are integral to our success, which is why we have created an inclusive culture where everyone can thrive. Along with competitive salaries and benefits, we invest in opportunities for career growth, and provide other perks, such as team outings, fitness allowances and professional development. Crossix is headquartered in New York with growing offices in Minsk, Belarus and Kiryat Ono, Israel.  We are also a member of the Belarus Hi-Tech Park.
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

If this role and our exciting company culture seem appealing to you, please apply! We want to continue to grow our diverse team of hardworking and humble people who are passionate about their work. We hope that’s you!