Senior Applied Scientist, Data Scientist

Summary

Join Sojern's Applied Science team as a Senior Applied Scientist to enhance the performance of our targeting and optimization products. You will design and maintain machine learning models, optimize campaign metrics, implement pipelines on Google Cloud Platform, and collaborate with cross-functional teams. This role requires hands-on experience building production-level ML and data products, expertise in data science, and proficiency in Python and SQL. Sojern offers a comprehensive benefits package including competitive compensation, stock options, flexible work options, paid time off, parental leave, healthcare options, and professional development opportunities.

Requirements

• You have hands-on experience building production-level ML and data products
• You have expert-level understanding of data science topics
• You have at least two years experience as an applied scientist / data scientist / ML engineer
• You have an MS or PhD in computer science or a quantitative discipline, or equivalent experience
• You have written and put Python code into production and can reason about algorithmic efficiency
• You have strong knowledge of cloud computing platforms, such as AWS, Azure, or Google Cloud
• You can design and apply machine learning models (supervised, unsupervised, reinforcement learning etc.) to solve business problems
• You can effectively communicate with applied scientists, data scientists, engineers and product managers
• You can evaluate, analyze and interpret model results resulting in further improvement of existing statistical model performance
• You can perform complex data analysis using SQL/Jupyter notebook to find underlying issues and propose a solution to stakeholders explaining the various trade-offs associated with the solution
• You can use your grit and initiative to fill in gaps and drive projects to completion

Responsibilities

• Design and maintain machine learning models to optimize campaign targeting
• Model key performance advertising metrics like conversion rates and click through rates, and use those metrics to automate estimation of campaign bids and budgets
• Improve systems that optimize campaign performance and pacing
• Implement machine learning pipelines on Google Cloud Platform
• Write and ship production-level python code
• Write and execute complex SQL queries to extract and transform data from various sources
• Collaborate with other applied scientists, software engineers and product managers to design and implement solutions based on business requirements
• Document code and processes for future reference and maintainability
• Participate in the entire Agile development lifecycle, including sprint planning, stand-ups, and retrospectives

Preferred Qualifications

• You have experience with Google Cloud Platform
• You have good knowledge of at least one other programming language in addition to Python (Go, C++, etc.)
• You have experience with Docker
• You have at least one year of experience within the Ad Tech ecosystem

Benefits

• Competitive compensation packages
• Stock options offered to every employee
• Bonusly program to reward and recognize team wins and performance
• Employees can take up to 40 hours of paid time per year to volunteer and give back to the community
• Flexi-Friday benefit
• Hybrid or remote work options for most roles
• Time-zone friendly work hours with async collaboration
• Team offsites planned annually
• Six employee resources groups
• Regular virtual and in office team building events
• Monthly company All Hands & leadership Q&As
• PTO allowance to recharge
• Comprehensive healthcare options
• Paid parental leave (16 weeks for birthing parents; 12 weeks for non-birthing parents)
• Retirement contributions and investment options (for applicable locations)
• Travel benefits (hotel stay benefit & IATA membership)
• Plus mental health, wellness & financial health resources
• Learning & development stipend
• Mentorship program
• Career development programs
• Leadership training
• Home office tech set up (laptop, monitor, keyboard, mouse)
• Monthly internet and phone allowance
• Modern tools to communicate and collaborate (Slack, Google Suite)