Senior Data Scientist

Summary

Join Sojern's Data Scientist team and contribute to enhancing the performance of AI-driven marketing products. As a Senior Data Scientist, you will collaborate with cross-functional teams, lead experimentation projects, apply statistical analysis, and communicate findings to stakeholders. You will leverage your expertise in SQL, Python, and causal inference techniques to drive data-informed decisions and contribute to product roadmap development. The ideal candidate possesses strong analytical skills, experience in the advertising technology ecosystem, and excellent communication abilities. Sojern offers a comprehensive benefits package including competitive compensation, stock options, flexible work options, paid time off, parental leave, and various wellness programs.

Requirements

• Possess strong problem-solving and analytical skills to understand business problems, develop hypotheses, work with large datasets, and apply appropriate methodologies to drive data-informed decisions
• Demonstrate intermediate/advanced proficiency level in analytical tools and techniques
• Have SQL expertise for data collect, process, and analysis to identify trends and patterns
• Have Python proficiency (e.g. pandas, statsmodels, sklearn, numpy, and other related libraries/packages) for data visualization, data analysis, and statistical modeling
• Be proficient in spreadsheet usage (e.g. Microsoft Excel, Google Sheets), including pivot function and complex formulas
• Have 2+ years of experience as a data scientist, ideally within the advertising technology ecosystem
• Possess a strong understanding of statistical concepts, measurement methods, and causal inference techniques e.g. randomized control trials, difference-in-differences, synthetic control modeling
• Have effective verbal and written communication skills to collaborate across-functionally and present insights to technical and non-technical audiences, influencing product roadmaps
• Demonstrate curiosity and initiative with a mindset of asking “why”, and propose ideas that drive incremental impact
• Have the ability to collaborate across time-zones and adjust priorities as needed
• Possess attention to detail to ensure high quality of delivery in analytical tasks, documentations, and business requirement gathering
• Hold an MS/PhD in a quantitative discipline or equivalent experience (e.g. Economics, Statistics, Data Science, Applied Mathematics, Computer Science, Operations Research)

Responsibilities

• Collaborate across functional teams, including Product Managers, Software Engineers, Analysts, and Scientists to enhance the performance, delivery, and efficiency of Sojern’s AI-driven marketing products
• Lead scientific domain in experimentation projects from scoping, test design, implementation, measurement, and insights delivery
• Apply statistical analysis, hypothesis testing, quasi-experimental techniques to rigorously evaluate experiments and draw actionable and data-driven conclusions
• Communicate findings and recommendations to both technical and non-technical stakeholders, enabling faster and more informed decision-making
• Identify opportunities to improve methodologies and processes as well as develop scalable solutions that drive impact, e.g. productionize modeling codes, build recyclable reporting templates
• Contribute to data-driven product roadmap and scientific project prioritization
• Train and mentor analyst members on scientific methodologies as needed to support team growth

Preferred Qualifications

• Have knowledge of digital marketing (e.g. paid media, targeting, attribution, impression, CPM, click through rate)
• Have experience with Tableau or other visualization software

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)
• 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)