Senior Data Scientist

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Sojern

πŸ“Remote - Ireland

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 β€œwhy”, 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)
This job is filled or no longer available

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