Data Scientist

As a Data Scientist at Tombras, you will lead advanced analytics client engagements that include Media Mix Modeling, Multi-Touch Attribution, and Forecasting. Your responsibilities encompass the entire process from initial client consultations to final delivery of impactful results, helping to create tailored marketing science frameworks while collaborating with both technology and media teams. You will also be instrumental in identifying new data sets to enhance existing models and ensure that the insights you articulate drive continued client engagement.

Candidates applying for the Data Scientist position at Tombras should ideally have an M.S. or Ph.D. in fields such as Data Science, Statistics, or Mathematics, along with a solid foundation in advanced analytical techniques. Proficiency in tools like Python, R, and SQL is essential. Experience in marketing science is a plus, but a strong client services mindset and the ability to influence stakeholder actions based on data insights are key.

At Tombras, Data Scientists will employ a variety of state-of-the-art tools for advanced analytics. Mastery of statistical tools such as Python, R, and SQL is crucial. You will also have the opportunity to develop proprietary marketing technology tools in collaboration with our Technology and Media practices, ensuring you have access to the best resources to execute your work effectively.

Tombras values work-life balance and offers several benefits to support it, including family-friendly policies and unlimited PTO. Employees have access to generous parental leave, medical benefits for dependents, and a company culture that promotes internal promotions and rapid career development. The supportive, dog-friendly office environment also fosters collaboration and team spirit.

Tombras is committed to fostering career growth for Data Scientists through a company culture that emphasizes promotions from within and ongoing skill development. As a member of our advanced analytics team, you will have opportunities to work on a diverse range of high-profile projects, allowing for continuous learning and professional development in a supportive environment.

Certainly! In your response, detail any specific projects where you applied Media Mix Modeling. Describe the tools you used, the data sets you worked with, and the outcomes you achieved. Highlight how your insights directly influenced marketing decisions for clients.

Discuss your approach to dealing with missing data. Mention techniques such as imputation, using algorithms that handle missing values, or selecting only complete cases, while emphasizing the importance of understanding the context of the missing data.

List techniques such as Bayesian Regression, Multi-Touch Attribution, and Time-Series Forecasting. For each method, provide examples of how you’ve implemented them in past projects and the impacts they had on business outcomes.

Explain your process for distilling complex data into digestible insights. You might mention using clear visuals, concise language, and regular check-ins with clients to ensure they are following your analysis and its implications.

Provide a specific example where your data-driven insights guided a client's strategy or marketing efforts. Highlight your approach in communicating those insights, and the techniques you used to persuade stakeholders.

Share your knowledge and practical experience with A/B testing methodologies. Discuss how you have set up tests, defined success metrics, analyzed results, and made recommendations based on the data collected.

Talk about a predictive modeling project, detailing the data you used, your modeling techniques, and the results achieved. Emphasize the business insights derived from your model and its subsequent impact.

Mention resources and networks you leverage, such as industry conferences, online courses, or professional groups. Explain how staying updated helps you enhance your work at Tombras and better serve clients.

Discuss your time management strategies, such as using project management tools or frameworks that help you prioritize tasks based on urgency and importance. Stress the value of communication with your team to align on priorities.

Talk about your experiences working in teams and how you foster a collaborative atmosphere. Highlight the importance of open communication, sharing knowledge, and how you handle differences in opinions within the team.