Senior Data Scientist

As a Senior Data Scientist at Adzact, your main responsibilities include designing and delivering advanced machine learning ad-targeting solutions, exploring diverse datasets, deploying cutting-edge AI methods, leading high-impact projects for global expansion, contributing to strategic planning, and mentoring junior team members. Your work will push the boundaries of B2B advertising.

To qualify for the Senior Data Scientist role at Adzact, candidates should possess an advanced degree in a quantitative discipline, at least 5 years of experience in delivering data science solutions commercially, and proficiency in Python's Data Science toolkit. Familiarity with cloud platforms and strong mentoring skills are also highly desirable.

Adzact is committed to employee development, offering a generous £1,000 annual professional development budget along with 12 days dedicated training time per year. We believe in fostering a growth environment where Senior Data Scientists can expand their skills and stay at the forefront of industry advancements.

As a Senior Data Scientist at Adzact, you will work on innovative projects that involve leveraging AI and machine learning to enhance B2B advertising strategies. You will explore vast datasets and implement solutions that will redefine how businesses engage in marketing, both locally and globally.

Adzact provides a competitive array of benefits for Senior Data Scientists, which includes flexible working hours, enhanced parental leave, private health and dental coverage, a generous pension contribution, and generous holiday allowances. We create a supportive and inclusive work environment.

In answering this question, share a specific project that highlights your leadership and technical skills. Discuss the problem you addressed, the methodologies used, and the positive outcomes. Be clear about your role and the impact this had on the company or clients.

Detail your favorite tools—like Python, pandas, and Jupyter—and explain how each contributes to your data analysis process. Highlight efficiency, ease of use, or specific features that have helped achieve project goals, showcasing your hands-on experience.

Discuss your mentorship philosophy, focusing on the importance of fostering a culture of collaboration and continuous learning. Share specific strategies you’ve employed, such as hands-on guidance, regular feedback sessions, or structured training initiatives.

Articulate strategies like implementing automated monitoring systems, A/B testing, or utilization of feedback loops to refine models continuously. Discuss decision-making processes in response to performance metrics, highlighting your analytical skills.

Walk the interviewer through a scenario where you identified a business challenge, outlined your analytical approach, and successfully developed a solution. Emphasize your ability to bridge the gap between business goals and data-led decisions.

Mention specific resources such as academic journals, notable conferences, or online courses you follow. Highlight your commitment to continuous learning and applying new information to your work at Adzact, showcasing your proactive approach.

Identify a particular challenge, whether technical or organizational, and illustrate how you navigated this situation. Emphasize problem-solving skills and adaptability, and focus on the outcomes that contributed to the project's success.

Highlight the importance of open communication and collaborative problem-solving. Provide examples of how you have previously handled disagreements, focusing on finding common ground and arriving at a consensus for the benefit of the project.

Discuss specific metrics relevant to the project or business goals, such as conversion rates, predictive accuracy, or user engagement levels. Highlight your analytical prowess in evaluating performance and outlining adjustments to improve outcomes.

Explain your prioritization process, including how you assess project urgency and importance. Discuss tools or methodologies you use, like the Eisenhower Matrix, and stress your ability to maintain flexibility and communication with stakeholders.