Sr. Data Scientist I - Rockerbox

About the role

In the position of Sr. Data Scientist I at Rockerbox, you will play a pivotal role in empowering marketing leaders with data-driven insights to enhance their decision-making processes. This role requires a deep understanding of statistical methodologies and experimental design, as you will be responsible for developing robust testing frameworks that inform campaign effectiveness. You will work closely with cross-functional teams, particularly engineering, to integrate innovative testing methodologies into the Rockerbox platform. If you have a passion for data science and enjoy optimizing statistical models while driving impactful results, this opportunity is tailored for you.

Key facts

What you'll do

• Lead the comprehensive development of testing methodologies, ensuring they are statistically sound and reliable.
• Adapt and enhance existing testing packages, translating methodologies from R to Python to meet the platform's needs.
• Design and implement robust statistical frameworks that measure the effectiveness of marketing campaigns.
• Collaborate with engineering teams to seamlessly integrate your testing methodologies into the Rockerbox platform.
• Conduct thorough exploratory data analysis to refine testing parameters and enhance accuracy in results.
• Stay informed on the latest advancements in causal inference and experimental design techniques to keep Rockerbox at the forefront of the industry.
• Communicate complex statistical concepts and findings to non-technical stakeholders, providing actionable insights that drive marketing strategies.
• Monitor and evaluate the performance of implemented testing methodologies, making iterative improvements as necessary.
• Engage in cross-functional teamwork, contributing to product development discussions and helping to shape the future of the Rockerbox platform.
• Mentor junior team members, sharing your expertise in data science and fostering a culture of continuous learning within the team.

Requirements

• A minimum of 5 years of experience in data science, with a strong focus on statistical analysis and experimental design.
• Extensive knowledge of statistical testing methodologies, regression modeling, and experimental design principles.
• Proficiency in Python, particularly with libraries such as NumPy, Pandas, and Statsmodels; experience in adapting R-based packages is advantageous.
• Familiarity with marketing analytics concepts, including campaign allocation strategies and budget optimization techniques.
• Strong ability to distill complex statistical methodologies into clear, actionable insights for diverse audiences.
• Excellent problem-solving skills, with a proven track record of collaborating effectively with engineering and product teams.
• Experience in conducting exploratory data analysis to inform decision-making and refine testing frameworks.
• A degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline is preferred.

Nice to have

• Experience in working with marketing analytics tools and platforms, enhancing your understanding of the marketing landscape.
• Familiarity with machine learning techniques and their application in marketing analytics.
• Knowledge of A/B testing frameworks and best practices in experimental design.
• Previous experience in a fast-paced startup environment, demonstrating adaptability and innovation.

Skills & tools

• Strong analytical skills with a focus on statistical analysis and data interpretation.
• Proficient in programming languages, particularly Python, with a solid understanding of R as a secondary language.
• Experience with data visualization tools to effectively communicate insights and findings.
• Familiarity with SQL for data extraction and manipulation.
• Understanding of causal inference techniques to support decision-making processes.
• Ability to work collaboratively in a team-oriented environment, fostering communication and knowledge sharing.

Practical notes

• This position is based at our NYC Global Headquarters, offering a dynamic and collaborative work environment.
• The salary for this role is competitive and commensurate with experience, reflecting the value you bring to the team.
• We are committed to supporting your professional growth, providing opportunities for skill development in both technical and business domains.
• DoubleVerify values diversity and inclusion, and we encourage applications from all qualified individuals regardless of background.

At Rockerbox, you will find a vibrant and fast-paced environment where your contributions will have a direct impact on both our growth and the success of our clients. We pride ourselves on our iterative development process, allowing you to witness the results of your work come to fruition quickly. Join a supportive and light-hearted team that values collaboration, innovation, and continuous improvement. If you are ready to take your data science career to the next level and make a significant impact in the marketing analytics space, we invite you to apply for this exciting opportunity.