Data Scientist - Moloco Commerce Media

The Data Scientist at Moloco Commerce Media is responsible for conducting detailed data analyses to inform R&D decisions. This includes analyzing large datasets, optimizing complex bidding algorithms, establishing appropriate performance metrics, and driving business collaboration through advanced analytical methods.

To qualify for the Data Scientist role at Moloco, candidates should possess a strong background in data science, with at least four years of industry experience or an advanced degree in a quantitative discipline. Proficiency in programming languages like Python or R, along with experience in statistical analysis and experimental design, is essential.

Moloco offers a dynamic and collaborative work environment for Data Scientists, fostering teamwork and inclusion. Located in Redwood City, California, you will be part of a global company that promotes professional growth while embracing diverse perspectives.

A Data Scientist at Moloco plays a vital role in enhancing product effectiveness by leveraging data insights to optimize advertising algorithms. Through rigorous A/B testing and advanced analytics, you will inform strategic decisions that improve user targeting and ad performance.

The base pay range for a Data Scientist at Moloco in Redwood City is between $167,000 to $190,000 USD, depending on experience and qualifications. Along with competitive compensation, Moloco offers a comprehensive benefits package designed to support the well-being of employees.

When answering this question, provide specific examples of projects where you utilized data analysis to drive decisions. Highlight the tools and techniques you used, the challenges you faced, and the measurable outcomes of your analysis.

Discuss a systematic approach to problem-solving, including data collection, cleaning, and analysis methods. Explain how you prioritize projects and how you ensure accuracy while analyzing large datasets.

Be prepared to elaborate on your familiarity with statistical methods such as regression analysis, hypothesis testing, and experimental design. Use examples to demonstrate your application of these methods in previous roles.

Share a detailed story of a project where you implemented machine learning techniques to solve a business problem. Discuss the context, your approach, the algorithms used, and the results achieved.

Emphasize the importance of clear communication. Describe how you simplify complex data into understandable terms using visuals and layman’s language without losing the significance of the analysis.

Discuss your experience designing and analyzing A/B tests. Share the objectives of the tests, how you controlled variables, and what insights you derived from the results to guide business decisions.

Provide an example where you faced a disagreement. Explain how you approached the conversation with data-backed reasoning, remaining open to understanding the stakeholder's perspective while advocating for your findings.

Talk about your proficiency in programming languages like Python or R, including specific libraries or frameworks you’ve used. Tie your programming skills to past projects where coding was essential to your analyses.

Discuss how feature engineering plays a critical role in improving model performance, description of techniques you've employed, and the impact of well-engineered features on model outcomes when applied in practical scenarios.

Express your enthusiasm for Moloco's mission and culture. Relate your career goals to the opportunities Moloco offers for growth, innovation, and the chance to contribute to a cutting-edge ad-tech environment.