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We are seeking a skilled data scientist to join our team and help us extract insights from complex data sets, drive data-informed decisions, and develop innovative solutions to complex business problems.





What You’ll Do

  • Data Collection: You will collect and organize data from a variety of sources, including our mobile app, website, social media, and third-party sources. This includes designing data pipelines and ETL processes to ensure data is accurate and easily accessible.

  • Data Analysis: You will use statistical analysis and machine learning techniques to analyze data and uncover insights that can be used to inform business decisions. This includes identifying patterns, trends, and correlations in the data, as well as developing predictive models to help forecast future trends.

  • Data Visualization: You will create visualizations and dashboards to help communicate complex data in a way that is easily digestible for non-technical stakeholders. This includes using tools like Tableau, Power BI, or D3.js to create interactive dashboards that enable stakeholders to explore the data on their own.

  • Experimentation: You will design and analyze experiments to test hypotheses and validate assumptions. This includes working closely with product managers and engineers to develop rigorous, statistically sound, and impactful experiments.

  • Collaboration: You will collaborate with organizational stakeholders to understand their data needs and provide insights that help drive decision-making. This includes working with product managers, marketing managers, and engineers to identify opportunities for data-driven improvements.

  • Continuous Learning: You will stay up-to-date with the latest trends and techniques in data science and constantly seek new ways to improve our data infrastructure, analysis methods, and insights.

Who You are

  • Experience: You should have at least 3-5 years of experience working as a data scientist, preferably in a fast-paced, data-driven environment. Experience working with large datasets and developing machine learning models is a plus.

  • Technical Skills: You should be proficient in statistical analysis and machine learning techniques and have experience working with tools like Python, R, SQL, and Tableau. Experience with cloud computing platforms like AWS, GCP, or Azure is also a plus.

  • Communication: You should have excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. You should be able to work collaboratively with others and be comfortable presenting your findings to senior leadership.

  • Analytical Thinking: You should be able to think critically and analytically and have strong attention to detail. You should be able to identify trends and patterns in data and be able to use data to make informed decisions.

  • Curiosity: You should be curious and constantly seeking out new ways to improve our data infrastructure, analysis methods, and insights. You should be willing to take risks and experiment with new approaches.

  • Passion: You should be passionate about using data to drive decision-making and be excited about the opportunity to make a positive impact on the world of travel. You should be committed to using your skills to help Local achieve its mission of connecting travelers with locals.

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