Data Scientist
📍 Location: San Francisco, California, United States (Hybrid)
🏢 Industry: Software Development
💼 Work Setting: Hybrid
Are you passionate about transforming complex data into meaningful insights that drive business decisions? We are looking for a skilled Data Scientist to work across the full data lifecycle, turning large and diverse datasets into trusted analytics, actionable intelligence, and impactful reporting. This role is ideal for someone who enjoys uncovering patterns in data, building scalable analytical solutions, and communicating findings through compelling narratives and visualizations.
What You'll Do
- Own the end-to-end analytics process, from data acquisition and preparation through analysis, reporting, and delivery of data products.
- Query, explore, and analyze large structured and unstructured datasets to generate accurate, reliable, and actionable insights.
- Develop and maintain recurring metrics, analytical frameworks, dashboards, and reporting solutions that support business objectives.
- Support a variety of analytical initiatives across customer behavior, market trends, operational performance, digital engagement, and product insights.
- Transform complex analyses into clear, engaging stories and visualizations that help stakeholders make informed decisions.
- Conduct ad hoc investigations and deep-dive analyses to answer business-critical questions.
- Leverage AI-powered analytical tools and intelligent assistants to enhance productivity, accelerate discovery, and improve reporting quality.
- Collaborate with engineering, product, business, and leadership teams to define data requirements and continuously improve data quality and accessibility.
- Contribute to the enhancement of data pipelines, analytical processes, and reporting methodologies.
What You'll Need to Succeed
- Bachelor's degree or equivalent experience in a quantitative discipline such as Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
- 4-6 years of experience in data science, analytics, business intelligence, research, or a similar analytical role.
- Strong proficiency in SQL and Python for data analysis, exploration, and business problem-solving.
- Experience using AI-powered and agent-based tools to improve analytical workflows while maintaining rigorous quality standards.
- Hands-on experience with Databricks or comparable large-scale data processing platforms.
- Strong analytical thinking with the ability to formulate hypotheses, perform testing, and develop data-driven recommendations.
- Excellent data storytelling skills with the ability to communicate complex findings to both technical and non-technical audiences.
- Self-motivated, detail-oriented, and adaptable in a fast-paced environment with evolving priorities.
- Strong collaboration and stakeholder management skills across multiple functions and organizational levels.
Preferred Qualifications
- Knowledge of economics, econometrics, forecasting, predictive analytics, or time-series analysis.
- Experience working with digital analytics, customer journey analytics, or large-scale behavioral datasets.
- Familiarity with data visualization and business intelligence tools such as Tableau, Power BI, or similar platforms.
- Experience working with survey data, statistical methodologies, and research-based analysis.
- Knowledge of R or other scripting and analytical programming languages.
- Exposure to large-scale data ecosystems and modern cloud-based analytics environments.