Job Description
We're seeking a visionary Senior Data Scientist to transform raw data into strategic business intelligence at our innovation hub in San Francisco. Join a dynamic team where your expertise in machine learning and statistical modeling will directly impact product development and customer experience. Collaborate with cross-functional teams to architect data pipelines, design experiments, and deliver actionable insights that drive measurable growth. If you're passionate about solving complex problems with cutting-edge technology and thrive in a fast-paced environment, this is your opportunity to shape the future of data-driven decision-making.
Responsibilities
- Develop and deploy machine learning models to optimize business processes and predict customer behavior
- Lead end-to-end data science projects from hypothesis formulation to production implementation
- Design and execute A/B tests to validate model performance and business impact
- Create compelling data visualizations and executive dashboards using tools like Tableau and Power BI
- Mentor junior data scientists and establish best practices for model validation
- Collaborate with engineering teams to integrate models into scalable production systems
- Stay current with emerging AI/ML techniques and industry trends
Qualifications
- Master's degree in Data Science, Computer Science, Statistics, or related field; PhD preferred
- 5+ years of experience in applied data science or analytics roles
- Expert proficiency in Python (Scikit-learn, TensorFlow) and R programming languages
- Strong foundation in statistical analysis, experimental design, and causal inference
- Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS/GCP)
- Proven track record of delivering production-level ML solutions
- Exceptional communication skills with ability to translate technical concepts for stakeholders
- Portfolio demonstrating complex data science projects with measurable outcomes