Note: The job is a remote job and is open to candidates in USA. SANS Consulting Services, Inc. is seeking a Senior Data Scientist to join a Consumer Data Science team focused on using data, experimentation, and machine learning to drive product growth. The role develops data science solutions, creates data assets and reporting dashboards, analyzes large-scale datasets, and delivers strategic insights in collaboration with product managers, engineers, and other data scientists.
Responsibilities
- Design, develop, and apply Data Science solutions to inform improvements in across our main Consumer product teams, including Feeds, Search, Growth and Content Ecosystem
- Creating data assets (new tables, self-serve dashboards, etc.) to enable partners to answer their own data questions
- Creating reporting dashboards for product and engineering partners to understand topline metrics movements and deep dive into specific areas of interest
- Analyze large-scale datasets to identify trends, patterns, and insights
- Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
- Uncovering strategic insights and sharing them with stakeholders to shape future product directions
- Develop Machine Learning models & Data Science methods to improve anomaly detection, prediction, & pattern recognition
- Communicate findings and recommendations to stakeholders across the organization
Skills
- • BS, MS or PhD in Computer Science, Statistics, Mathematics, or a related field
- • 5+ years of experience in data science, machine learning, or a related field
- • Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
- • Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive ; knowledge of BigQuery a plus
- • Experience with SQL and relational databases
- • Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
- • Experience working in the Consumer technology space
- • Experience with causal inference and A/B testing
Benefits
- FULLY REMOTE
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