Senior Data Scientist — Consumer Growth & Experimentation

SANS Consulting Services, Inc.; California (MO); On-site; USD 120,000 - 160,000; Full time

Job summary

SANS Consulting Services, Inc. is seeking a Senior Data Scientist to design and implement cutting-edge data science solutions for consumer products.

You will collaborate with product managers and engineers to drive impact, build data assets, and create dashboards that reveal actionable insights across Feeds, Search, Growth, and Content ecosystems. You will apply ML models and advanced analytics to inform product direction, contrast experiments, and improve anomaly detection and prediction in

Qualifications

• BS/MS/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, ML algorithms, causal inference and experimental design.

Responsibilities

• Design, develop, and apply DS solutions to inform improvements across consumer product teams (Feeds, Search, Growth, Content).
• Create data assets (tables, dashboards) for partners to answer data questions.
• Develop reporting dashboards to show topline metrics and deep dives.
• Analyze large-scale datasets to identify trends and insights.
• Collaborate with product managers and engineers to translate requirements into data solutions.
• Uncover strategic insights and share with stakeholders to shape product directions.
• Develop ML models and methods to improve anomaly detection, prediction, and pattern recognition.

Skills

Python

SQL

Data analysis

Machine learning

Spark

Hadoop

BigQuery

scikit-learn

TensorFlow

PyTorch

Education

BS/MS/PhD in CS/Statistics/Math

Tools

Spark

Hadoop

Hive

BigQuery

scikit-learn

TensorFlow

PyTorch

Job description

SANS Consulting Services, Inc. is seeking a Senior Data Scientist to design and implement cutting-edge data science solutions for consumer products.

You will collaborate with product managers and engineers to drive impact, build data assets, and create dashboards that reveal actionable insights across Feeds, Search, Growth, and Content ecosystems. You will apply ML models and advanced analytics to inform product direction, contrast experiments, and improve anomaly detection and prediction in