Data Scientist - Sunnyvale, CA - W2 Contract

Rootshell Enterprise Technologies • Sunnyvale, CA

1d

About The Position

The Data Scientist applies data science, machine learning, and anomaly detection techniques to practical business problems. The role involves conducting quantitative analysis, identifying trends and anomalies, developing predictive models, testing hypotheses, and engineering innovative features and signals into analytical solutions. The Data Scientist leads projects through exploratory data analysis, data quality management, modeling, tool deployment, and presentation of results, and uses data-driven arguments to support process changes. The position requires communicating complex concepts clearly to non-technical audiences.

Requirements

• Bachelor of Arts or Bachelor of Science degree in statistical analysis, computer science, data science, or a related field.
• At least 7 years of experience deploying data science, machine learning, or anomaly detection techniques to solve practical business problems.
• Outstanding written and verbal communication skills, including the ability to explain complex data science concepts to non-technical audiences.
• Proficiency in SQL; Snowflake is preferred.
• Experience with anomaly and outlier detection methods and algorithms.
• Strong Python programming skills and experience with packages such as Pandas, NumPy, and scikit-learn.
• Experience in quantitative data analysis and the ability to conduct in-depth evaluations of complex issues.
• Applied knowledge of statistical data analysis, including trend and anomaly identification, predictive modeling, and hypothesis testing.
• Proven ability to make convincing, data-driven arguments to drive process changes.
• Demonstrated experience leading data science projects through exploratory data analysis, data quality management, modeling, tool deployment, and presentation of results.

Nice To Haves

• Experience with Docker, Kubernetes, and Airflow.
• Experience with front-end libraries such as React or Streamlit.
• Experience with large language models (LLMs) and graph databases.
• Demonstrated ability to implement, improve, debug, and maintain machine learning models.
• High proficiency in Tableau.

Responsibilities

• Apply data science, machine learning, and anomaly detection techniques to solve practical business problems.
• Conduct in-depth quantitative data analysis of complex issues.
• Perform trend and anomaly identification, predictive modeling, and hypothesis testing.
• Engineer innovative features and signals into analytical solutions.
• Lead data science projects through exploratory data analysis, data quality management, modeling, tool deployment, and presentation of results.
• Use data-driven arguments to drive process changes.
• Communicate complex data science concepts to non-technical audiences.
• Implement, improve, debug, and maintain machine learning models.

What This Job Offers

• Career Level: Senior