Hybrid Data Scientist – AI & Predictive Analytics Lead

Tech Mirrors; San Jose (CA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Tech Mirrors is seeking a Data Scientist in San Jose, CA, offering hybrid work (3 days in the office per week). The role focuses on data cleaning, statistical analysis, and building predictive models using PySpark and Python.

You will work with big data stacks like Spark, Hadoop, and Snowflake, delivering data-driven insights to stakeholders. The ideal candidate should have strong programming skills, experience with ML techniques, data visualization, and familiarity with clients' standards and

Qualifications

• Strong programming skills in Python and PySpark for data processing and modeling.
• Experience building scalable data pipelines and ML models.

Responsibilities

• Utilize standard libraries and frameworks for data manipulation, analysis, and modeling.
• Conduct statistical analysis to extract insights and identify patterns in large datasets.
• Design and implement statistical models for predictive analytics and forecasting.
• Develop and implement machine learning algorithms for predictive modeling and analysis.
• Create data visualizations to communicate findings to stakeholders using Tableau or Matplotlib.

Skills

PySpark

Python

Tools

Apache Spark

Hadoop

Hive

Snowflake

Azure Databricks

Tableau

Matplotlib

Pandas

NumPy

Scikit-learn

TensorFlow

Job description

Tech Mirrors is seeking a Data Scientist in San Jose, CA, offering hybrid work (3 days in the office per week). The role focuses on data cleaning, statistical analysis, and building predictive models using PySpark and Python.

You will work with big data stacks like Spark, Hadoop, and Snowflake, delivering data-driven insights to stakeholders. The ideal candidate should have strong programming skills, experience with ML techniques, data visualization, and familiarity with clients' standards and