Overview
On Site
BASED ON EXPERIENCE
Full Time
Contract - W2
Contract - Independent
Contract - 3+ mo(s)
Skills
PYTHON
R
R PROGRAMMING
R-PROGRAMMING
STATISTICS
ML
MACHINE LEARNING
AWS
AZURE
GCP
TABLEAU
POWER BI
MATPLOTLIB
SEABORN
Job Details
Data Scientist
Work Location: Bellevue, US (onsite)
5+ years of experience in data analysis, machine learning, or data science roles.
* Experience with end-to-end data projects and collaborating with cross-functional teams.
* Proficiency in Python, R, or similar programming languages.
* Strong knowledge of statistics, machine learning, and data modeling.
* Experience with SQL and database management.
* Familiarity with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
* Experience in cloud platforms (AWS, Azure, Google Cloud Platform) and big data tools is a plus.
* Strong analytical, problem-solving, and communication skills.
* Collect, clean, and preprocess data from multiple sources.
* Analyze data to identify trends, patterns, and correlations.
* Build and validate predictive and classification models using machine learning techniques.
* Create dashboards and visualizations to communicate findings effectively.
* Present insights to stakeholders to influence business decisions.
* Work with business teams, data engineers, and product managers to understand requirements.
* Translate business problems into technical solutions and analytical approaches.
* Collaborate with engineering teams to deploy models into production.
* Monitor model performance and retrain as necessary.
* Ensure data privacy, security, and compliance with regulatory requirements.
* Follow best practices for documentation and reproducibility of analyses.
Work Location: Bellevue, US (onsite)
Role and responsibilities:
5+ years of experience in data analysis, machine learning, or data science roles.
* Experience with end-to-end data projects and collaborating with cross-functional teams.
* Proficiency in Python, R, or similar programming languages.
* Strong knowledge of statistics, machine learning, and data modeling.
* Experience with SQL and database management.
* Familiarity with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
* Experience in cloud platforms (AWS, Azure, Google Cloud Platform) and big data tools is a plus.
* Strong analytical, problem-solving, and communication skills.
* Collect, clean, and preprocess data from multiple sources.
* Analyze data to identify trends, patterns, and correlations.
* Build and validate predictive and classification models using machine learning techniques.
* Create dashboards and visualizations to communicate findings effectively.
* Present insights to stakeholders to influence business decisions.
* Work with business teams, data engineers, and product managers to understand requirements.
* Translate business problems into technical solutions and analytical approaches.
* Collaborate with engineering teams to deploy models into production.
* Monitor model performance and retrain as necessary.
* Ensure data privacy, security, and compliance with regulatory requirements.
* Follow best practices for documentation and reproducibility of analyses.
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