Data Scientist
MYBRIDGE
Washington, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
$ 130KJob location
Washington, United States of America
Tech stack
Amazon Web Services (AWS)
Data analysis
Azure
Big Data
Databases
Data Governance
Data Security
Data Visualization
Hadoop
Python
Machine Learning
Power BI
TensorFlow
SQL Databases
Tableau
Unstructured Data
Google Cloud Platform
PyTorch
Spark
Matplotlib
Scikit Learn
Information Technology
Machine Learning Operations
Job description
We are seeking a skilled and analytical Data Scientist to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets to drive data-driven decision-making and improve business outcomes. Key Responsibilities
- Collect, clean, and analyze structured and unstructured data
- Develop predictive models, machine learning algorithms, and statistical analyses
- Identify trends, patterns, and insights from complex datasets
- Collaborate with business stakeholders to understand data requirements
- Create data visualizations and dashboards to present insights clearly
- Optimize data processes and improve data quality
- Work closely with data engineers and analysts to deploy models
- Stay updated with the latest data science tools and techniques
Requirements
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- Strong knowledge of Python or R for data analysis
- Experience with SQL and database management systems
- Familiarity with machine learning frameworks (Scikit-learn, TensorFlow, PyTorch)
- Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn)
- Strong problem-solving and analytical skills
- Excellent communication and teamwork abilities
Preferred Qualifications
- Experience with big data technologies (Hadoop, Spark)
- Knowledge of cloud platforms (AWS, Azure, GCP)
- Understanding of data governance and data security
Benefits & conditions
- Competitive salary and performance-based incentives
- Opportunities for learning and career growth
- Flexible work environment
- Collaborative and innovative team culture