Data Scientist- Full Time

Maveric Systems Limited; Irving (TX); On-site; USD 80,000 - 110,000; Full time

Job summary

A data solutions provider in Texas is seeking a skilled Data Scientist to analyze and preprocess data, develop models, and communicate insights. The role requires strong proficiency in Python or R, experience with SQL and data visualization tools, and a good understanding of machine learning and statistics. This position is crucial for solving business problems through data-driven solutions in collaboration with various teams.

Qualifications

• Strong proficiency in Python or R.
• Experience with SQL and relational databases.
• Knowledge of machine learning algorithms.
• Strong understanding of statistics and probability.

Responsibilities

• Collect, clean, and preprocess structured and unstructured data.
• Analyze large datasets to identify trends and patterns.
• Develop predictive models using machine learning.
• Document methodologies and findings for stakeholders.

Skills

Python or R

SQL

machine learning algorithms

statistics and probability

data visualization tools

analytical thinking

Job description

Responsibilities

• Collect, clean, and preprocess structured and unstructured data from multiple sources
• Analyze large datasets to identify trends, patterns, and correlations
• Develop predictive and statistical models using machine learning techniques
• Build and deploy data-driven solutions to solve business problems
• Create data visualizations and dashboards to communicate insights clearly
• Collaborate with cross‑functional teams including business, IT, and product teams
• Validate models and ensure accuracy, reliability, and scalability
• Document methodologies, models, and findings for stakeholders
• Stay updated with emerging data science tools, technologies, and best practices.

Required Skills

• Strong proficiency in Python or R
• Experience with SQL and relational databases
• Knowledge of machine learning algorithms (e.g., regression, classification, clustering)
• Strong understanding of statistics and probability
• Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn, etc.)
• Ability to interpret complex data and present insights clearly
• Strong problem‑solving and analytical thinking skills