Job Title: Data Scientist
Experience: 5+ Years
Job Type: Full-Time / Contract
Location: Open to All Locations Across the USA
Work Model: Onsite / Hybrid / Remote (Based on Client Requirements)
We are seeking an experienced Data Scientist to analyze complex datasets, develop predictive models, and deliver data-driven insights that support business decisions. The ideal candidate will have strong expertise in Python, SQL, machine learning, statistical modeling, and data visualization. The candidate should be capable of building, evaluating, and deploying machine learning models while collaborating with cross-functional teams to solve real-world business problems.
Collect, clean, process, and analyze large structured and unstructured datasets.
Develop and implement machine learning algorithms and predictive models.
Apply statistical analysis, hypothesis testing, and experimental design to identify business trends and patterns.
Build classification, regression, clustering, forecasting, and recommendation models.
Perform feature engineering, model selection, validation, and performance optimization.
Use Python and SQL for data analysis, model development, and data manipulation.
Develop data visualizations, dashboards, and reports to communicate actionable insights.
Collaborate with data engineers, software developers, business analysts, and stakeholders.
Deploy and monitor machine learning models in production environments.
Ensure data quality, model reliability, scalability, and reproducibility.
Document methodologies, model results, assumptions, and recommendations.
Stay updated with emerging technologies and best practices in data science, AI, and machine learning.
5+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
Strong programming skills in Python and SQL.
Experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
Strong knowledge of statistics, probability, linear algebra, and mathematical modeling.
Hands-on experience developing and evaluating machine learning models.
Experience with data preprocessing, feature engineering, and exploratory data analysis (EDA).
Knowledge of supervised and unsupervised learning techniques.
Experience with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
Strong analytical thinking, problem-solving, and communication skills.
Experience with big data technologies such as Spark or Databricks.
Knowledge of deep learning, natural language processing (NLP), or Generative AI.
Experience with MLOps, model deployment, model monitoring, and CI/CD pipelines.
Familiarity with cloud-based machine learning services.
Experience working with large-scale datasets and enterprise data platforms.
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Data Analysis and Statistical Modeling
Machine Learning and Predictive Analytics
Python and SQL Programming
Feature Engineering and Model Optimization
Data Visualization and Business Insights
Model Deployment and Monitoring
Communication and Cross-Functional Collaboration
Interested candidates should share the following information:
Updated Resume
Total IT Experience
Relevant Data Science Experience
Python and Machine Learning Experience
Current Location
Work Authorization Status
Relocation Availability
Expected Hourly Rate / Salary
Interview Availability
