Sr Data Scientist With AI/ML- Full time role / Remote

• Data Collection & Cleaning
• Gather structured/unstructured data from databases, APIs, or external sources, then clean and preprocess it for analysis.
• Exploratory Data Analysis (EDA)
• Identify patterns, trends, and anomalies using statistical techniques and visualization tools.
• Model Development
• Build and train machine learning or AI models (e.g., regression, classification, clustering, deep learning).
• AI/ML Implementation
• Apply techniques from Machine Learning and Artificial Intelligence to solve business problems like prediction, recommendation, or automation.
• Feature Engineering
• Transform raw data into meaningful features that improve model performance.
• Model Evaluation & Optimization
• Test models using metrics (accuracy, precision, recall, etc.) and improve them.
• Deployment & Monitoring
• Work with engineers to deploy models into production and monitor performance over time.
• Communication
• Translate complex results into actionable insights for stakeholders using dashboards, reports, or presentations.

Technical Skills

Programming: Python, R, SQL

Libraries/Frameworks: TensorFlow, PyTorch, Scikit-learn

Data Visualization: Matplotlib, Seaborn, Power BI, Tableau

Big Data Tools: Spark, Hadoop

Knowledge of Statistics and Linear Algebra

AI-Specific Skills

Deep learning, NLP, computer vision

Understanding of neural networks and optimization techniques

Familiarity with model deployment (MLOps basics)

Education & Background

Bachelor s Or Master s In Fields Like

Computer Science

Data Science

Mathematics / Statistics

Engineering

Certifications or hands-on projects in AI/ML are highly valued.