What are the responsibilities and job description for the Sr Data Scientist with AI(Full time Only) / Remote position at Apetan Consulting LLC?
Position: Sr Data Scientist with AI (Full time Only)
Location: NJ Remote
Type Full Time
Job Description-
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.
Location: NJ Remote
Type Full Time
Job Description-
- 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.