What are the responsibilities and job description for the Sr. Data Scientist position at Lorven Technologies, Inc.?
Hi ,
Our client is looking for an Sr. Data Scientist for a project and below is the detailed requirement.
Job Title: Sr. Data Scientist
Location: Boston, MA - Hyrbid
Qualifications & Experience:
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, or a related field with an overall of 12 years of IT experience.
- Strong hands-on experience in Python and R for data analysis, statistical modeling, and machine learning solution development.
- Extensive experience designing, building, and deploying Machine Learning (ML) models for predictive and prescriptive analytics.
- Strong experience working with Azure Cloud, including Azure Machine Learning, Azure Databricks, Azure Storage, Azure Data Factory, Azure Synapse Analytics, and related Azure services.
- Hands-on experience with Azure Databricks for large-scale data processing, feature engineering, model training, and distributed computing using Spark/PySpark.
- Strong understanding of statistical techniques including regression, classification, clustering, forecasting, hypothesis testing, and model evaluation.
- Experience developing scalable and reusable data science solutions that can be integrated into enterprise applications.
- Strong proficiency in SQL for data extraction, transformation, querying, and performance optimization.
- Experience working with structured and unstructured datasets from multiple enterprise data sources.
- Familiarity with MLOps concepts including model deployment, versioning, monitoring, and lifecycle management.
- Experience with data visualization tools such as Power BI, Tableau, Matplotlib, or Plotly to communicate analytical insights.
- Experience using Git for source code management and collaborative development.
- Strong understanding of software engineering best practices, object-oriented programming, and data science lifecycle methodologies.
- Experience working in Agile/SCRUM environments with cross-functional teams including Data Engineers, Software Engineers, Product Owners, and Business Stakeholders.
- Excellent analytical, problem-solving, communication, and stakeholder management skills.
Key Responsibilities:
- Design, develop, and deploy scalable Machine Learning and statistical models to solve complex business problems.
- Build reusable and production-ready data science solutions using Python, R, Azure Databricks, and Azure Machine Learning.
- Perform exploratory data analysis (EDA), feature engineering, model selection, training, validation, and optimization.
- Collaborate with Data Engineers to build scalable data pipelines and prepare datasets for machine learning applications.
- Analyze large-scale structured and unstructured datasets to generate actionable business insights and recommendations.
- Develop predictive, classification, clustering, recommendation, and forecasting models based on business requirements.
- Deploy, monitor, and maintain machine learning models in Azure cloud environments while ensuring model performance and reliability.