Note: The job is a remote job and is open to candidates in USA. Astir IT Solutions, Inc. is recruiting for an unnamed client seeking a Senior Data Scientist. The role supports a data and analytics organization by analyzing complex datasets, developing and deploying models, generating actionable insights, and contributing to reliable data pipelines and solutions.
Responsibilities
- Analyze large and complex datasets to identify trends, patterns, relationships, and actionable business insights
- Apply statistical methods and data science techniques to solve business and technical problems
- Develop, validate, and deploy predictive, statistical, and machine learning models
- Perform exploratory data analysis, feature engineering, data transformation, and data validation
- Partner with data engineers and other technical teams to develop and maintain data pipelines and datasets required for analytics and modeling
- Work with structured and unstructured data from multiple sources
- Support data ingestion, cleansing, transformation, and integration activities
- Translate business requirements and analytical questions into data-driven solutions
- Collaborate with the broader data science, engineering, product, and business teams
- Communicate analytical findings, model results, and recommendations clearly to both technical and non-technical stakeholders
- Monitor model performance and data quality and continuously improve analytical solutions
- Contribute to data science best practices, reusable frameworks, documentation, and technical standards
Skills
- • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering , or a related field
- • 15+ years of professional experience in Data Science, Statistical Modeling, Machine Learning, or related analytical roles
- • Strong hands-on experience in statistics, statistical modeling, and data science
- • Strong proficiency in Python and/or R for data analysis, modeling, and machine learning
- • Strong SQL skills and experience working with relational databases
- • Hands-on experience with data preparation, transformation, feature engineering, and data validation
- • Working knowledge of data engineering concepts , including ETL/ELT, data pipelines, data integration, and data quality
- • Experience working with large and complex datasets from multiple data sources
- • Strong analytical and problem-solving skills
- • Ability to independently translate analytical/business requirements into data-driven solutions
- • Strong communication and presentation skills, with the ability to work effectively with technical and non-technical stakeholders
- • Ability to work effectively with distributed/nearshore teams
- • Experience with cloud data platforms such as AWS, Azure, or Google Cloud
- • Experience with data engineering tools and frameworks such as Spark, Databricks, Airflow , or similar technologies
- • Experience working with modern data warehouses/lakehouses
- • Familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- • Experience with data visualization tools such as Tableau, Power BI, or similar platforms
- • Knowledge of experimentation, A/B testing, forecasting, optimization, or time-series analysis
- • Experience working in an Agile or cross-functional environment
Benefits
- Remote (PST Support)
Company Overview
Company H1B Sponsorship