Description Data Scientist (Big Data) III - ContractorEmployment Type: 27 Week Contract, Potential for Extension or Conversion
Location: MUST CURRENTLY RESIDE in Philadelphia Region
Employment Type: Contract / Temporary
Pay: Available on W2
Position OverviewThe Senior Data Scientist (Big Data) will support large-scale data science initiatives by designing, developing, and deploying advanced analytical and machine learning solutions. This role collaborates closely with data engineers, analysts, software developers, and business stakeholders to deliver scalable, production-ready data products that drive data-informed decision making.
The successful candidate will apply statistical modeling, machine learning, and big data technologies to solve complex business problems, while also providing technical guidance and mentorship across project teams.
Key Responsibilities- Lead complex, cross-functional data science initiatives delivering solutions across multiple technologies and platforms.
- Design, develop, and deploy data mining, statistical, machine learning, and graph-based algorithms for large-scale data sets.
- Partner with data engineering teams to ensure proper implementation, performance, and operational use of analytical solutions.
- Review and assess data science programs and models at an enterprise level to evaluate suitability, performance, and scalability.
- Build and maintain scalable big-data analytics solutions supporting accurate targeting, forecasting, and advanced insights.
- Develop and support end-to-end machine learning pipelines, including data preparation, training, testing, validation, and deployment.
- Establish performance metrics, monitoring, and evaluation procedures for models in production.
- Translate complex analytical findings into clear, actionable insights for technical and non-technical stakeholders.
- Provide mentorship and technical guidance to junior team members.
- Contribute to data strategy, methodology selection, and continuous improvement of analytics capabilities.
- Support testing, validation, and user acceptance activities to ensure alignment with business requirements.
- Perform additional related duties as needed to support analytics and data initiatives.
Requirements Required Skills & Experience- Strong hands-on experience with PySpark, Python, and R for data analysis and machine learning.
- Experience working in AWS cloud environments.
- Proficiency with Databricks for large-scale data processing and analytics.
- Experience building and supporting large-scale data pipelines and ETL workflows.
- Demonstrated experience applying statistical and modeling techniques, including:
- Hypothesis testing
- Supervised and unsupervised learning
- Forecasting and regression
- Dimensionality reduction and clustering
- Experience working with relational databases, SQL, and large datasets.
- Ability to gather, interpret, and translate business requirements into technical solutions.
- Strong communication skills with the ability to present complex concepts to diverse audiences.
Education & Background- Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field, or equivalent practical experience.
- Advanced degree preferred but not required.
- Typically 5+ years of relevant professional experience in data science, analytics, or related roles.
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