What are the responsibilities and job description for the Data Scientist position at RecruitTalent, LLC.?
General Responsibilities
- Design and implement data pipelines, analytics models, and machine-learning solutions to support process automation and predictive decision-making.
- Collect, clean, and validate structured and unstructured data from multiple enterprise systems, ensuring data quality and integrity.
- Perform statistical analysis, forecasting, and pattern recognition to identify process improvement opportunities.
- Develop interactive dashboards and visualizations using tools like Power BI or Tableau for real-time performance tracking.
- Collaborate with Solution Architects and Business Analysts to integrate data insights into workflow automation and digital solutions.
- Support the creation and enforcement of data governance, metadata, and access-control frameworks in coordination with cybersecurity policies.
- Evaluate and deploy AI/ML models (e.g., classification, regression, clustering, NLP) within automation and decision-support platforms.
- Implement ETL processes and maintain scalable data storage on cloud platforms such as AWS, Azure, or GCP.
- Provide technical documentation, data dictionaries, and model explainability reports for audit and compliance purposes.
- Support training and knowledge transfer, enabling end users to interpret and leverage analytical insights.
- Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or related discipline.
- Experience:
- 5–8 years of experience in data analytics, machine learning, or AI model deployment.
- Proven success designing analytical solutions for IT modernization, automation, or enterprise transformation projects.
- Experience working with large, complex datasets and applying data-driven methods to improve business or operational performance.
- Programming & Analysis: Python, R, SQL, Power Query, or PySpark.
- Machine Learning & AI: scikit-learn, TensorFlow, Keras, or PyTorch.
- Data Visualization: Power BI, Tableau, Matplotlib, or Plotly.
- Data Engineering: ETL tools, APIs, REST services, and cloud data storage (AWS S3, Azure Data Lake, GCP BigQuery).
- Statistics & Modeling: Regression, time-series forecasting, clustering, and anomaly detection.
- Governance & Security: Familiarity with NIST data-handling standards, FedRAMP compliance, and secure data pipelines.
- Microsoft Certified: Data Scientist Associate or Azure AI Engineer
- Google Professional Data Engineer or AWS Certified Data Analytics – Specialty
- Certified Analytics Professional (CAP) – INFORMS
- Lean Six Sigma Green Belt (for data-driven process improvement)
- Power BI Data Analyst Associate
Salary : $60 - $70