Note: The job is a remote job and is open to candidates in USA. Precision Technologies is seeking a highly experienced Senior Data Scientist to develop and deploy scalable predictive and prescriptive analytics solutions. The role involves building end-to-end data science pipelines, applying machine learning and statistical methods, leveraging big data and cloud technologies, implementing MLOps practices, and providing technical leadership to stakeholders and junior data scientists.
Responsibilities
- Design, develop, and deploy machine learning and deep learning models for predictive analytics, classification, regression, clustering, recommendation systems, and forecasting
- Build end-to-end data science pipelines including data ingestion, feature engineering, model training, validation, and production deployment
- Develop advanced analytics solutions using Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM)
- Perform exploratory data analysis (EDA) and statistical hypothesis testing using statistical techniques and probability modeling
- Work extensively with SQL and RDBMS platforms to extract, transform, and analyze large datasets
- Process and analyze large-scale datasets using big data technologies such as Spark, PySpark, or Hadoop ecosystems
- Develop Natural Language Processing (NLP) models for text analytics, sentiment analysis, and language modeling where applicable
- Implement model validation techniques , cross-validation, A/B testing, and performance evaluation metrics (ROC-AUC, precision-recall, RMSE, etc.)
- Deploy machine learning models into production using MLOps frameworks , CI/CD pipelines, Docker containers, and Kubernetes
- Leverage cloud platforms (Azure, AWS, or GCP) for scalable model training, deployment, and monitoring
- Develop and maintain automated model monitoring and drift detection frameworks
- Create interactive dashboards and visualizations using Power BI, Tableau, or Matplotlib/Seaborn/Plotly to communicate insights to stakeholders
- Collaborate with data engineers to optimize data pipelines and feature stores
- Translate complex analytical results into actionable business insights for executive and non-technical stakeholders
- Provide technical leadership, mentor junior data scientists, and contribute to enterprise AI strategy initiatives
Skills
- 10+ Years
- Advanced proficiency in Python for data science and machine learning development
- Strong expertise in Machine Learning algorithms , supervised and unsupervised learning techniques
- Experience with Deep Learning frameworks such as TensorFlow or PyTorch
- Strong foundation in Statistics, Probability, Linear Algebra, and Predictive Modeling
- Advanced SQL skills and experience working with enterprise RDBMS systems
- Experience with Big Data platforms such as Spark or distributed computing frameworks
- Hands-on experience deploying models using Docker, Kubernetes, and MLOps best practices
- Experience working with cloud-based data science platforms (Azure ML, AWS SageMaker, or GCP AI Platform)
- Strong experience in data visualization and storytelling using BI tools
- Experience working in Agile/Scrum environments and cross-functional teams
Benefits
- Remote work arrangement
- Full-time employment (W2 only, No C2C)
Company Overview
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