Job Title: Senior Data Scientist Engineer
Location: Remote (USA)
Employment Type: Full-time (W2 only, No C2C)
Job Summary:
We are seeking a highly skilled Senior Data Scientist Engineer with 9+ years of experience in data science, machine learning, and big data engineering. The ideal candidate will have deep expertise in building scalable data pipelines, applying advanced analytics, and developing AI/ML models to drive business insights and solutions.
Key Responsibilities:
- Design, develop, and deploy end-to-end data science and machine learning solutions for enterprise-scale applications.
- Build and optimize data pipelines to extract, transform, and load data from multiple structured and unstructured sources.
- Collaborate with stakeholders to identify business problems and translate them into data science solutions.
- Develop predictive and prescriptive models using statistical, machine learning, and deep learning techniques.
- Work with large datasets using Python, R, SQL, PySpark, and cloud platforms (AWS, Azure, or GCP).
- Implement MLOps practices to automate and monitor model deployment in production.
- Communicate insights effectively through data visualization tools (Power BI, Tableau, matplotlib, seaborn, etc.).
- Ensure data quality, governance, and compliance with security and privacy standards.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- 9+ years of hands-on experience in Data Science, Machine Learning, and Data Engineering.
- Strong programming skills in Python, R, and SQL.
- Proven experience with big data tools (Spark, Hadoop, Databricks, Snowflake, etc.).
- Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
- Strong knowledge of statistical modeling, predictive analytics, and deep learning techniques.
- Experience with cloud platforms (AWS Sagemaker, Azure ML, GCP AI/ML services).
- Familiarity with CI/CD pipelines, MLOps, and version control (Git, Jenkins, Docker, Kubernetes).
- Excellent communication and problem-solving skills.
Preferred Qualifications:
- Experience in NLP, Computer Vision, or Time Series Forecasting.
- Exposure to BI tools and dashboard development.
- Previous experience working in Agile/Scrum environments.
Employment Details:
- Job Type: Full-time, W2 only (No C2C, No third-party candidates).
- Location: Remote (Candidates must be authorized to work in the USA).
- Experience Required: Minimum 9 years.