Job Specifications
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.
About the Company
Raas Infotek is a full spectrum global Information Technology services company, providing end-to-end business solutions to our global clientele - collaborating with them to design, develop and implement solutions to add value to their business.
For close to Five years now, we have consistently contributed to the business growth of our customers which is why, we consider engagements with our customers as an enduring relationship and work towards adding value to our customer's business growth. Some of our customers have been ...
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