Data Scientist

What the role needs

• We have an immediate opening for a Data Scientist / Deep Learning Engineer. Please find the job description below. If you are interested, kindly share your updated resume to sri@dantatechnologies.net
• Position: Data Scientist / Deep Learning Engineer
• Location: Basking Ridge, NJ (Hybrid/Onsite)
• Duration: Long Term
• Pay Rate: $50/hr on W2 all-inclusive Danta Technologies payroll
• Build end-to-end data science pipelines, including data preparation, model development, deployment, and monitoring.
• Develop data models, along with deep learning and transformer-based models.
• Write and maintain production-quality Python and SQL for day-to-day queries and data analysis.
• Process large datasets with PySpark and build deep learning solutions using PyTorch.
• Use GCP and BigQuery to develop and deploy cloud-based data and ML solutions.
• Collaborate with engineering and business teams to turn requirements into reliable models and actionable insights.
• Key Technologies

From the employer

Hi, We have an immediate opening for a Data Scientist / Deep Learning Engineer. Please find the job description below. If you are interested, kindly share your updated resume to sri@dantatechnologies.net Position: Data Scientist / Deep Learning Engineer Location: Basking Ridge, NJ (Hybrid/Onsite) Duration: Long Term Pay Rate: $50/hr on W2 all-inclusive Danta Technologies payroll Important Keywords: Traditional Data Scientist with Deep learning model, Development models & Deployment, end-to-end pipeline, Churn modeling, Propensity modelling, transformers. Candidate should be strong on SQL & Python, PyTorch, PySpark (Production coding), Python, SQL (Strong) day-to-day Queries, GCP, BigQuery, Cloud Technologies We're looking for a Traditional Data Scientist to build and deploy machine learning and deep learning solutions that support business goals. The role spans the full model lifecycle, from data exploration and feature engineering through development, deployment, and monitoring. Responsibilities Build end-to-end data science pipelines, including data preparation, model development, deployment, and monitoring. Develop data models, along with deep learning and transformer-based models. Write and maintain production-quality Python and SQL for day-to-day queries and data analysis. Process large datasets with PySpark and build deep learning solutions using PyTorch. Use GCP and BigQuery to develop and deploy cloud-based data and ML solutions. Collaborate with engineering and business teams to turn requirements into reliable models and actionable insights. Key Technologies Strong, hands-on Python and SQL skills. Experience developing and deploying machine learning and deep learning models in production. Experience with PyTorch, PySpark, and deep learning techniques. Knowledge of Data Modeling, Propensity Modeling, and Transformers. Experience with end-to-end ML pipelines and cloud technologies. Familiarity with GCP and BigQuery. Notes :- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits : Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law. The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.