What are the responsibilities and job description for the Data Scientist position at Danta Technologies?
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.
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.
Salary : $45 - $60