What are the responsibilities and job description for the Data Scientist position at Entech?
Entech is hiring an Data Scientist for a Manufacturing client. This is a hybrid role that involves working onsite in Wilmington, Delaware - 3 days per week.
(Position is open to Contract-to-hire (C2H))
Qualifications
The Data Scientist will collaborate with clients within the company engaged in a variety of research; development, manufacturing, and business activities.
- New product development
- Continuous improvement in manufacturing
- Sales growth and forecasting
- Supply chain optimization
- Text analytics for competitive analysis
- Product testing in field applications
Requirement
- Education: Ph.D degree- Chemical Engineering, Chemistry, or Materials Engineering OR Master's Degree (Chemical, Chemistry or material engineering 3 year of experience)
- Strong coding skills in R or Python including data preparation, regression, and plotting
- Formal education in statistics, including regression and hypothesis testing
- Expertise in machine learning and deep learning techniques in clustering, classification and neural network with emphasis on supervised learning, e.g. random forest, xgboost, lasso, cross- validation, hyperparameter tuning, neural networks
- Develop algorithms and applications for R&D with machine learning and data science tools including data wrangling, clustering, outlier removal, predictive modeling, optimization, and time series modeling.
- Own data science application development from conceptualization and proof of concept up to the product.
- Basic competency with SQL database queries and visualization prototyping
- Research experience in applying statistics and data science to solve business, engineering, or scientific problems
- Self-learning with the intellectual curiosity to keep abreast of advances in the field, grow data science expertise, and refine grasp of internal business operations over time
- Effective interpersonal skills for communicating technical concepts to a layperson, collaborating with team members, and confidence presenting data analysis results to internal clients
Good to have skills (Not required, but an extra plus if you have the experience)
- NLP, GenAI, Azure OpenAI
- Knowledge of GenAI systems including Agentic and RAG approaches utilizing additional technology such as knowledge graphs and advanced retrieval techniques.
*We are looking for candidates willing to work directly on our W2.
No Corp-to-Corp.
