What are the responsibilities and job description for the Data Scientist position at Educated Solutions Corp?
Our Client, a leader in commercial real estate and facilities/asset management is seeking to add a Data Scientist to its team. This role will work hybrid in Richardson, TX and works Monday-Friday 8am-5pm. This is a contract role ending 10/31/2025 that pays $52.80 per hour. The key to this role is prior experience with LLM and generative AI.
Job Responsibilities:
- Develops and deploys data-driven solutions by leveraging machine learning models and optimizing data pipelines.
- Conducts statistical analyses and builds predictive models using Python, R, SQL, and LangChain.
- Works on project-based initiatives (70%) while handling ad hoc tasks (30%).
- Applies expertise in Generative AI and LLMs to enhance AI-driven applications.
- Collaborates with cross-functional teams to integrate models into production environments.
- Cleans, manipulates, and analyzes large datasets efficiently.
- Demonstrates proficiency in supervised and unsupervised learning techniques, including regression, classification, forecasting, NLP, and decision algorithms.
- Engages in technical discussions during interviews to showcase hands-on experience.
Required Skills:
- Must have anywhere between 2-3 years of impactful experience in creating Data-driven products and productionizing ML models, while being mindful of Data pipelines. Recent graduates can also be considered provided them demonstrate a strong understanding of Learning Algorithms and Models
- Proficiency with Python, R, SQL
- Generative AI experience
- LLM experience
- Bachelor's degree (BA/BS) in disciplines such as Mathematics (Pure/ Applied), Statistics, Computer Science/ Engineering, Information Systems or any other Scientific discipline – along with relevant experience. Or a Masters/ PhD with lesser, but applicable, experience is ideal
- Dependable hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data optimally
- Must have an intuitive understanding of algorithms underpinning various statistical and machine learning models from regression, classification, clustering to optimization and decision theory
- Demonstrable experience in Supervised and Unsupervised learning – from Regression, Forecasting, Classification, to NLP, Decision and Search Algorithms
Preferred Skills:
- Experience with Azure
- Experience with agentic frameworks like LangChain and Semantic Kernel will be a great plus
Salary : $53
