Greetings from Smart IT Frame, Hope you are doing well!
Smart IT Frame specializes in enabling you with your most critical line of resources. Whether it is for permanent staffing, contract staffing, contract-to-hire or executive search, we understand the importance of delivering the most suitable talent; on time and within budget. With our Core focus in emerging technologies, we have provided global technology workforce solutions in North America, Canada & India. We take pride in delivering specialized talent, superior performance, and seamless execution to meet the challenging business needs of customers worldwide.
Title: Data Scientist
Location: Charlotte, NC (Hybrid)
Duration: Contract
Must Have skill:
10+ years of experience in data science – specific areas are regression (XGBoost, neural networks) and unsupervised machine learning (PCA, k-means, SVMs, etc.)
Typical languages (Python, SQL – must). DataBricks nice to have
Job Description
We are looking for a talented Data Scientist to join our team The ideal candidate will have expertise in both regression techniques and unsupervised machine learning methods You will be responsible for developing and implementing machine learning models to solve complex problems and enhance our data driven decision making processes
Key Responsibilities
Develop and implement regression models using XGBoost and neural networks
Apply unsupervised machine learning techniques such as PCA kmeans and SVMs to analyse and interpret data
Collaborate with cross functional teams to understand business requirements and translate them into technical solutions
Optimise and finetune machine learning models for performance and scalability
Conduct data pre-processing feature engineering and model evaluation
Stay UpToDate with the latest advancements in machine learning and AI technologies
Qualifications
Proficiency in Python and SQL is a must
Experience with DataBricks is a plus
Strong understanding of machine learning algorithms and techniques
Hands on experience with XGBoost neural networks PCA kmeans and SVMs
Excellent problemsolving skills and attention to detail
Ability to work independently and as part of a team
Strong communication skills to effectively convey technical concepts to nontechnical stakeholders
Required Experience
Minimum of 8 to 10 years of experience in data science or a related field
Proven track record of developing and deploying machine learning models in a production environment
Experience working with large datasets and distributed computing frameworks
Familiarity with data visualisation tools and techniques
Experience in a collaborative team environment working with cross functional teams
