Experience Inc. Jobs

data scientist.

• charlotte , north carolina

• posted october 9, 2024

job details

summary

• $48 - $55 per hour

• contract

• no requirements

• category computer and mathematical occupations

• reference1068623

job details

job summary:

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

Qualifications:

• 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

• Proficiency in Python and SQL is a must

• Experience with DataBricks is a plus

• strong understanding of machine learning algorithms and techniques

• Handson 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

• 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 crossfunctional teams

location: Charlotte, North Carolina

job type: Contract

salary: $48 - 55 per hour

work hours: 8am to 4pm

education: No Degree Required

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 crossfunctional teams to understand business requirements and translate them into technical solutions

• Optimise and finetune machine learning models for performance and scalability

• Conduct data preprocessing feature engineering and model evaluation

• Stay up-to-date with the latest advancements in machine learning and AI technologies

qualifications:

• Experience level: Experienced

• Minimum 10 years of experience

• Education: No Degree Required

skills:

• SQLEqual Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).This posting is open for thirty (30) days.