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STAFFXPERT LLC

Hiring || Data Scientist || Ohio || Hybrid

STAFFXPERT LLC, Columbus, Ohio, United States, 43224

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Data Scientist: IV (Lead) Job ID: 7245

Location: Columbus, Ohio (Hybrid)

Duration: Contract to hire (C2H)

Responsibilities & Qualifications

Master’s degree and 5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, experience with big data analysis tools and techniques, and experience building and deploying predictive models, web scraping, and scalable data pipelines

Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling

Up-to-date knowledge of machine learning and data analytics tools and techniques

Strong knowledge in predictive modeling methodology

Experienced at leveraging both structured and unstructured data sources

Willingness and ability to learn new technologies on the job

Demonstrated ability to communicate complex results to technical and non-technical audiences

Strategic, intellectually curious thinker with focus on outcomes

Professional image with the ability to form relationships across functions

Ability to train more junior analysts regarding day-to-day activities, as necessary

Proven ability to lead cross‑functional teams

Strong experience with Cloud Machine Learning technologies (e.g., AWS SageMaker)

Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)

Demonstrated expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL)

Financial Services background preferred

Education

Master’s degree or PhD in computer science, statistics, economics or related fields

StaffXpert LLC

Contact: Rakesh Singh (Raka), Resource Manager, P: +1 (919) 944-7570, E: raka@staffxpertllc.com

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