[Remote] Data Scientist
Note: The job is a remote job and is open to candidates in USA. Webologix Ltd/ INC is seeking a highly analytical and innovative Data Scientist to join their growing team in the USA. The role involves building predictive models, generating insights, and developing data-driven solutions that support strategic decision-making.
Responsibilities
ā¢ Collect, clean, process, and analyze large structured and unstructured datasets
ā¢ Develop and deploy machine learning and predictive analytics models
ā¢ Apply statistical techniques to identify patterns, trends, and business opportunities
ā¢ Design and conduct experiments to evaluate model performance and business impact
ā¢ Build forecasting, classification, clustering, and recommendation models
ā¢ Create dashboards, reports, and visualizations to communicate analytical findings
ā¢ Collaborate with technical and business teams to solve complex data challenges
ā¢ Monitor, optimize, and maintain machine learning models in production environments
ā¢ Research emerging technologies and contribute to innovation initiatives
Skills
ā¢ Minimum Qualification: Master's Degree (Required) in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Business Analytics, Data Analytics, Economics, Engineering, or a related quantitative field
ā¢ 0ā3 years of experience in Data Science, Machine Learning, Artificial Intelligence, Predictive Analytics, Business Analytics, or related domain
ā¢ Strong foundation in statistics, machine learning algorithms, and data analysis techniques
ā¢ Excellent analytical, problem-solving, and communication skills
ā¢ Ability to work with large datasets and generate actionable insights
ā¢ Python
ā¢ Machine Learning
ā¢ SQL
ā¢ Statistical Analysis
ā¢ Pandas & NumPy
ā¢ Scikit-learn
ā¢ Tableau / Power BI
ā¢ Deep Learning Fundamentals
ā¢ AWS / Azure / Google Cloud
ā¢ Predictive Modeling & Data Mining
Company Overview
ā¢ Webologix Ltd is a recruitment organization, with offices in USA, UK, Malaysia and India. It was founded in 2009, and is headquartered in South Richmond Hill, New York, USA, with a workforce of 201-500 employees. Its website is https://webologics.com/.
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Responsibilities
ā¢ Collect, clean, process, and analyze large structured and unstructured datasets
ā¢ Develop and deploy machine learning and predictive analytics models
ā¢ Apply statistical techniques to identify patterns, trends, and business opportunities
ā¢ Design and conduct experiments to evaluate model performance and business impact
ā¢ Build forecasting, classification, clustering, and recommendation models
ā¢ Create dashboards, reports, and visualizations to communicate analytical findings
ā¢ Collaborate with technical and business teams to solve complex data challenges
ā¢ Monitor, optimize, and maintain machine learning models in production environments
ā¢ Research emerging technologies and contribute to innovation initiatives
Skills
ā¢ Minimum Qualification: Master's Degree (Required) in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Business Analytics, Data Analytics, Economics, Engineering, or a related quantitative field
ā¢ 0ā3 years of experience in Data Science, Machine Learning, Artificial Intelligence, Predictive Analytics, Business Analytics, or related domain
ā¢ Strong foundation in statistics, machine learning algorithms, and data analysis techniques
ā¢ Excellent analytical, problem-solving, and communication skills
ā¢ Ability to work with large datasets and generate actionable insights
ā¢ Python
ā¢ Machine Learning
ā¢ SQL
ā¢ Statistical Analysis
ā¢ Pandas & NumPy
ā¢ Scikit-learn
ā¢ Tableau / Power BI
ā¢ Deep Learning Fundamentals
ā¢ AWS / Azure / Google Cloud
ā¢ Predictive Modeling & Data Mining
Company Overview
ā¢ Webologix Ltd is a recruitment organization, with offices in USA, UK, Malaysia and India. It was founded in 2009, and is headquartered in South Richmond Hill, New York, USA, with a workforce of 201-500 employees. Its website is https://webologics.com/.
Apply To This Job