| immediate openings || Data Scientist with 10 years Experience || Remote ||contract at Remote, Remote, USA |
| Email: [email protected] |
| From: thiru, themesoft [email protected] Reply to: [email protected] Hi Professionals; This Thiru from Themesoft INC. Kindly let me know if you are interested in this opportunity Role: Data Scientist 5 Location: Remote Years of Exp: 10 Yrs "Candidate Requirements Years of Experience Required: 10 years overall years of experience in the field. Senior Data Scientist with specialized expertise in developing sophisticated scoring and index models. Degrees or certifications required: None Disqualifiers: None Best vs. Average: The ideal resume would contain scoring experience and experience doing lead scoring. Performance Indicators: Performance will be assessed based on delivering documents and requirements on time. Deliverables - adhering to deliverable schedule. Top 3 Hard Skills Required + Years of Experience 1. Minimum 10 years experience with Statistics. 2. Minimum 10 years experience with Data science. 3. Minimum 10 years experience with Python." "We are seeking an experienced Senior Data Scientist with specialized expertise in developing sophisticated scoring and index models to join our dynamic analytics team. The ideal candidate will possess a deep understanding of statistical modeling, machine learning algorithms, and data analysis techniques. This role involves designing, implementing, and optimizing predictive models that will drive strategic decision-making and enhance our product offerings. Responsibilities: Lead the development and implementation of advanced scoring and indexing models to evaluate and predict various business outcomes. Collaborate with cross-functional teams to understand business needs, identify opportunities for model application, and integrate data science solutions into operational processes. Conduct in-depth data analysis, including data mining, statistical analysis, and predictive modeling, to derive insights and inform model development. Ensure the integrity and accuracy of scoring models by implementing rigorous validation and testing protocols. Communicate complex model methodologies and insights to both technical and non-technical stakeholders, providing actionable recommendations based on model outputs. Stay current with the latest developments in data science, particularly in the area of scoring and indexing models, and evaluate emerging technologies for potential application within the organization." Keywords: |
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| Wed Feb 07 00:26:00 UTC 2024 |