KTek Resourcing · 2 days ago
Sr. Data Scientist
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Responsibilities
Understanding of machine learning and deep learning models to select and implement for prediction, classification, and clustering projects
Apply machine learning or reinforcement learning to optimize marketing efforts with respect to customer acquisition, retention, pricing, cross-selling, operations and trading
Passion to learn latest AI techniques and explore applications for large language models
Understanding of the business context of projects and able to identify areas where models will be less predictive or have caveats to their predictive powers
Ability to translate complex business issues into achievable analytical learning objectives and actionable analytic projects
Ability to communicate and establish good relations with multi-disciplinary teams
Proficiency with Python, including pandas, scikit-learn
Experience in Spark or Pyspark
Qualification
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Required
Bachelor’s degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research required.
2+ years of experience in statistical modeling and quantitative analysis in industry or full-time academic research
Preferred
Advanced Degree (MS or PhD) in Statistics, Mathematics or Quantitative Marketing with a focus on machine learning is strongly preferred.
Experience with Databricks
Experience with AWS SageMaker
Experience with Azure AI Studio
Retail electricity or gas experience
Comfortable working in Linux
Experience with Git
Experience with Docker containers
Ability to learn and apply new quantitative techniques quickly and appropriately
Ability to interpret and communicate complex analytics results
Company
KTek Resourcing
KTek Resourcing is a staffing and recruiting company specializing in healthcare, oil, and gas human resources staffing solutions.
H1B Sponsorship
KTek Resourcing has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (1)
2021 (1)
Funding
Current Stage
Growth StageLeadership Team
Recent News
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