Data Scientist @ KTek Resourcing | Jobright.ai
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KTek Resourcing · 2 days ago

Data Scientist

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Health CareHuman Resources
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H1B Sponsorship
Hiring Manager
Ruchita Paradkar
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Insider Connection @KTek Resourcing

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

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

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Statistical modelingQuantitative analysisMachine learningDeep learningClassificationClusteringReinforcement learningMarketing optimizationCustomer acquisitionCustomer retentionPricing optimizationCross-sellingOperations optimizationTrading optimizationBusiness understandingPythonPandasScikit-learnSparkPysparkProblem-solvingCommunicationTeamworkDatabricksAWS SageMakerAzure AI StudioRetail ElectricityGas ExperienceLinuxGit

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
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

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
Ability to identify practical business implications
Good communication skills
Keen attention to detail
Think critically about analyses to ensure the conclusions make sense before sharing

Company

KTek Resourcing

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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 Stage

Leadership Team

E
Esha Kukreja
President, CEO and Co-Founder
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K
Kshitij Kukreja
Chief Executive Officer and Sr. Consultant
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Company data provided by crunchbase
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