Data Scientist
Chattanooga, Tennessee, United States
Kenco Group
Your Trusted Partner for innovative Supply Chain Solutions for Today and Tomorrow. With Kenco's predictive analytics and performance visibility tools, you'll make informed decisions to improve your logistics operations.About the Position
As a Data Scientist you will be responsible for designing, implementing, and optimizing advanced data science models to solve business problems. You will collaborate with cross-functional teams to develop data-driven solutions that enhance our products and services.
Functions
• Processing, cleansing, and validating the integrity of data to be used for analysis
• Conduct research and analysis to identify data patterns and trends that can be leveraged for AI model development.
• Performs data analysis, interprets the findings from it and explains the finding to stake holders.
• Propose solutions and strategies to tackle business challenges.
• Design, develop, and implement machine learning algorithms and statistical models to power AI results and actions.
• Ensure AI model development incorporates all necessary guardrails that always allows the user to be in control.
• Lead testing processes to assess and continuously enhance AI performance.
• Continuously monitor and evaluate model performance, making improvements as necessary to ensure accuracy and relevance.
• Designs and maintains scalable data pipelines.
• Stay updated on industry trends and best practices in data science and customer analytics.
• Collaborate with cross-functional teams including data engineering, marketing, sales, and product development.
Qualifications
• A Bachelor’s or Master’s degree in mathematics, computer science, engineering, statistics, or related quantitative field required.
• 3-5 years of experience within data science, advanced analytics and statistical analysis.
• Strong programming skills in Python, with expertise in SQL.
• Strong understanding of machine learning algorithms and statistical modeling techniques.
• Experience deploying machine learning models in production environments.
• Ability to visualize data in the most effective way possible for a given project or study
• Expertise in building Generative AI applications.
• Proven track record of delivering data science solutions that drive business impact.
• Experience with cloud services such as AWS and utilizing containerized solutions for deploying scalable machine learning solutions.
• Experience with frameworks like Dash to build scalable web applications.
• Ability to work independently and with team members from different backgrounds.
• Excellent communication and presentation skills, with the ability to translate complex technical concepts to non-technical stakeholders.
Competencies
• Business Acumen – Knowledgeable in current and possible future policies, practices, trends, technology, and information affecting his/her business and organization.
• Communicate for Impact – Devoting the time and resources necessary to communicate the strategic vision, direction, priorities, and progress of the team for which you are responsible.
• Leading People – Ability to develop and implement strategies to maximize employee performance and foster employee engagement in meeting the organization's strategy.
• Managing Transitions/Change Management – Effectively plans, manages and communicates changes in processes with appropriate stakeholders.
• Relationship Management – Building and maintaining relationships with internal partners to successfully complete projects and organizational objectives.
• Strategic Agility - Gains perspective and balances the pressure between daily tasks and strategic actions that impact the long-term viability of the organization.
Travel Requirements
• This position is expected to travel approximately 25% or less.
• A passport is not required, but recommended.
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https://www.kencogroup.com/ccpa-notice-at-collection-for-employees-and-applicants/
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Science Data analysis Data pipelines Engineering Generative AI Machine Learning Mathematics ML models Pipelines Privacy Python Research SQL Statistical modeling Statistics Testing
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