Virtual data entry • chattanooga tn
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The average salary range is between $ 29,250 and $ 78,000 year , with the average salary hovering around $ 48,750 year .
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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