AI Data Scientist

THE KRAFT GROUP-posted about 16 hours ago
Full-time • Mid Level
Onsite • Flower Mound, TX
501-1,000 employees
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The AI Data Scientist will use their expertise in machine learning, data analysis, and AI technologies to solve complex problems and extract insights from large datasets, to build AI-drive models that drive data informed decision making to enhance business operations. Additionally, the Data Scientist will participate in consulting projects focused on delivering insights to customers that leverage advanced analytics and data science capabilities, in support of transformation across The Kraft Group including industries such as manufacturing and sports and entertainment.

  • Design, develop and deploy machine learning models and algorithms for predictive analytics, recommendation systems, and other AI applications.
  • Analyze large and complex datasets to generate actionable insights for TKG various business units and functions.
  • Collaborate with stakeholders to define business challenges and translate them into data science solutions.
  • Build and maintain data pipelines, ensuring data integrity and accessibility for analysis.
  • Utilize statistical methods and predictive modeling techniques to forecast trends and improve decision-making.
  • Design and implement A/B testing frameworks to evaluate business strategies and product enhancements.
  • Work with IT and data engineering teams to optimize data storage, processing, and analytics infrastructure.
  • Stay up-to-date with the latest advancements in AI, machine learning, and big data technologies to drive innovation at The Kraft Group.
  • Ensure compliance with data governance, security, and privacy regulations.
  • Perform data cleaning, preprocessing, feature engineering and exploratory data analysis to prepare data for modeling.
  • Continuously improve model performance through testing, evaluation, and fine-tuning of algorithms.
  • Collaborate with business analysts, developers, and business stakeholders to understand requirements and deliver AI solutions that meet business objectives.
  • Special projects and assignments as business dictates
  • Responsible for the maintenance, creation and control of all personally identifiable information or any other information protected by any Confidentiality or Privacy Standards or Company Policies that you have access or knowledge of, including but not limited to any state or federal regulations including HIPAA
  • Bachelors Degree in Statistics, Economics, Mathematics, Computer Science, or quantitative discipline (Masters Degree is a plus)
  • 4 to 6 years of experience in data science, machine learning, developing and testing advanced analytical models and ML models
  • Experience in data mining with the ability to translate raw data into insights and recommendations
  • Strong understanding of statistical analysis, predictive modeling, and data visualization.
  • Interest in learning and applying statistical methodologies, techniques and processes to continuously deepen knowledge of advanced statistical analysis and modeling
  • Ability to process, analyze and present complex data sets and analyses in ways that are easy to understand for both technical and non-technical audiences
  • Demonstrable experience with common data science toolkits, such as Python, R, NumPy, TensorFlow, Pandas, scikit-learn, etc.
  • Experience working with cloud platforms (AWS, Azure, or GCP) and big data technologies (Hadoop, Spark, Snowflake).
  • Knowledge of data engineering principles, including ETL processes and database management.
  • Strong problem-solving skills with the ability to handle large-scale, unstructured datasets.
  • Ability to work collaboratively within a diverse team and serve a variety of stakeholders with different priorities
  • Must have attention to detail and focused concentration
  • Must be able to learn new tasks and complete tasks independently
  • Must be able to make timely decisions in the context of the workflow
  • Must possess strong organizational skills, ability to multi-task and responsiveness
  • Expertise in natural language processing (NLP) and /or computer vision applications ia a plus.
  • Understanding of MLOps practices and model deployment techniques.
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