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If the answer is yes, then you know Bimbo Bakeries USA! More than 20,000 associates in bakeries, sales centers, offices and on sales routes work to ensure our consumers have the freshest products at every meal. In addition to competitive pay and benefits, we provide a safe and inclusive work environment that appreciates  diversity, promotes development and allows our associates to be their authentic selves. #LI-SO1 Come join the largest baking company in the world and our family of 20,000 associates  nationwide! Top Reasons to Work at Bimbo Bakeries USA: Salary Range:  $91,500 - $119,000 Comprehensive Benefits Package Annual Bonus Eligibility 401k &amp; Company Match Position Summary:  BBU is seeking a motivated Data Scientist to join our growing data science team. In this role, you'll work alongside experienced data scientists to develop analytical solutions, build predictive models, and extract insights from complex datasets. 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Model Development &amp; Implementation  Build and test predictive models using supervised and unsupervised learning techniques Assist in feature engineering and selection for machine learning models  Perform model evaluation using appropriate metrics and validation techniques Support deployment of models to production environments \u00a0Data Pipeline &amp; Automation  Develop and maintain data pipelines for model training and scoring  Write clean, efficient, and well-documented code in Python and SQL  Automate repetitive data processing tasks  Follow software development best practices including version control (Git) REQUIRED QUALIFICATIONS Education  Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Engineering, or related quantitative field  Master's degree preferred but not required Experience  4 years of data science or analytics experience (internships, projects, or academic research count)  Demonstrated experience through personal projects, Kaggle competitions, or open-source contributions  Exposure to real-world datasets and problem-solving Technical Skills Programming:  Python: pandas, NumPy, scikit-learn, matplotlib/seaborn  SQL: Writing queries, joins, aggregations, and basic optimization Machine Learning:  Supervised learning: Linear/logistic regression, decision trees, random forests  Unsupervised learning: K-means clustering, PCA  Understanding of model evaluation metrics (accuracy, precision, recall, F1, RMSE)  Familiarity with train/test splits and cross-validation Statistics &amp; Mathematics:  Descriptive statistics (mean, median, standard deviation, distributions)  Probability concepts and statistical inference  Hypothesis testing and confidence intervals  Basic understanding of experimental design Data Tools: Jupyter Notebooks or similar interactive development environments Version control with Git/GitHub Data visualization tools (matplotlib, seaborn, Plotly) Basic SQL database querying Other: Strong problem-solving and analytical thinking skills Attention to detail and commitment to data quality Ability to learn quickly and adapt to new technologies Physical Demands: The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job.\u00a0Reasonable accommodations may be requested to enable individuals with disabilities to perform the essential functions. 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