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Data Scientist

Bimbo Bakeries USA
Posted 2 months ago, valid for 17 days
Location

Irving, Dallas 75059, TX

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Bimbo Bakeries USA is seeking a motivated Data Scientist to join their data science team, offering a salary range of $91,500 to $119,000.
  • Candidates should possess a bachelor's degree in a quantitative field and have at least 4 years of data science or analytics experience.
  • The role involves data analysis, model development, and automation, providing hands-on experience with real-world datasets and business-critical projects.
  • Technical skills required include proficiency in Python, SQL, and machine learning techniques, along with strong problem-solving abilities.
  • Bimbo Bakeries USA promotes a safe and inclusive work environment, offering comprehensive benefits and opportunities for professional development.
Have you ever enjoyed Arnold®, Brownberry® or Oroweat® bread? A Thomas’® English muffin or bagel? Or perhaps snacked on a Sara Lee®, Entenmann’s® or Marinela® cake or donut? 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 & 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. This is an excellent opportunity for early-career professionals to gain hands-on experience with real-world data science applications while contributing to business-critical projects. You'll receive mentorship, professional development, and exposure to cutting-edge technologies in a collaborative environment.
 
KEY RESPONSIBILITIES:
Data Analysis & Exploration
  • Clean, transform, and analyze large datasets to identify patterns and trends
  • Perform exploratory data analysis (EDA) to understand data quality and characteristics
  • Create data visualizations to communicate findings to stakeholders
  • Document data sources, methodologies, and analytical approaches. 
Model Development & 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

 Data Pipeline & 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 & 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. Reasonable accommodations may be requested to enable individuals with disabilities to perform the essential functions.
Bimbo Bakeries USA is an equal opportunity employer with a policy that provides equal employment opportunity for applicants and employees regardless of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, any other classification protected by law.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.



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