data scientist

data scientist Horsham, PA 1 DAYS AGO 22520345 Summary Horsham, PA In-Person Competitive Salary 4 Years Experience Bachelor's degree No Commission 40.00 hours per week / Day Shift / Full-Time Description 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. Additional Details How To Identify Potential Job Scams

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