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Data Science Manager
Data Science ManagerBimbo Bakeries USA • Irving, Texas, USA
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Data Science Manager

Data Science Manager

Bimbo Bakeries USA • Irving, Texas, USA
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_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: $102,000 - $142,800

Comprehensive Benefits Package

Annual Bonus Eligibility

401k & Company Match

Position Summary:

The Manager of Data Science will assist in developing and deploying advanced analytics and machine learning solutions that drive business value. This role requires expertise in statistical modeling, machine learning, and big data technologies. You will partner with cross-functional stakeholders to translate business challenges into data-driven solutions while mentoring and developing a high-performing team of data scientists.

Key Job Responsibilities:

Advanced Data Analysis & Strategy
  • Lead the collection, cleaning, and preprocessing of complex datasets.
  • Define and implement data strategies aligned with business objectives.
Machine Learning & AI Model Development
  • Design, develop, and deploy advanced machine learning models and AI solutions.
  • Optimize model performance through feature engineering, hyperparameter tuning, and validation.
Big Data & Scalable Solutions
  • Work with large-scale data processing frameworks (e.g., Spark, Hadoop).
  • Implement scalable machine learning models using cloud platforms (AWS, GCP, Azure).
Statistical Analysis & Experimentation
  • Conduct hypothesis testing, A/B testing, and causal inference analysis.
  • Apply statistical methods to derive actionable business insights.
Data-Driven Decision Making
  • Translate complex data findings into clear insights and business recommendations.
  • Develop dashboards and reports for executive leadership using tools like Power BI, Tableau, or Looker.
Mentorship & Leadership
  • Guide junior data scientists and analysts, providing technical mentorship and best practices.
  • Lead data science projects, ensuring timely delivery and alignment with business goals.
Collaboration with Cross-Functional Teams
  • Work closely with engineering, product, and business teams to integrate data science solutions.
  • Communicate complex data concepts to non-technical stakeholders effectively.
Automation & Optimization
  • Build and improve automated data pipelines and model deployment workflows (MLOps).
  • Optimize algorithms for efficiency, scalability, and real-time processing.
Research & Innovation
  • Stay up to date with the latest advancements in machine learning, AI, and data science techniques.
  • Experiment with new tools, frameworks, and methodologies to improve analytical capabilities.
Regulatory Compliance & Data Governance
  • Ensure data science projects adhere to privacy, security, and ethical AI standards.
  • Implement best practices in data governance and model explainability.
Key Behavioral Competencies:
  • Strong work ethic - ability to foster trusting relationships, demonstrate a sense of responsibility in job performance, show commitment to quality of work, exhibit discipline and dedication to complete work, and display a sense of teamwork and respect, enabling collaboration to meet goals
  • Communication, listening and interpersonal skills (English, oral & written)
  • Flexibility - adaptation to the changing needs and priorities in the work environment
  • Work under pressure
  • Ability to identify, analyze, organize and solve issues and problems in a timely and effective manner
  • Team approach / cooperation - work with others, and through others, in order to meet goals, accomplish work, and resolve problems
  • Customer service oriented - understand and anticipate the needs of users
  • Ability to identify and pursue new ideas, solutions, methods or opportunities to increase productivity and quality
  • Effectively deal with change and resistance to change
  • Detailed knowledge and understanding of IT architectures and business processes
  • Strong leadership skills, including the ability to develop and motivate high-performing teams
  • Strong written and verbal communications (English)
Strong interpersonal and networking skills

Education and Work History:
  • Undergraduate degree in a quantitative field (Masters Preferred).
  • 6+ years' experience in programming languages for data science including Python, SQL
  • 4+ years' experience in quantitative work
  • 4+ years' experience in data science.
  • 4+ years Machine Learning
  • 4+ years' experience in statistical analysis - Multivariate analysis, sampling methods, stochastic models, linear models
  • 4+ years' experience in developing API integrations
  • 4+ years' experience with big data processing frameworks including Spark
  • 6+ years' experience developing solutions with programming best practices, including version control, continuous integration, test-driven design, devops
  • Experience working in a matrixed organization structure.
  • Experience working in a distributed IT environment.
  • Experience managing external vendor relationships.
  • Experience managing outsourced vendor relationships.
  • Proficient with MS-Office, including Outlook, Project, PowerPoint, Word, Excel
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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Data Science Manager • Irving, Texas, USA

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