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Senior Data Scientist

Our TeamGuardian Industries, a subsidiary of Koch Industries, is a global leader in glass manufacturing and coated glass products. The company is dedicated to innovation, sustainability, and delivering high-quality solutions across various industries, including automotive and building products. Our Advanced Analytics Capability is at the forefront of leveraging data and AI to drive business growth and operational excellence. We seek a Senior Data Scientist to join our AI and Data Science team to embark on the journey of developing Large Language Models (LLMs) and Generative AI tools to drive business value and enhance operations and commercial outcomes.Our highly skilled, enthusiastic data scientists are redefining what's possible for Guardian by utilizing the massive amount of process data to transform operations, research, and development. We invest in our team by encouraging attendance at industry conferences and ongoing education opportunities, enabling them to stay in the dynamic, ever-changing data science landscape and bring new methods and techniques to their projects.What You Will Do• Develop a strong understanding of the operations and business processes and identify possible opportunities that add value.• Apply machine learning algorithms to perform analysis, create predictive models, visualize data, and drive projects through to delivery toward solving operations problems.• Interact with business and manufacturing SMEs to identify requirements and propose solutions.• Have the intellectual curiosity to research and identify new modeling technologies/methodologies/software packages to improve the current modeling processes.• Continuously scan and test new data sources, tools, and analytical techniques and partner with leading institutions and experts to contribute to our portfolio of next-generation analytics projects.• Analyze large complex time series datasets to extract useful patterns to deliver business insights and communicate results to key decision-makers.• Issue reports detailing tool development (including unsuccessful approaches), quality assurance actions performed, results, etc.• Work with data engineers to improve functionality in data systems (e.g., data reliability, efficiency, usability, and quality) and improve downstream data analysis capabilities.• Rapidly design, prototype, and test many possible hypotheses . Further, focus on building minimum viable products toward solving most of the issues instead of "perfecting" the solution unless it is critical to safety.• Leading and working on multiple projects simultaneously and switching priorities as the business needs require.• Employ visualization, reporting, and other tools to improve how teams access various datasets.• Strong data-driven storytelling to present to stockholders.Who You Are (Basic Qualifications)• 5+ years of experience in applying ML to solve complex application problems.• Excellent knowledge of various predictive, machine learning, and artificial intelligence techniques (classification, predictive, artificial neural networks, etc.) and real-world applications such as computer vision.• 3+ years of experience with hands-on experience in programming with Python and machine learning packages ( Tensorflow / PyTorch , Keras , Scikit-learn, Pandas, Numpy , Plotly , Shiny, etc.)• Fluent with SQL.• Familiarity with various computing infrastructures and technologies e.g., AWS, GPU, Linux, GIT, etc.What Will Put You Ahead• Ph.D. or Masters degree in a quantitative field (Data Science, Engineering, Statistics, Computer Science, Physics, Operational Research, Economics, or equivalent)• Working knowledge of glass manufacturing processes and/or vacuum coating or similar manufacturing.• Experience in process operations analytics and manufacturing optimization• Knowledge of tools such as Spark, Docker, Snowflake, AWS, Azure DevOps,• Familiarity with Azure AI services.• Experience in developing LLM solutions and designing tools or plugins to enhance LLM functionality.At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.Hiring PhilosophyAll Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here .Who We AreAs a Koch company and a leading manufacturer of bath tissue, paper towels, paper-based packaging, cellulose, specialty fibers, building products and much more, Georgia-Pacific works to meet evolving needs of customers worldwide with quality products. In addition to the products we make, we operate one of the largest recycling businesses. Our more than 30,000 employees in over 150 locations are empowered to innovate every day - to make everyday products even better.At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.Our BenefitsOur goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.Equal OpportunitiesEqual Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information.#LI-SW5

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What You Should Know About Senior Data Scientist, Guardian Industries

Join Guardian Industries, a forward-thinking subsidiary of Koch Industries, as a Senior Data Scientist based in Pontiac, MI, and help us redefine the glass manufacturing industry with innovative data solutions. In our AI and Data Science team, you will develop cutting-edge Large Language Models (LLMs) and Generative AI tools that are at the heart of driving our business value and enhancing operational efficiency. You will work closely with talented data scientists, business and manufacturing subject matter experts, and your insights will directly impact operations and decision-making processes. Your role will involve applying machine learning algorithms to analyze complex data sets, crafting predictive models, and leveraging your analytical skills to translate findings into actionable insights for our stakeholders. We believe in continuous learning, and you'll have opportunities to attend industry conferences, engage in ongoing education, and explore the latest data modeling technologies. By analyzing vast time series datasets, you will uncover useful patterns and contribute to projects that pave the way for future innovations. If you're ready to embrace intellectual curiosity, lead multiple projects, and communicate important insights effectively, you’ll find a fantastic home at Guardian Industries. Let’s unlock the future of data engineering together!

Frequently Asked Questions (FAQs) for Senior Data Scientist Role at Guardian Industries
What are the main responsibilities of a Senior Data Scientist at Guardian Industries?

As a Senior Data Scientist at Guardian Industries, you'll immerse yourself in developing large language models and generative AI tools to enhance business value. Your key responsibilities include analyzing complex datasets, applying machine learning algorithms, collaborating with subject matter experts to identify requirements, and offering innovative solutions. Additionally, you'll keep an eye on the latest data sources and technologies to enhance our modeling processes and support operational excellence.

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What qualifications do I need to become a Senior Data Scientist at Guardian Industries?

To become a Senior Data Scientist at Guardian Industries, you should have 5+ years of experience utilizing machine learning to solve complex problems and a strong grasp of programming in Python alongside machine learning packages such as Tensorflow and Scikit-learn. Experience with SQL and familiarity with computing infrastructures like AWS are also important. An advanced degree in a quantitative field is preferred and will put you ahead in the selection process.

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How does Guardian Industries support continuous learning for Senior Data Scientists?

Guardian Industries is committed to the professional growth of its Senior Data Scientists. The company encourages attending industry conferences and offers ongoing educational opportunities, enabling employees to stay current with the latest advancements in data science and machine learning. This supportive environment allows team members to explore new methodologies and enrich their skills continuously.

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What tools and technologies will I use as a Senior Data Scientist at Guardian Industries?

As a Senior Data Scientist at Guardian Industries, you'll make use of a variety of tools and technologies. Expected skills include expertise in programming languages like Python and SQL, as well as familiarity with AI frameworks (Tensorflow, PyTorch) and data processing libraries (Pandas, Numpy). Additionally, experience with cloud environments such as AWS and tools for DevOps will enhance your effectiveness in this role.

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What kind of projects will I work on as a Senior Data Scientist at Guardian Industries?

As a Senior Data Scientist at Guardian Industries, you will engage in a range of innovative projects focused on developing predictive models and analytical tools. Your work will primarily involve analyzing large time series datasets to extract business insights and solve real operational challenges. Overseen by a collaborative team, you’ll rapidly prototype ideas and iterate on solutions in a fast-paced environment.

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Common Interview Questions for Senior Data Scientist
Can you explain your experience with machine learning algorithms?

When answering this question, highlight specific machine learning algorithms you have used in your past roles as a Senior Data Scientist. Discuss projects where you applied these algorithms, showcasing your ability to choose the right model for the problem and the outcomes achieved through their application.

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How do you handle missing data in your datasets?

To effectively tackle this question, describe your methodology for handling missing data, such as imputation, deletion, or using algorithms that support missing values. Provide examples of how you've addressed this issue in previous projects and the impact it had on your analysis.

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What is your approach to feature selection?

Share your process for feature selection by explaining the techniques you use, such as Recursive Feature Elimination or feature importance from models. Use examples from your experience to illustrate how you've improved model performance through effective feature selection.

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Can you describe a challenging data problem you faced and how you solved it?

Use the STAR method to structure your answer: describe the Situation, the Task at hand, the Action you took to resolve the issue, and the Result achieved. Focus on demonstrating your problem-solving skills and analytical thinking as a Senior Data Scientist.

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How do you ensure your machine learning models remain relevant over time?

Discuss the importance of model evaluation and monitoring. Mention techniques you use to retrain models periodically, address concept drift, and ensure relevance as new data becomes available. Provide examples of how you've maintained existing models in your previous roles.

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What role does collaboration play in your work as a data scientist?

Emphasize how collaboration facilitates the sharing of insights and the integration of domain knowledge into data projects. Mention your experience working with cross-functional teams and how that has led to more impactful analytics outcomes.

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Can you detail your experience with data visualization tools?

Describe the data visualization tools you've used (like Plotly or Shiny) and discuss how you use these tools to communicate insights effectively to stakeholders. Provide examples of reports or dashboards you've created.

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What challenges do you foresee in developing LLMs?

Discuss potential challenges like data quality, computational resource demands, or ethical implications of LLM use. Show that you are not only aware of the technical difficulties but also understand the broader context of implementing such models responsibly.

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What is your experience with SQL and data management?

Highlight your proficiency in SQL, detailing how you’ve used it for data extraction, transformation, and loading in past data science projects. Provide examples of how you have optimized queries and ensured data integrity.

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How do you stay updated with advancements in data science?

Share how you keep abreast of new developments in data science, mentioning resources like online courses, research papers, relevant podcasts, or attending workshops and conferences. Your interest in lifelong learning will resonate well with the role.

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Guardian's vision is to create value for customers and society through constant innovation using fewer resources.

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Full-time, on-site
DATE POSTED
December 3, 2024

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