Data Science Intern Job at Gasser Chair Company, Youngstown, OH

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  • Gasser Chair Company
  • Youngstown, OH

Job Description

About Us:

Gasser Chair is a distinguished leader in the design and manufacturing of premium seating solutions, proudly trusted by some of the world's most iconic brands, including Wynn, Caesars, Ritz-Carlton, and Hilton. Renowned for our unwavering commitment to excellence and innovation, we design and produce custom seating solutions that seamlessly blend style, comfort, and durability, setting the standard in quality and design.

Founded in 1946, Gasser Chair has a rich history rooted in skill and ingenuity. As a third-generation, family-owned business, we have grown from a small operation to a global brand while staying true to our values of quality, integrity, and customer focus. With decades of expertise and a passion for innovation, we continue to redefine what is possible in custom seating solutions.

We encourage you to visit our website at to learn more about our history, explore our product offerings, and discover how we bring our legacy of craftmanship and innovation to every project we undertake.

Our Core Values:

At Gasser Chair, our core values define who we are and how we operate. We are committed to being Respectful , creating a welcoming and supportive environment; Accountable , working together to ensure success; Process-Driven , dedicated to following and improving best practices; and Adaptable , embracing positive change.

These values are not just words - they are the heart of how we work and grow together. We look for team members who share these principles and bring them to life every day. When you join Gasser Chair, you become part of a team that values collaboration, dedication, and a commitment to doing great work. Your success here starts with embracing our core values and contributing to a culture where everyone thrives.

Job Title: Data Scientist Location: Gasser Chair Corporate Job Type: Intern/Full Time Department: Data & Analytics Reports To: Business Analyst Manager

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About the Role:

We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. In this role, you will work closely with cross-functional teams to derive actionable insights from complex data sets and build predictive models that drive strategic decision-making. You will play a key role in leveraging data to solve business challenges and optimize performance.

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Key Responsibilities:

· Analyze large, complex datasets to identify trends, patterns, and opportunities.

· Design, build, and deploy machine learning models and data-driven solutions.

· Develop and maintain dashboards and data visualization tools to communicate insights.

· Collaborate with product, engineering, and business teams to understand objectives and deliver data-driven strategies.

· Clean, transform, and validate data to ensure its quality and reliability.

· Present findings to stakeholders in a clear and compelling way.

· Stay up-to-date with industry trends and emerging technologies in data science and analytics.

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Qualifications:

· Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

· 1+ years of experience in a data science or analytics role (more or less depending on level).

· Proficiency in Python, R, or other statistical programming languages.

· Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, XGBoost).

· Strong knowledge of SQL and experience working with relational databases.

· Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker).

· Excellent problem-solving, communication, and analytical skills.

· Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus.

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Preferred Qualifications:

· Experience with big data technologies (e.g., Spark, Hadoop).

· Knowledge of A/B testing and experimental design.

· Background in a specific domain (e.g., finance, healthcare, e-commerce) is a plus.

iatives.

Upon an offer of employment, a background and drug screen are required. 

Job Tags

Full time,

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