Data Scientist

Job Title:

THE ROLE

Our site in Billerica, MA or Aurora, IL or Chaska, MN is seeking a Data Scientist to join our team. We are looking for a skilled Data Scientist with expertise in statistics, knowledge graphs, machine learning, and generative AI. The ideal candidate has a strong background in quantitative analysis, experience with complex data structures, and is well-versed in designing and implementing AI models using Knowledge Graphs. You will play a pivotal role in building and deploying sophisticated data models, extracting insights, and developing scalable AI solutions for our product lines.

WHAT YOU'LL DO

• Statistical Analysis and Data Modeling

• Conduct exploratory data analysis (EDA) and build statistical models to understand complex data patterns and drive strategic decisions.

• Design and implement statistical experiments to validate hypotheses and measure outcomes, focusing on scalability and reproducibility.

• Utilize advanced statistical techniques, including Bayesian methods, time series analysis, and predictive modeling.

• Develop and maintain interactive analytical tools and visualizations to support data-driven decision-making.

• Knowledge Graph Development

• Develop and maintain large-scale knowledge graphs to represent relationships across complex datasets.

• Extract, transform, and load (ETL) data from various sources to create interconnected knowledge representations.

• Implement graph-based algorithms to derive insights, improve recommendation systems, and enhance search capabilities.

• Ensure knowledge graph scalability, accuracy, and performance for end-user applications.

• Generative AI and Machine Learning

• Design, train, and fine-tune generative AI models, such as language models (e.g., GPT, BERT), to generate new content and enhance data insights.

• Work with large-scale datasets to create innovative solutions and deploy machine learning models that solve real-world business problems.

• Collaborate with software engineers to integrate generative AI solutions into existing applications, ensuring seamless user experiences.

• Cross-Functional Collaboration and Communication

• Collaborate closely with manufacturing engineers, quality engineers, R&D scientists, and data engineers to understand business requirements and translate them into successful model deployment.

• Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

• Document methodologies, workflows, and best practices to support knowledge sharing and training within the team.

WHAT WE SEEK

• Education: Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field.

• Experience: 3+ years of experience in data science, focusing on statistical modeling, knowledge graphs, and/or generative AI applications.

• Technical Skills:

• Proficiency in Python, R, or similar programming languages for data analysis.

• Experience with graph databases (e.g., Neo4j, ArangoDB) and graph algorithms.

• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and generative AI models.

• Experience managing workloads in cloud environments (e.g., GCP, AWS, Azure).

• Strong foundation in statistical techniques, data structures, and algorithms.

• Strong analytical, problem-solving, and critical-thinking abilities.

• Excellent communication skills and ability to work collaboratively in cross-functional teams.

• Ability to manage multiple priorities in a fast-paced, dynamic environment.

OUTSTANDING CANDIDATES WILL HAVE: