Data Scientist (Senior Scientist, Data Science)

LGC Group • Alexandria, MN

8h • Hybrid

About The Position

We seek a dynamic and experienced Data Scientist to play an integral role in developing and enhancing LGC's data science product portfolio. As a pivotal member of our innovative R&D team, you will collaborate closely with multiple divisions within LGC, leveraging your data science expertise to deliver impactful insights and advanced solutions. The ideal candidate will possess experience across various data mining techniques, analytical methodologies, statistics and modern data modeling tools. Skilled in designing, building, and deploying models on-premises and in the cloud, creating novel algorithms, programming, optimizing processes, and conducting comprehensive simulations. You should be enthusiastic about extracting meaningful patterns from large-scale datasets, creating predictive and analytical models, and proactively managing data infrastructure to ensure accuracy, accessibility, and efficiency.
If you're passionate about uncovering insights from data and contributing significantly to data-driven innovation, we encourage you to join our team.

Requirements

• Ph.D or M.S or equivalent experience with at least 3 years of industry/academic experience in data science, statistics, mathematics, computer science, physics, computational biology, operations research, or a related field
• Ability to break down and understand complex business/scientific challenges, define solutions, and implement them using advanced quantitative methods
• Proficiency in high-level scripting languages (Python, Java)
• Experience with statistical data analysis and visualization tools (R, matplotlib, or similar)
• Experience with LINUX-based operating systems and shell scripting
• Expertise in supervised and unsupervised learning methods
• Knowledge and experience in statistical and data mining techniques: Linear Mixed model, Clustering, GLM/Regression, Random Forest, Boosting, Trees, text mining, network analysis, etc.
• Ability to analyze algorithms
• Knowledge of software development principles and architecture
• Basic computer skills, including working knowledge of Microsoft Office suite of products, particularly Word, Excel, PowerPoint, and Visio

Nice To Haves

• Understanding of deep learning and LLM algorithms
• Knowledge of Frequentist and Bayesian statistics, and neural networks
• Experience in Cloud technologies such as AWS, Azure, or GCP
• Knowledge of any relational database such as My SQL

Responsibilities

• Work with multiple partners throughout the organization to identify valuable data sources and automate collection processes
• Undertake pre-processing, curating, and model building of the structured and unstructured data
• Analyze large datasets and experiments to discover trends and patterns with statistics
• Help identify and define new product ideas based on the outcomes from the predictive models and machine-learning algorithms
• Present analytical results using data visualization techniques
• Propose data science solutions and strategies for R&D and business challenges
• Taking ideas from theory into deployment
• Learn, follow, and deliver high-quality product development documentation consistent with LGC’s quality systems

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree