LGC

Data Scientist

LGC

full-time

Posted on:

Location Type: Remote

Location: Remote • Minnesota • 🇺🇸 United States

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Salary

💰 $90,000 - $150,000 per year

Job Level

Mid-LevelSenior

Tech Stack

JavaLinuxPythonShell Scripting

About the role

  • 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 to discover trends and patterns
  • 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
  • Attend meetings, conferences, symposia, and seminars to promote LGC capabilities and to stay on top of scientific/technological developments
  • Meticulously learn, diligently follow, and deliver high-quality product development documentation consistent with LGC’s quality systems
  • Follow company requirements of the ISO 13485 quality management system

Requirements

  • Ph.D or M.S or equivalent experience with at least 3-5 years of industry/academic experience in data science, mathematics, computer science, physics, biostatistics, 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 in low-level programming languages (C/C++)
  • Experience with 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: 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.
Benefits
  • Bonus eligible 📊 Resume Score Upload your resume to see if it passes auto-rejection tools used by recruiters Check Resume Score

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data sciencemachine learningPythonJavaC/C++data analysisdata visualizationstatistical techniquesdata miningalgorithm analysis
Soft skills
problem solvingcommunicationcollaborationcritical thinkingattention to detail
Certifications
Ph.DM.SISO 13485