Data Scientist - Machine learning

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Job Opportunity: Data Scientist - Machine Learning at VIR Consultant LLC

Join our innovative team at VIR Consultant LLC as a Data Scientist specializing in Machine Learning. Help us drive cutting-edge research and data science projects to success.

Responsibilities

  • Collaborate with R&D scientists to develop and prototype robust machine learning solutions tailored to project requirements.
  • Design and implement scalable data pipelines for processing complex datasets, including high-throughput bioassays and large-scale agriculture data.
  • Work alongside data scientists, data engineers, and production teams to deploy and maintain large-scale data products.
  • Train and communicate with research partners, enabling data-driven decision-making through model insights and products.
  • Translate complex data analysis into simple, actionable insights for leadership; present findings in both internal and external forums; and contribute to scientific publications as needed.
  • Oversee the data product life cycle and collaborate with other scientists to enhance and optimize underlying models and data architecture consistently.
  • Stay updated on emerging technologies in big data, machine learning, and agricultural tech, advocating for their beneficial adoption.

Educational Qualifications

M.S. or above in Applied Statistics, Artificial Intelligence, Biostatistics, Computer Science, Data Engineering, Data Science, Engineering, Machine Learning, Physics, Software Engineering, or related quantitative fields. A Ph.D. or additional experience is preferred but not required.

Required Qualifications

  • Proficiency in R or Python for data wrangling, machine learning (e.g., TensorFlow, PyTorch), and data visualization.
  • Fundamental understanding of machine learning techniques such as logistic regression, random forest, XGBoost, SVMs, K-means, and neural networks.
  • Solid grasp of variable selection, dimensionality reduction, model diagnostics, and model training, testing, and validation.
  • Experience deploying machine learning models in production, including CI/CD pipeline development, containerization (Docker, Podman, Kubernetes), and Git.
  • Ability to provide innovative solutions while working independently or within a multidisciplinary team environment.
  • Excellent communication, interpersonal, verbal, and written skills, facilitating effective collaboration with colleagues from diverse technical backgrounds.
  • Strong critical thinking, problem-solving skills, flexibility, and a willingness to learn.

Preferred Qualifications

  • Familiarity with modeling biological, cellular, or ecological data; concepts in molecular biology or biochemistry; or data science in agriculture.
  • Proven experience as a machine learning engineer or a similar role with an emphasis on machine learning deployment and data pipeline construction.
  • Knowledge of artificial intelligence or generative AI techniques.
  • Experience with big data technologies (e.g., Hadoop, Spark) and database management systems (e.g., SQL, NoSQL).
  • Experience with AWS.
  • Experience consulting on scientific projects or working within a scientific team.

Apply today and be a part of VIR Consultant LLC, where innovation meets data science excellence!