Data Scientist -Remote Jobs

Try to find a local resource first...Can be remote for non-locals
Duratoion: 6+ month
Visa; Any except H1B and CPT
Must have a valid LinkedIn profile

• The winning candidate will have some sort of familiarity with modeling biological, cellular, or ecological data; molecular biology or biochemistry concepts; or data science in agriculture – consider this a MUST
• MUST be strong R OR Python programming for data wrangling, stats, AND machine learning applications.
• Business Context: This team is focused in crop protection research and development – Scientist are look at 1200 different cell features, then apply a chemical to the cell and identify the changes in the cell compared to the mode of action of the chemical. The data scientist partner with biologist in building data science models to better predict outcomes of an experiment.
• MUST have a Masters +3 years XP OR a PhD in stats, data science, etc. see below for full list of fields.

Project Scope And Brief Description
Develops and applies innovative methods and tools to deliver insights for Corteva R&D. The candidate will partner with leading toxicologists, environmental scientists, and discovery scientists to support our growing data science effects in predictive safety.
Responsibilities

• Steward data product life cycle and partner with other data scientists to continuously improve underlying models
• Partner with scientists to develop, prototype, and deliver rigorous statistical and/or machine learning solutions aligned to project needs
• Communicate and train research partners on data science models and products to facilitate data-driven decisions
• Partner with engineering and production teams to deploy data products at scale
• Communicate insights derived from complex data analysis into simple conclusions that empower leadership to drive action; communicate results in internal and external forums; and contribute to scientific articles as needed
• Pre-process high-complexity datasets such as high-throughput bioassays

Skills / Experience
Educational Qualifications
M.S. + 5 years' experience or Ph.D. degree in Statistics, Applied Statistics, Biostatistics, Computer Science, Data Science, Engineering, Physics, or related highly quantitative fields. Additional years of experience preferred but not required.
Required Qualifications

• Fundamental understanding of machine learning techniques for classification (e.g., logistic regression, random forest, XGBoost, SVMs, K-means, and neural networks)
• Ability to work both independently and within a multidisciplinary team environment
• Ability to successfully collaborate with colleagues from diverse technical backgrounds which includes excellent communication, interpersonal, verbal, and written skills
• Strong critical thinking and problem-solving skills, flexibility, and willingness to learn
• Solid fundamental knowledge in probability and statistics
• Solid understanding of variable selection; dimensionality reduction; model diagnostics; and model training, testing, and validation
• Extensive experience analyzing designed experiments and observational datasets (e.g., hypothesis testing, regression analysis, mixed effects models, and experimental design)
• Strong expertise in R or Python programming for data wrangling, statistical analysis, and machine learning applications

Preferred Qualifications

• Experience consulting on scientific projects or working within a scientific team
• Expertise in experimental design or data engineering
• Familiarity with modeling biological, cellular, or ecological data; molecular biology or biochemistry concepts; or data science in agriculture