RIT Solutions, Inc. Looking for data scientist -Remote at Indianapolis, IA Full Time

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

• MUST be strong R OR Python programming for data wrangling, stats, AND machine learning applications.
• MUST have a Masters +3 years XP OR a PhD in stats, data science, etc. see below for full list of fields.
• 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
• 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.

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

• Partner with scientists to develop, prototype, and deliver rigorous statistical and/or machine learning solutions aligned to project needs
• Pre-process high-complexity datasets such as high-throughput bioassays
• 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
• Steward data product life cycle and partner with other data scientists to continuously improve underlying models

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

• Strong expertise in R or Python programming for data wrangling, statistical analysis, and machine learning applications
• Solid fundamental knowledge in probability and statistics
• Extensive experience analyzing designed experiments and observational datasets (e.g., hypothesis testing, regression analysis, mixed effects models, and experimental design)
• Solid understanding of variable selection; dimensionality reduction; model diagnostics; and model training, testing, and validation
• 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

Preferred Qualifications

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