Senior Data Scientist

Senior Data Scientist
Location: Indianapolis IN

Duration: 12 Months

Project Description: The candidate must have experience and fundamental knowledge in machine learning experience in deploying models and programming skills to develop and deliver novel solutions in an industry setting.

Responsibilities: Partner with R&D scientists to develop and prototype rigorous machine learning solutions aligned to project needs

Design and implement scalable data pipelines for processing highcomplexity datasets such as highthroughput bioassays or largescale agriculture datasets
Partner with data scientists data engineers and production teams to deploy and maintain data products at scale
Communicate and train research partners on models and products to facilitate datadriven decisions
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 scientists to continuously improve underlying models and optimize data architecture
Stay abreast of emerging technologies in big data machine learning and agriculture tech and advocate for their adoption where beneficial

Required Qualifications

78 Years of strong expertise in R or Python programming languages and their application to data wrangling machine learning (e.g. TensorFlow PyTorch) and data visualization
Experience and fundamental understanding of machine learning techniques (e.g. logistic regression random forest XGBoost SVMs Kmeans neural networks)
Solid understanding of variable selection; dimensionality reduction; model diagnostics; and model training testing and validation
Experience deploying machine learning models in production (e.g. CI/CD pipeline development; containerization using tools such as docker podman or Kubernetes; Git)
Ability to work both independently and within a multidisciplinary team environment to provide innovative solutions
Ability to successfully collaborate with colleagues from diverse technical backgrounds which includes excellent communication interpersonal verbal and written skills
Strong critical thinking and problemsolving skills flexibility and willingness to learn
Best Regards
Tarun Shrivastava
Talent acquisition specialist