Sr. Data Scientist - Indianapolis, IN (Hybrid) at Yashco Systems

Role: Senior Data Scientist
Location: Indianapolis, IN
Duration: 10-12 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 high-complexity datasets such as high-throughput bioassays or large-scale 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 data-driven 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

• 7-8 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, K-means, 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 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
• Proven experience as a machine learning engineering or similar role with a strong focus on machine learning deployment and data pipeline construction
• Familiarity with artificial intelligence or generative AI techniques
• Experience in 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

Thanks & Regards,
Abdul