| Python Data Scientist :: Indianapolis, IN Hybrid) at Indianapolis, Indiana, USA |
| Email: [email protected] |
| Python Data Scientist NEED AGRICULTURE BACKGROUND Location: Indianapolis, IN Hybrid CAN SIT REMOTE IF THEY ARE OUTSIDE OF 50 MILES OF INDIANAPOLIS, IN OR DES MOINES, IA KEY SKILLS: Machine Learning R or Python Development CI/CD pipeline development Docker, Podman, Kubernetes, GIT Modeling biological, cellular, or ecological data Data Science in AGRICULTURE Project Scope and Brief 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 Skills / Experience: 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 highly quantitative fields. Ph.D or additional years of experience preferred but not required. Required Qualifications 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 and Regards!! Akashika Pandey Technical Resource Specialist Ace Technologies Inc 2375 Zanker Road, Suite 250, San Jose, CA 95131 Phone: 408-442-3665 | Extn 4286 | Email ID/Hangout : [email protected] ------------------------------------------------------------------------------------------------------- Reporting Manager: Gaurav Kumar| Email ID : Gauravk @acetechnologies.com | Phone: 408-442-3665 Ext 4261 Escalations : [email protected] Note: We respect your Online Privacy. This is not an unsolicited mail. Under Bills.1618 Title III passed by the 105th U.S. Congress this mail cannot be considered unsolicited as long as we include Contact information and a method to be removed from our mailing list. If you are not interested in receiving our e-mails then please reply with a "REMOVE" in the subject line to [email protected] and mention all the e-mail addresses to be removed with any e-mail addresses, which might be diverting the e-mails to you. We are sorry for the inconvenience -- Keywords: continuous integration continuous deployment artificial intelligence rlang information technology California Idaho Iowa Python Data Scientist :: Indianapolis, IN Hybrid) [email protected] |
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| Mon Apr 01 23:32:00 UTC 2024 |