Data Scientist

Actalent; Indianapolis (IN); On-site; USD 120,000 - 190,000; Full time

Job summary

Actalent in Indianapolis, IN is seeking a machine learning deployment specialist to help deploy 20 models and optimize high-performance data products.

You will partner with R&D scientists to develop robust ML solutions, design scalable data pipelines, and work with data engineers and production teams to deploy and maintain data products at scale. Strong communication and collaboration are essential for success.

Qualifications

• Experience deploying ML models to production environments.
• Ability to design scalable data pipelines for high-throughput datasets.
• Strong collaboration with R&D and production teams to operationalize data products.

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.
• 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.
• Steward data product life cycle and partner with other scientists to continuously improve underlying models.
• Stay abreast of emerging technologies in big data, ML, and agriculture tech and advocate for adoption where beneficial.

Skills

R

Python

Machine Learning

Job description

The client has a need with machine leaning, they need someone who can work on deployment. Deploying 20 models and need someone to work with them. Looking for high performance

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

• R, Python, Machine Learning, Development, CI/CD, Data Science, Data Analysis, Modeling

Top Skills Details

• R, Python, Machine Learning

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.