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Actalent

Data Scientist - ML Deployment & Scalable Pipelines

indianapolis, IN

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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

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

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500.

Diversity, Equity & Inclusion

At Actalent, diversity and inclusion are a bridge towards the equity and success of our people. DE&I are embedded into our culture through:

Hiring diverse talent

Maintaining an inclusive environment through persistent self-reflection

Building a culture of care, engagement, and recognition with clear outcomes

Ensuring growth opportunities for our people

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.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email for other accommodation options.

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Worksite address

indianapolis, IN, 46262, US

Who can apply

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