Data Scientist & Platform Advocate for AI/ML

MACHINE LEARNING TECHNOLOGIES LLC; St. Louis (MO); On-site; USD 85,000 - 115,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Data Scientist/Data Modeler/AI/ML professional in St. Louis, MO. The candidate will bridge the gap between the Decision Science Ecosystem platform and the data science community, enabling them to model and operationalize solutions.

Responsibilities include facilitating workshops, building community relationships, and developing educational content. Master’s degree and proficiency in Python or R required, along with experience in cloud platforms like AWS SageMaker.

The position is for an initial 12-month term with potential extensions, and offers a DOE hourly rate.

Qualifications

• Experience as a data scientist or data modeler.
• Ability to read code but not develop it.
• Evangelism and promotion abilities.

Responsibilities

• Partner with the Data Science community to implement best practices.
• Develop tools that simplify platform operations.
• Create educational content and provide technical support.

Skills

Perfect Communication

Foster a developer community

Proficiency in Python or R

Experience with cloud platforms: AWS, GCP, Azure

Knowledge of MLOps practices

Education

Masters degree

Tools

AWS SageMaker

pandas

NumPy

scikit-learn

data visualization tools

Job description

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Job Description

Job Overview

• Job ID:
  
  

J53050

• Job Title:
  
  

Data scientist/data modeler/AI/ML

• Location:
  
  

St. Louis, MO

• Duration:
  
  

12 Months + Extension

• Hourly Rate:
  
  

Depending on Experience (DOE)

• Work Authorization:
  
  

US Citizen, Green Card, OPT-EAD, CPT, H-1B,

H4-EAD, L2-EAD, GC-EAD

• Client:
  
  

To Be Discussed Later

• Employment Type:
  
  

W-2, 1099, C2C

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Job Description:

Required Qualifications:

• Perfect Communication
• Foster an developer community around Global Data Assets & Analytics platforms and technologies.
• Participate in and organize hackathons, workshops, and meetups to facilitate interaction and knowledge sharing, aligned with platform’s roadmaps.
• Build relationships with key influencers, community leaders, and other organizations to extend the platform’s reach and amplify its messages.
• Advocate for 600+ individuals in the data realm.
• Need to read code but will not be developing code.
• Evangelism and Promotion
• Masters degree
• Data scientist, data modeler, artificial intelligence (AI)
• Data science: Python or R, in libraries like pandas, NumPy, scikit-learn, and data visualization tools
• Top cloud : AWS sagemaker (streamline machine learning (ML) from data preparation to model deployment), if not AWS then GCP, Azure.
• MLOps practices, and model deployment strategies
  
  

Roles And Responsibilities Of Developer Advocates

A Developer Advocate at Global Data Assets & Analytics (GDA&A) for the Decision Science Ecosystem platform serves as the bridge between the DSE platform team and the data science community. This role focuses on enabling data scientists to successfully model and operationalize their solutions on the DSE platform.

The role targets internal Crop Science consumers, delivering solutions that integrate with Global Data Assets products including Location360, Market360, Product360, and Crop Science Warehouse (CSW). The scope extends beyond DSE to enhance delivery value across all GDA&A teams by optimizing utilization of shared tools and data products.

Key Responsibilities:

• Partner with member of the Data Science community to implement best practices and align with platform vision
• Develop and contribute tools that simplify platform operations
• Create educational content and provide technical support
• Gather developer feedback and advocate for community needs
• Foster a thriving data science community
  
  

Apply Now

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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