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Data Scientist || Johnston RI -Hybrid at Johnston, Rhode Island, USA
Email: [email protected]
From:

Naveen,

Smart IT Frame

[email protected]

Reply to:   [email protected]

Hi,

Greetings from Smart IT Frame, Hope you are doing well!!!

Smart IT Frame specializes in enabling you with your most critical line of resources. Whether its for permanent staffing, contract staffing, contract-to-hire or executive search, we understand the importance of delivering the most suitable talent; on time and within budget. With our Core focus in emerging technologies, we have provided global technology workforce solutions in North America, Canada & India. We take pride in delivering specialized talent, superior performance, and seamless execution to meet the challenging business needs of customers worldwide.

Role: Data Scientist

Location:
Johnston RI, Hybrid preferred

Type: Contract

Shift: Day 9AM TO 6PM

Job summary:

We are seeking a highly skilled Data Scientist with 7 to 11 years of experience to join our team as a Business Associate.

The ideal candidate will have a strong background in MLOps and Python, and will be responsible for overseeing various projects and ensuring their successful execution.

This role requires excellent organizational skills, the ability to manage multiple tasks simultaneously, and a keen eye for detail.

Required Skills: Python, Data Science, ML Ops

Roles & Responsibilities:

Oversee the planning, execution, and delivery of multiple projects within the organization

Coordinate with cross functional teams to ensure project milestones are met on time and within budget

Provide technical guidance and support in MLOps and Python to team members

Develop and implement project plans, including timelines, resource allocation, and risk management strategies

Monitor project progress and make necessary adjustments to ensure successful outcomes

Communicate project status, issues, and risks to stakeholders and senior management

Ensure that all project documentation is complete, accurate, and up-to-date

Facilitate regular project meetings and ensure that action items are tracked and completed

Identify opportunities for process improvements and implement best practices in project management

Collaborate with data scientists and engineers to integrate machine learning models into production environments

Ensure the scalability, reliability, and performance of machine learning systems

Provide training and mentorship to team members on MLOps and Python best practices

Evaluate and recommend new tools and technologies to enhance project efficiency and effectiveness

Conduct post-project evaluations to identify lessons learned and areas for improvement - Ensure compliance with company policies and industry regulations in all project activities

Foster a collaborative

and inclusive team environment that encourages innovation and continuous learning

Qualifications:

Possess a strong background in MLOps and Python with hands-on experience

Demonstrate excellent project management skills, including planning, execution, and monitoring  Exhibit strong communication and interpersonal skills to effectively collaborate with cross-functional teams

Show proficiency in developing and implementing project plans and risk management strategies

Have experience in integrating machine learning models into production enviro

Databricks experience all algorithms will be developed in Databricks so if any candidates have this expertise that would be a big advantage

Other relevant technologies: SQL, ADF, ADLS Gen 2

Extensive python knowledge

GIS experience would be a plus but not required

Insurance domain knowledge would be a plus but not required (specifically P&C commercial property)

10-15 Years of overall exp

--

Thanks & Regards  

Navaneetha Krishnan

Senior Technical Recruiter

Smart IT Frame LLC

[email protected]

https://www.linkedin.com/in/naveen-krishna-840a1619b/

www.smartitframe.com

Keywords: cprogramm machine learning information technology Rhode Island
Data Scientist || Johnston RI -Hybrid
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Tue Jun 25 18:55:00 UTC 2024

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Location: Johnston, Rhode Island