Senior Data Scientist - 10+ yrs - Remote

Overview

Remote
Depends on Experience
Full Time
No Travel Required

Skills

developing
Data Engineering
Tuning
problem-solving
Job Description: This role is critical to advancing enterprise-wide analytics at Client. The candidate will partner closely with data architecture
and business analytics teams to identify and implement machine learning (ML) use cases that address real-world business challenges. The position sits within Data & Analytics Center of Excellence
which is responsible for executing the company’s Enterprise Data & Analytics strategy
fostering a data-driven culture
governing data assets
and enabling impactful business insights. Leverage deep expertise in Dataiku (and Azure ML) to support business data scientists in defining
and deploying ML models. Provide guidance and mentorship to data scientists and development teams on ML best practices from ideation to deployment. Serve as an Advanced Analytics Product Owner: identify and prioritize new ML use cases
track progress and risks
and coordinate resolution efforts. Drive thought leadership on Advanced Analytics governance
including ethical and legal guidelines. Build
validate
and implement predictive models in support of strategic initiatives or AI/ML proof-of-concepts
clearly present findings to stakeholders. Analyze current data-related processes and lead process improvement initiatives. Proven ability to lead complex technical projects and collaborate across all levels of IT and business. Strong proj
with experience delivering high-impact technical solutions. Ability to effectively communicate technical concepts to both technical and non-technical audiences. Expertise in developing and delivering training or mentorship to team members.
and documentation skills. Experience developing business cases
proposals
and presentations.

Job Details

Job Description:

 

This role is critical to advancing enterprise-wide analytics at Client. The candidate will partner closely with data architecture, data engineering, and business analytics teams to identify and implement machine learning (ML) use cases that address real-world business challenges.

 

The position sits within Data & Analytics Center of Excellence, which is responsible for executing the company’s Enterprise Data & Analytics strategy, fostering a data-driven culture, governing data assets, and enabling impactful business insights.

 

Leverage deep expertise in Dataiku (and Azure ML) to support business data scientists in defining, developing, tuning, and deploying ML models.

 

Provide guidance and mentorship to data scientists and development teams on ML best practices from ideation to deployment.

 

Serve as an Advanced Analytics Product Owner: identify and prioritize new ML use cases, track progress and risks, and coordinate resolution efforts.

 

Drive thought leadership on Advanced Analytics governance, including ethical and legal guidelines.

 

Build, validate, and implement predictive models in support of strategic initiatives or AI/ML proof-of-concepts, clearly present findings to stakeholders.

 

Analyze current data-related processes and lead process improvement initiatives.

 

Proven ability to lead complex technical projects and collaborate across all levels of IT and business.

 

Strong project leadership and organizational skills, with experience delivering high-impact technical solutions.

 

Ability to effectively communicate technical concepts to both technical and non-technical audiences.

 

Expertise in developing and delivering training or mentorship to team members.

 

Excellent analytical, problem-solving, and documentation skills.

 

Experience developing business cases, proposals, and presentations.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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