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Data Scientist Lead
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Data Scientist Lead

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1 Vacancy
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Job Location

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- USA

Monthly Salary

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Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2571810

Role Purpose
The purpose of the role is to define architect and lead delivery of machine learning and AI solutions.

Demand generation through support in Solution development
Support GoToMarket strategy
Collaborate with sales presales &consulting team to assist in creating solutions and propositions for proactive demand generation
Contribute to development solutions proof of concepts aligned to key offerings to enable solution led sales
Collaborate with different colleges and institutes for recruitment joint research initiatives and provide data science courses

Revenue generation through Building & operationalizing Machine Learning Deep Learning solutions
1. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions
2. Collaborate with ML Engineers Data engineers and IT to evaluate ML deployment options
3. Integrate model performance management tools into the current business infrastructure

Team Management
Resourcing
Support recruitment process to onboard right resources for the team
Talent Management
Support on boarding and training for the team members to enhance capability & effectiveness
Manage team attrition
Performance Management
Conduct timely performance reviews and provide constructive feedback to own direct reports
Be a role model to team for five habits
Ensure that the Performance Nxt is followed for the entire team
Employee Satisfaction and Engagement
Lead and drive engagement initiatives for the team


Regards

Thakur Sandeep Singh

TekisHub Consulting Services

1000 N West Street Suite 1200 Wilmington DE 19801
(O)x 270 (D)
Global : USA Canada India Singapore
India : Hyderabad Bangalore Noida Pune

Employment Type

Full Time

Company Industry

Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills
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