Sr. Data Scientist

Posted Yesterday
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2 Locations
In-Office
Senior level
Artificial Intelligence • Information Technology • Software • Consulting
The Role
Leads junior data science teams, translates business needs into technical solutions, selects algorithms, monitors implementation, validates performance, ensures data science best practices, oversees quality assurance and documentation, and presents results to business stakeholders. Requires expertise in Python, SQL, machine learning, statistics, generative AI, cloud and MLOps, along with domain knowledge, business communication, and leadership.
Summary Generated by Built In
1.Coordinating the junior Data Science team throughout the entire engagement
2.Leading the business framing phase and its translation into the technical solution
3.Providing expertise into finding the optimal solution/algorithm for each use case.
4.Continuously monitoring the implementation activities to promptly highlight any technical issue or source of potential delay
5.Validating the implemented solution in terms of technical performances and adherence with the functional requirements previously collected
6.Ensuring compliance of the implemented solution to data science best practices
7.Quality assurance of the solution and the related technical documentation
8.Results presentation to business stakeholders

Python + SQL + ML + Statistics + GenAI + Cloud/MLOps + Domain expertise + Business communication + Leadership

Skills Required

  • Python experience
  • SQL experience
  • Machine learning expertise
  • Statistics expertise
  • Generative AI experience
  • Cloud and MLOps experience
  • Domain expertise
  • Business communication skills
  • Leadership experience
Am I A Good Fit?
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The Company
400 Employees
Year Founded: 2017

What We Do

Proclink is a digital and AI transformation company that helps regulated and operationally intensive enterprises modernize systems, workflows, and decision environments. It combines strategy and consulting, data engineering, artificial intelligence, analytics, implementation and integration, managed services, and technology services. The company serves manufacturing, financial services, life sciences, and other regulated industries, delivering connected enterprise intelligence and measurable operational performance for clients.

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