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Principal Data Scientist

1.00 to 10.00 Years   Lahore, Pakistan   28 Jun, 2024
Job LocationLahore, Pakistan
EducationNot Mentioned
SalaryNot Mentioned
IndustryOther Business Support Services
Functional AreaNot Mentioned

Job Description

Leadership and Strategy:

  • Define the vision, mission, and long-term strategy for the Data Science team.
  • Collaborate with senior management to align data science initiatives with business goals.
  • Champion innovation, research, and adoption of emerging technologies.
Team Management:
  • Lead, mentor, and inspire a team of data scientists, machine learning engineers, and analysts.
  • Foster a collaborative and inclusive work environment.
  • Conduct regular performance evaluations and provide constructive feedback.
Project Execution:
  • Oversee end-to-end data science projects, from problem formulation to deployment.
  • Collaborate with cross-functional teams (Engineering, Product, and Business) to deliver high-quality solutions.
  • Ensure adherence to project timelines and quality standards.
Technical Expertise:
  • Stay abreast of industry trends, best practices, and advancements in data science, machine learning, and AI.
  • Provide technical guidance and hands-on support to the team.
  • Review and enhance data pipelines, models, and algorithms.
Stakeholder Engagement:
  • Work closely with business leaders to understand their needs and translate them into data-driven solutions.
  • Present findings, insights, and recommendations to both technical and non-technical audiences.
Collaboration and Communication:
  • Foster a culture of collaboration, knowledge sharing, and continuous learning.
  • Communicate effectively with team members, executives, and external partners.
RequirementsEducation:
  • Master?s or Ph.D. in Computer Science, Statistics, or a related field.
Experience:
  • Minimum 12+ years of relevant experience in data science, machine learning, and analytics.
  • Proven track record of leading successful data science teams.
  • Strong expertise in Python, R, SQL, and data visualization tools.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies.
  • Familiarity with natural language processing (NLP), computer vision, and deep learning.
  • Excellent problem-solving skills and business acumen.
Soft Skills:
  • Exceptional leadership, communication, and interpersonal skills.
  • Ability to influence and drive change across the organization.
  • Results-oriented mindset with a focus on delivering business value.

Keyskills :

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