Senior Data Scientist

5 Months ago • 5-10 Years • Data Analyst

Job Summary

Job Description

Lead complex data science projects, develop AI/ML models, and perform statistical analysis. Requires 5+ years of experience, expertise in Python, ML libraries, and cloud platforms. Experience with image datasets is a plus.
Must have:
  • Data Science
  • Machine Learning
  • Python Expertise
  • Cloud Platforms
Good to have:
  • Image Datasets
  • Hadoop, Spark
  • TensorFlow, PyTorch
  • Statistical Analysis

Job Details

About the job

What will you do?



  • Lead and execute complex data science projects from conception to implementation
  • .Develop and implement advanced machine learning models and algorithms
  • .Perform in-depth statistical analysis and predictive modelling to extract actionable insights
  • .Collaborate with cross-functional teams to understand business needs and provide data-driven solutions
  • .Mentor junior data scientists and analysts, guiding them in their professional development
  • .Communicate complex data findings and recommendations to stakeholders and senior management
  • .Stay current with the latest trends, techniques, and technologies in data science
  • .Drive innovation and best practices in data science within the organization


.
What are we looking fo


  • r?
    Bachelors or master’s in computer science, Data Science, or a related fie
  • ld.Minimum of 5+ years of experience in a data science role, with a proven track record of leading successful projec
  • ts.Experience in building scalable AI/ML, computer visions solutions on image datase
  • ts.Proficient in programming languages such as Pyth
  • on.Experience of cloud-based platforms i.e., Azure, AWS, GCP and big data technologies i.e., Hadoop, Spa
  • rk.Experience in machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTor
  • ch)Strong analytical and problem-solving skil
  • ls.Excellent communication and interpersonal skil
  • ls.Ability to work independently and collaboratively in a fast-paced environme


nt.

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AiDash is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, and water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. Our customers deliver ROI in their first year of deployment with reduced costs, improved reliability, and achieved sustainability goals. Learn more at www.aidash.com.

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