Sr. Data Scientist II

3 days ago

Bengaluru, Karnataka, India Planview Full time ₹ 9,00,000 - ₹ 12,00,000 per year

Overview:

Planview has one mission: to build the future of connected work, from ideas to impact.

As the global leader in work and resource management, Planview helps organizations accelerate the achievement of what matters most, supporting our customers from need to speed, from passion to progress, and from overhead to optimization. We provide the industry's most comprehensive solutions designed for strategic planning, portfolio and resource management, Lean and Agile delivery, product portfolio management, capability, and technology management (enterprise architecture), innovation management, and collaborative work and project management. Our connected platform of solutions underpins the business and digital transformations of more than 4,500 customers globally, including 59 of the Fortune 100.

At Planview, our people connections drive our innovation and success. Our global team of 1400+ work remotely and across our offices including Austin, Vancouver, Hod Hasharon, Bangalore, Sydney, and Stockholm. We're proud of our world-class, connected culture built on our shared values, that supports our teams to be successful from anywhere.

Learn more about our portfolio at , and connect with us on LinkedIn, Instagram, and X.

Responsibilities:

  • Enable Data Science features within Planview applications by working in a fast-paced start-up mindset.
  • Collaborate closely with product management to enable Data Science features that deliver

significant value to customers, ensuring that these features are optimized for operational efficiency.
- Manage every stage of the AI/ML development lifecycle, from initial concept through deployment in a production environment.
- Provide leadership to other Data Scientists by exemplifying exceptional quality in work, nurturing a culture of continuous learning, and offering daily guidance in their research endeavours.
- Effectively communicate ideas drawn from complex data with clarity and insight.

Qualifications:

  • Master's in Operations Research, Statistics, Computer Science, Data Science, or related field.
  • 8+ years of experience as a data scientist, data engineer, or ML engineer.
  • Demonstrable history for bringing Data Science features to Enterprise applications.
  • Exceptional Python and SQL coding skills.
  • Experience with Optimization, Machine Learning, Generative AI, NLP, Statistics, and Simulation.
  • Experience with AWS Data and ML Technologies (Sagemaker, Glue, Athena, Redshift)

Preferred qualifications:

  • Experience working with datasets in the domains of project management, software development, and resource planning.
  • Experience with common libraries and frameworks in data science (Scikit Learn,

    TensorFlow, PyTorch).
  • Experience with ML platform tools (AWS SageMaker).
  • Skilled at working as part of a global, diverse workforce of high-performing individuals.
  • AWS Certification is a plus

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