Data Scientist

12 hours ago

Bengaluru, India Planview Full time

**Job Description**:
**Overview**

As the global leader in work and resource management, Planview makes it easier for all organizations to achieve their business goals. We provide the industry’s most comprehensive solutions 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.

Planview is looking for a passionate data scientist to join our team innovating tools for connected work. You will work closely with other data scientists and individual product teams to specify, validate, prototype, scale, and deploy features with a consistent customer experience across the Planview product suite.

**Responsibilities**
- Ability to work in a fast paced start up mindset. Should be able to manage all aspects of AI/ML activities
- Collaborate with product teams to understand customer and professional services use cases that can benefit from data science-driven insights
- Work on various aspects of the AI/ML ecosystem - model building, ML pipelines, logging & versioning, documentation, scaling, deployment, monitoring and maintenance etc.
- Develop methods for efficient transfer and processing of structured and unstructured data from product data stores
- Innovate data pipelines for analysis, while refining, automating, and scaling as needed for the use-case at hand
- Work closely with MLOps Engineers to come up with scalable system and model architectures for enabling real-time ML/AI services
- Assess the ability of these pipelines to generate valuable customer insights, and work with UI/UX engineers to automatically surface these insights within existing products

**Qualifications**

Required qualifications
- Masters or equivalent experience in Informatics, CS, Data Science or a related field
- 2+ years of experience as a data scientist, data analyst, or data engineer
- Strong Python and SQL coding skills
- Exposure to NLP models, regression, statistics

Preferred qualifications
- Passionate about playing the role of full-stack data scientist and taking solutions to production
- Exposure to database queries, data analysis and wrangling (SQL)
- Exposure to any of the libraries and frameworks in data science (Scikit Learn, Tensorflow, PyTorch etc)
- Exposure to ML platform tools (AWS SageMaker or equivalent)
- Ability to communicate ideas drawn from complex data with clarity and insight
- Skilled at working as part of a global, diverse workforce of high-performing individuals

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