Sr. Data Scientist II

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 planview.com, 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 these features are also optimized for operational efficiency.

Manage every stage of the AI/ML development lifecycle, from initial concept through deployment in a production environment.

Design and implement optimization models (e.g., resource-constrained scheduling, portfolio/project selection, simulation-based decision support) to solve complex planning and allocation problems at enterprise scale.

Contribute to agentic AI features - forecasting, risk-scoring, and recommendation models that power AI agents embedded in Planview products.

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 endeavors.

Effectively communicate ideas drawn from complex data with clarity and insight.

Qualifications:

Required Qualifications:

Master's in Operations Research, Statistics, Computer Science, Data Science, or a related field.

8+ years of experience as a data scientist, data engineer, or ML engineer.

Demonstrable history bringing Data Science features to Enterprise applications.

Exceptional Python and SQL coding skills.

Strong grounding in Optimization (linear/integer programming, simulated annealing, heuristics, or similar) alongside Machine Learning, Generative AI, NLP, Statistics, and Simulation.

Experience with AWS Data and ML Technologies (SageMaker, Glue, Athena, Redshift).

Experience designing and building tool/service interfaces that other systems (including AI agents) can invoke reliably - API/service contract design, schema definition, and testing discipline.

Working understanding of agentic AI system architecture - how agents discover and call tools, how actions are scoped and tracked, and how outputs feed back into planning workflows.

Preferred Qualifications:

Experience working with datasets in the domain 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).

Hands-on experience with MCP (Model Context Protocol) or similar tool-calling/agent orchestration standards (e.g., A2A, LangChain tool interfaces).

Skilled at working as part of a global, diverse workforce of high-performing individuals.

AWS Certification is a plus.

Great Benefits and Fun Perks :

We offer highly competitive benefits packages for every lifestyle.

No one likes working in a box, right? That’s why in our office locations we have open work environments with optional standing desks, soft drinks, gourmet coffee machines and fresh fruit to get your day going! Oh, and a patio balcony with BBQ’s for those days when the weather is behaving.

We believe in regular fun office events and monthly happy hours!

We offer flexible work hours and we are family friendly.