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Senior Data Scientist - GTM

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Date: May 8, 2023

Location: Milan, IT, 20124 Montigny le Bretonneux, FR, 78180 Madrid, M, ES, 28020 Chalandri, GR, 15231

Company: Ansys

When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys.


Take a leap of certainty … with Ansys.


Summary / Role Purpose


As a Senior or Lead Data Scientist on our Go-to-Market (GTM) team, you will leverage vast amounts of internal and external market and customer data to build transformative Data-Science and Machine Learning (DSML) models. These models will provide critical insights to the business, identifying opportunities to increase revenue, improve sales productivity, and drive resource efficiency.


As a Senior or Lead Data Scientist within GTM, you will refine business questions, identify the appropriate data sources, extract data, conduct quantitative analyses, define actionable metrics, synthesize information, and present insights to support GTM teams.


The incumbent will use the whole range of data science tools and capabilities to build out the following use-cases (and more):


  • Customer Segmentation
  • Territory Design
  • Lead Scoring
  • Propensity to buy
  • Cross-sell and Upsell
  • Resource optimization models
  • Revenue forecasting
  • Product Recommendations


Key Duties and Responsibilities

  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
  • Conduct systematical data analyses that include data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Build and prototype end-to-end data workflows and data analysis pipelines iteratively to provide data insights at scale, leveraging Machine Learning and AI as needed.
  • Develop comprehensive knowledge of Ansys data structures and GTM metrics.
  • Create Business Intelligence dashboards, data visualizations (e.g., leveraging PowerBI or Tableau) and presentations that provide clear insights and predictions on KPIs for executive leadership.
  • Interact cross-functionally, making business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information

Minimum Education/Certification Requirements and Experience

  • Bachelor’s Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical discipline
  • 5+ years of relevant experience developing/testing/scaling complex ML solutions.
  • Strong programming skills using Python.
  • Experience with connecting different APIs to build end-to-end data flows.
  • Strong ability to take an ambiguous business problem and develop a full-fledged ML/DS solution to solve it
  • Experience in data mining process, AI/ML techniques for market research, sales forecast, revenue prediction and customer purchase behavior modelling
  • Experience in scripting with SQL, extracting large sets of data from internal databases (SNOWFLAKE, SFDC, Oracle, Siebel) and external data sources (DnB, Capital IQ etc.), and design of ETL flows.
  • Experience in creating dashboard with PowerBI or Tableau.
  • Deep interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics, and program evaluation.
  • Demonstrated ability to work across multiple stakeholder groups

Preferred Qualifications and Skills

  • Experience in a high-tech, software, SaaS company
  • Experience working with statistical packages (e.g., Excel VBA, R, SAS, Stata, MATLAB, etc.)
  • Experience in advanced programing tools (e.g., Alteryx, Python, TensorFlow)
  • Experience with Machine Learning APIs from public cloud vendors (e.g., Azure, AWS, Google)
  • MS/PhD in a quantitative field from a top tier school


At Ansys, we know that changing the world takes vision, skill, and each other. We fuel new ideas, build relationships, and help each other realize our greatest potential in the knowledge that every day is an opportunity to observe, teach, inspire, and be inspired. Together as One Ansys, we are powering innovation that drives human advancement.


Our Commitments:

  • Amaze with innovative products and solutions
  • Make our customers incredibly successful
  • Act with integrity
  • Ensure employees thrive and shareholders prosper

Our Values:

  • Adaptability: Be open, welcome what’s next
  • Courage: Be courageous, move forward passionately
  • Generosity: Be generous, share, listen, serve
  • Authenticity: Be you, make us stronger


Our Actions:

  • We commit to audacious goals
  • We work seamlessly as a team
  • We demonstrate mastery
  • We deliver outstanding results


We believe diverse thinking leads to better outcomes. We are committed to creating and nurturing a workplace that fuels this by welcoming people, no matter their background, identity, or experience, to a workplace where they are valued and where diversity, inclusion, equity, and belonging thrive.


At Ansys, you will find yourself among the sharpest minds and most visionary leaders across the globe. Collectively we strive to change the world with innovative technology and transformational solutions. With a prestigious reputation in working with well-known, world-class companies, standards at Ansys are high – met by those willing to rise to the occasion and meet those challenges head on. Our team is passionate about pushing the limits of world-class simulation technology, empowering our customers to turn their design concepts into successful, innovative products faster and at a lower cost.


At Ansys, it’s about the learning, the discovery, and the collaboration. It’s about the “what’s next” as much as the “mission accomplished.” And it’s about the melding of disciplined intellect with strategic direction and results that have, can, and do impact real people in real ways. All this is forged within a working environment built on respect, autonomy, and ethics.

Ansys is an S&P 500 company and a member of the NASDAQ-100. We are proud to have been recognized for the following more recent awards, although our list goes on: America’s Most Loved Workplaces, Gold Stevie Award Winner, America’s Most Responsible Companies, Fast Company World Changing Ideas, Great Place to Work Certified (China, Greece, France, India, Japan, Korea, Spain, Sweden, Taiwan, U.K.).

For more information, please visit us at

Ansys is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics.
Ansys does not accept unsolicited referrals for vacancies, and any unsolicited referral will become the property of Ansys. Upon hire, no fee will be owed to the agency, person, or entity.