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Data Scientist- (Senior)- Remote

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Date: Jul 30, 2022

Location: San Jose, CA, US, 95134 Evanston, IL, US, 60201 Blacksburg, VA, US, 24060 Beltsville, MD, US, 20805 Austin, TX, US, 78746 Irvine, CA, US, 92602 Colorado Springs, CO, US, 80920 Canonsburg, PA, US, 15317 Houston, TX, US, 77094 Boulder, CO, US, 80301 Ann Arbor, MI, US, 48108 Atlanta, GA, US, 30324

Company: Ansys

Ansys is the global leader in engineering simulation, helping the world's most innovative companies deliver radically better products to their customers. By offering the best and broadest portfolio of engineering simulation software, Ansys helps companies solve the most complex design challenges and engineer products limited only by imagination.


Summary / Role Purpose


The Data Scientist within GTM is responsible to 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, and Revenue forecasting.


This position will leverage the vast amounts of internal and external market and customer data relevant to the Go-to-Market (GTM) organization to build Data-Science and Machine Learning (DSML) models that bring transformative insights to the business – while identifying opportunities to increase revenue, improve sales productivity and drive resource efficiency.


Key Duties and Responsibilities

  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
  • Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Build and prototype analysis pipelines iteratively to provide insights at scale.
  • Develop comprehensive knowledge of Ansys data structures and GTM metrics
  • 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

  • Education: 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 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 database (SNOWFLAKE, SFDC, Oracle, Siebel) and external data source (DnB, Capital IQ and etc), and design of ETL flows.
  • 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)
  • MS/PhD in a quantitative field from a top tier school


Culture and values are incredibly important to Ansys. They inform us of who we are, of how we act. Values aren't posters hanging on a wall or about trite or glib slogans. They aren't about rules and regulations. They can't just be handed down the organization. They are shared beliefs – guideposts that we all follow when we're facing a challenge or a decision. Our values tell us how we live our lives; how we approach our jobs. Our values are crucial for fostering a culture of winning for our company:

  • Customer focus
  • Results and Accountability
  • Innovation
  • Transparency and Integrity
  • Mastery
  • Inclusiveness
  • Sense of urgency
  • Collaboration and Teamwork

At Ansys, you will find yourself among the sharpest minds and most visionary of leaders, collectively aiming to change the world with innovative technology and remarkable solutions.  With the prestigious reputation in servicing 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.  Because 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”.  It’s about the melding of disciplined intellect with strategic direction and results that have, can and will impact real people in real ways, forged within a working environment built on respect, autonomy and ethics.
At Ansys, you will find yourself among those eager to drive the world towards the next best thing with hands planted firmly on the wheel.
Our team is passionate about pushing the limits of world-class simulation technology so our customers can turn their design concepts into successful, innovative products faster and at lower cost.  As a measure of our success in attaining these goals, Ansys has been recognized as one of the world's most innovative companies by prestigious publications such as Bloomberg Businessweek and FORTUNE magazines.
Ansys is an S&P 500 company and a component of the NASDAQ-100.
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.

Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto