Department: Sales Location: Hyderabad Description The Senior Data Scientist (Strategy Post-Sales Data Science) is a senior individual contributor on Infor's Post-Sales Data Science team. This role is responsible for owning analytical workstreams end to end in close partnership with business stakeholders across various business functions. You will work on high-priority questions related to customer adoption, retention, expansion, and growth, translating strategic business problems into rigorous, actionable analysis. This is a role for someone who combines strong analytical and
technical skills
with the communication ability and business judgment to create measurable business impact with data-driven insights. A Typical Day In The Life Includes • Own data science workstreams end to end. Take business questions from initial scoping through data analysis, insight synthesis, and stakeholder communication. Manage day-to-day relationships with business partners. Develop exploratory insights, statistical models, and causal frameworks as appropriate. • Frame problems before solving them. Work with stakeholders to translate business objectives into clear analytical frameworks. Influence problem framing to ensure questions can be answered using data science. • Translate findings into decisions. Develop clear narratives and exec-facing presentations that connect analytical results to business decisions. Prioritize actionability and connection to business outcomes without sacrificing methodological transparency. • Collaborate across team on data foundation and DS practices. Work as part of a cohesive data science pod to share best practices, innovations and business/data knowledge. • Support turning insights into actions. Develop production-ready analytical scripts and contribute to collaborations with IT on deployment of insights into operational workflows.
Basic Qualifications
SaaS product or customer analytics background. Significant experience working on user/customer adoption, retention, engagement, or lifecycle analytics in a B2B SaaS or enterprise software environment. Comfort thinking in terms of cohorts, funnels, and behavioral metrics.
End-to-end analytical ownership. Demonstrated ability to independently own a full analytical project, from problem framing to data acquisition and preparation, analysis, and insight communication, all with minimal technical supervision.
Strong SQL and Python skills. Ability to independently explore and transform data, build analytical datasets, and implement statistical models. Comfort working in Snowflake.
Stakeholder-facing communication. Proven ability to present analytical findings to business stakeholders in a clear, compelling, and understandable way. Experience relating methodology to business narrative and clearly identifying recommended actions.
Statistical rigor. Solid grounding in statistical methods relevant to business analytics: regression modeling, segmentation, A/B testing, survival analysis, propensity modeling. Ability to explain methodological choices clearly and evaluate and articulate tradeoffs between approaches.
Preferred Qualifications
Customer Success domain experience. Prior work supporting or embedded within a Customer Success organization, or direct experience with adoption, churn, and expansion analytics.
Experience influencing business decisions with data. Examples of analytical work that demonstrably changed a business decision or drove a stakeholder to action that measurably impacted KPIs.
Data visualization and storytelling. Strong demonstrated instinct for visual communication of quantitative findings.
Experience with AI data science workflows. Comfort with using generative AI tools to accelerate data science workflows. About Infor Infor is where ambition meets impact. Join a global community of bold thinkers and innovators, where your expertise doesn't just solve problems. it shapes industries, unlocks opportunities, and creates real-world impact for billions of people. At Infor, you're not just building a career. you're helping to build what's next. Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. We have a relentless commitment to a culture based on PBM™. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section. Fraud Awareness We have been made aware of unauthorized individuals posing as Infor recruiters, including some who have made fraudulent offers of employment. Please read our guidelines and protect yourself from recruitment scams. Fraud Privacy Policy We value your privacy at Infor. You may access our privacy policy here. US Only This employer uses E-Verify. Please visit this website for additional information. E-Verify Illinois: Click here, aquí, or tu