Deltek · 21 hours ago
Associate Data Science Specialist
Deltek is the recognized global standard for project-based businesses, delivering software and information solutions. The Associate Data Science Specialist will play a critical role in establishing the company's first internal data science capability, focusing on discovering predictive analytics opportunities and creating a roadmap for the data science function.
ConsultingEnterprise SoftwareInformation TechnologySoftware
Responsibilities
Conduct stakeholder interviews across business units (Sales, Customer Success, Product, Marketing) to identify existing predictive analytics efforts, pain points, and opportunities
Document data requirements for analytics use cases: what history is needed, training cadence, scoring frequency, user groups, success metrics
Map existing analytical workflows and identify where machine learning could augment or replace current approaches
Assess data readiness for common SaaS use cases: customer health scoring, churn prediction, upsell/cross-sell propensity, lead scoring
Translate business problems into data science requirements and technical constraints into business language
Perform exploratory data analysis to assess data quality and readiness for modeling
Conduct statistical analyses to validate business hypotheses and quantify relationships in customer data
Analyze customer behavior patterns across the SaaS lifecycle (onboarding, adoption, expansion, renewal)
Contribute to our Snowflake data platform design with data science use cases in mind
Document findings, insights, and recommendations in clear, accessible formats for diverse audiences
Create presentations and visualizations that make analytical findings accessible to technical and non-technical stakeholders
Explain data science concepts, potential use cases, and limitations to business leaders
Facilitate discussions between business stakeholders and technical teams to align on priorities and approach
Build organizational understanding of what data science can and cannot do in a B2B SaaS context
Present discovery findings and recommendations to leadership
Qualification
Required
Bachelor's or Master's degree in Data Science, Statistics, Analytics, Business, Computer Science, or related quantitative field
Solid understanding of machine learning concepts: supervised/unsupervised learning, model evaluation, feature engineering, training vs. scoring
Understanding of statistical analysis fundamentals: hypothesis testing, correlation, regression, confidence intervals
SQL experience with the ability to write queries for data exploration and analysis
Strong communication skills to explain technical concepts to non-technical audiences and business problems to technical teams
Demonstrated ability to work effectively across teams and business units, building relationships with diverse stakeholders
Intellectual curiosity and comfort with ambiguity in a greenfield environment
Analytical mindset with the ability to break down complex problems and evaluate solution approaches
Strong listening skills to understand stakeholder needs and translate them into requirements
US Citizenship is required for this position
Preferred
Exposure to enterprise data warehouses or cloud data platforms (Snowflake, BigQuery, Redshift)
Experience with B2B SaaS analytics, customer health scoring, churn prediction, or subscription business metrics
Understanding of SaaS business metrics (ARR, MRR, churn, NRR, customer lifetime value)
Familiarity with the SaaS customer lifecycle (acquisition, onboarding, adoption, expansion, renewal)
Understanding of dimensional modeling or data warehouse design
Previous consulting, business analysis, or stakeholder management experience
Experience working with business intelligence tools like Power BI or Tableau
Background in product analytics or customer analytics
Benefits
Healthcare benefits
A 401(k) plan and company match
Paid vacation time and holidays
Well-living programs
Short-term and long-term disability coverage
Basic life insurance
Tuition reimbursement
Company
Deltek
Deltek is an enterprise software and information solutions provider for professional services firms and government contractors.
Funding
Current Stage
Public CompanyTotal Funding
$2M2016-12-06Acquired
2012-01-01Private Equity
2009-12-11Post Ipo Equity· $2M
Leadership Team
Recent News
Washington Technology
2026-01-22
2025-12-10
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