Contractor mentor role supporting learners in Udacity's School of Data. Requires 5+ years of relevant technical experience and proficiency in Python and/or SQL, data analysis and modeling, ETL and data pipelines, data visualization tools (e.g., Pandas, NumPy, Tableau/Power BI), and familiarity with databases and data warehousing. Responsibilities include 1:1 mentoring, technical deep-dive presentations, and group Q&A sessions.

Join Veeva's Crossix Client Analytics Services as a Senior Associate to manage post-sale delivery, lead client and agency meetings, interpret data via the Crossix Measurement Suite, and drive on-time, high-quality analytics deliverables. Requires 3+ years in an analytical, customer-facing role and willingness to travel to customer meetings; experience in life sciences marketing analytics and Crossix is a plus.

Manage analytical service operations for mortgage and tenant screening businesses across the US, leading a team of data scientist consultants. Design and develop software and statistical/predictive scoring models (regression, classification, decision trees), use SQL and visualization tools (Tableau, Spotfire), and provide training and mentorship to direct reports.

Work on analyzing telemetry and workload data from GPU-accelerated clusters to identify platform and application improvement opportunities, produce visualizations and lightweight ML/DL implementations, and communicate findings to engineers and leadership. Requires 5+ years analyzing complex datasets, strong Python and JavaScript skills, and hands-on experience with telemetry/observability stacks (e.g., Grafana, Elasticsearch, Splunk).

Responsible for owning payroll implementations from requirements gathering through configuration, testing, and handoff. Requires 4+ years of experience with payroll integrations, proficiency in Excel and industry-standard payroll file formats, familiarity with XML/XSL, VBS/JavaScript/SQL/Access, and strong communication, documentation, and project-management skills. Remote role for United States-based candidates.

Join Veeva as a Consultant in the Global Analytics Practice to analyze patient-level claims and other real-world datasets, convert data into insights (market sizing, patient journeys, line of therapy, referral patterns), lead project workstreams end-to-end, mentor associate consultants, and support business development. Requirements include 3+ years in life sciences consulting, proficiency in SQL, and experience with RWD/RWE across the product lifecycle.

The role leads analytics-focused consulting workstreams for Life Sciences customers, leveraging Veeva data and software to drive segmentation, targeting, call planning, forecasting, and field deployment. Requires 3+ years in Life Sciences consulting, proficiency in SQL, strong analytical and communication skills, and a Bachelor's degree; Python and Veeva product knowledge are nice-to-have.

Lead small analytics projects and teams to deliver data- and AI-driven solutions for Life Sciences customers. Requires 5+ years in Life Sciences consulting, strong SQL skills, domain knowledge of claims/engagement/reference data and analytics use cases (segmentation, targeting, call planning, forecasting), and experience communicating with senior stakeholders.

Veeva Master Class hires early-career professionals into Business Consultant roles focused on Life Sciences analytics. Candidates (3+ years experience or advanced degree/veterans) will support customer engagements, perform data analysis using tools like SQL/Python, run workshops and stakeholder interviews, and help design operating models and process improvements. Role is US-based (Boston) with up to 20% travel, remote-flexible work, starts April 2027; Veeva does not sponsor employment visas. Starting salary listed at $130,000.

Hands-on role to design, prototype, and productionize machine learning and graph-analytics solutions for fraud and AML use cases. Responsibilities include metrics definition and tracking, EDA and cohort analysis, dashboard automation, and close client-facing collaboration. Requires 7+ years in data science or related quantitative roles with strong Python/R and SQL experience and familiarity with BI tools (Tableau, Sigma, Metabase).

Contract role on Fueled’s Digital Growth Strategy team. Drive SEO and AI search strategies, translate technical, content, and structured data insights into prioritized optimization roadmaps, and design measurement and experimentation approaches that connect search and content performance to business outcomes. Use GA4, GTM, SEO audit tools and visualization tools to produce actionable insights across enterprise and ongoing client engagements. Remote; open to applicants located anywhere in the United States.