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Senior Data Scientist (All Genders)
Vectorworks
ALLPLANHybrid7mo ago
- Employment
- Full-time
- Seniority
- Senior
About the role
- Build, validate, and deploy machine learning models to predict sales outcomes, customer churn, and revenue projections.
- Apply statistical analysis techniques to test hypotheses and measure the effectiveness of sales initiatives.
- Implement A/B testing frameworks to evaluate the impact of sales strategies and campaigns.
- Create comprehensive ML model monitoring dashboards that track prediction accuracy, data drift and feature stability.
- Collaborate with the Business Intelligence team to design and implement data science workflows within Fabric.
- Leverage Fabric's unified platform for machine learning lifecycle management, including data preparation, model training, deployment, and monitoring.
- Perform deep-dive sales performance analysis across regions, products, and sales teams to identify growth opportunities.
- Develop and maintain predictive models for sales forecasting using machine learning techniques including time series, analysis, regression models, and classification algorithms.
- Conduct comprehensive pipeline analysis including conversion rates, deal velocity, and stage progression analysis.
- Build interactive reports and dashboards in Power BI focused on key sales performance metrics and predictive insights.
- Develop advanced visual analytics that integrate AI insights and predictive model outputs (e.g., churn risk, lead scores).
- Partner closely with sales leadership, operations teams, and business stakeholders to understand their analytical needs and deliver actionable solutions.
- Translate complex technical findings into clear, compelling business narratives that drive strategic decisions.
- Present key findings and recommendations to sales leadership and senior management.
- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related quantitative field; Master's degree is a plus.
- 5-7 years of professional experience in data science, analytics, or related field, preferably in the software/SaaS environment.
- Hands-on experience developing, evaluating, and deploying machine learning models including predictive modeling, time series forecasting, and classification/regression algorithms.
- Advanced proficiency in Python (pandas, scikit-learn, TensorFlow/PyTorch) and strong SQL skills.
- Expertise in Power BI (or similar BI tools) for creating interactive dashboards and reports.
- Solid foundation in statistics and experimental design, including A/B testing, hypothesis testing, and predictive modeling.
- Familiarity with MLOps practices including model monitoring, deployment pipelines, and performance tracking; experience with Microsoft Fabric preferred.
- Understanding of B2B/SaaS sales processes, metrics (pipeline conversion, deal velocity, churn), and KPIs.
- Excellent communication skills with ability to translate complex analyses into actionable insights for stakeholders.
- Fluency in English required; German is a plus.
- Comprehensive onboarding and ongoing professional development to support your success and growth at ALLPLAN.
- Clear opportunities for career advancement within sales and other departments.
- A collaborative, innovative, and supportive team environment.
- Competitive compensation with performance-based incentives.
- Flexible work arrangements, including options for remote work.
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