Senior Data Scientist (All Genders)

KEY Responsibilities

Data Science & Modeling

• 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​.

Advanced Sales Analytics & Reporting

• 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).

Collaboration & Stakeholder Management

• 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.

Requirements

• 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.

What WE Offer

• 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.

• Minimum salary for this position is 2 800€. Final compensation depends on the candidate's profile and skills, experience, and interview performance. This position also has an additional variable component.

• #Allplan

• #LI-LT1

• Ready to apply?

• Powered by

• 

• First name *

• Last name *

• Email *

• LinkedIn URL

• Phone number *

• Location *

• Resume *

• Click to upload or drag and drop here

• Please indicate your desired annual salary *

• Will you now or in the future require sponsorship for employment visa status? *

• Yes

• No

• I have disclosed all information that is relevant and should be considered applicable to my candidacy for employment. *

• I understand, where permissible under applicable state and local law, I will be subject to a pre-employment background check after receiving a conditional offer of employment to investigate my criminal background and other matters related to my suitability for employment.

• Initial

• I hereby certify that all of the above information is true and complete, and I understand that any falsification or omission of information may disqualify me from further consideration for employment or, if hired, may result in termination regardless of the time elapsed before discovery. *

By filling in the bullet below you are applying your signature and you agree to this Applicant Statement. I AGREE, AND IT IS MY INTENT, TO SIGN THIS EMPLOYMENT APPLICATION BY CHECKING THE "SIGNATURE" BOX BELOW AND BY ELECTRONICALLY SUBMITTING THIS DOCUMENT TO Nemetschek Group and all its subsidiaries, I UNDERSTAND THAT MY SIGNING AND SUBMITTING THIS DOCUMENT IN THIS FASHION IS THE LEGAL EQUIVALENT OF HAVING PLACED MY HANDWRITTEN SIGNATURE ON THE SUBMITTED DOCUMENT.

Signature

Are you legally authorized to work in the country where this position is posted? *

Yes

No

What is your notice period with your current employer? *

2 weeks

1 month

2 months

3 months

Do you have at least C1 level proficiency in English? *

Yes

No

By applying you agree to Gem's terms and privacy policy.

Save your info to apply to other roles faster & help employers reach you.

Apply and saveApply without saving

Req ID: R70