Data Scientist – Savings Analytics (all genders)

Savify AG; United States; Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Bonus

Offsites

Job summary

Savify AG is seeking a data analytics professional to turn spend data into negotiation insights. You will produce rapid Quick Scan assessments, analyze volume bundling, validate savings baselines, and build dashboards for customers and management.

You will collaborate with Savings Controlling, communicate with non-technical stakeholders, and report to the Head of AI in a hybrid remote setup across the DACH region.

Qualifications

• 2+ years of data science or analytics experience.
• Proficiency in Python or R and SQL.
• Strong communication with non-technical stakeholders. German (C1) and English.

Responsibilities

• Produce Quick Scan assessments for new customers within 48 hours.
• Analyse volume bundling across customers.
• Validate savings, baselines and price-versus-volume effects with Savings Controlling.
• Build customer and management dashboards.
• Support ongoing negotiations with ad hoc analysis.

Skills

Python

R

SQL

Power BI

Tableau

German (C1)

English (good)

Statistics

Data analysis

Communication

Tools

Power BI

Tableau

SQL

Job description

Turn spend data into negotiation insight through opportunity assessments, bundling scenarios and defensible savings evidence.

Your responsibilities

• Produce Quick Scan assessments for new customers within 48 hours
• Analyse volume bundling across customers
• Validate savings, baselines and price-versus-volume effects with Savings Controlling
• Build customer and management dashboards
• Support ongoing negotiations with ad hoc analysis

Your profile

• 2+ years of data science or analytics
• Python or R, SQL, statistics and a BI tool such as Power BI or Tableau
• Ability to communicate with non-technical stakeholders
• German C1 and good English

Nice to have

• Procurement, controlling or consulting experience; advanced Excel modelling.

Responsibility and collaboration

• Professional; no line-management responsibility; reports to Head of AI.

Your goals for the first six months

• A standardised Quick Scan and a documented baseline methodology accepted by customers.

What we offer

• Analysis that directly informs negotiations, a steep learning curve, bonus and offsites.

Working conditions

• DACH
• Full-time
• Remote/hybrid
• Employer: Savify AG
• Working model: Remote/hybrid
• Working hours: Full-time
• Contract: Employment
• Term: Permanent
• Start: As soon as possible
• Travel: Under 10%