Dein persönlicher KI-Karriere-Agent
Data Scientist Sales Data Hub(m/w/x)
Developing ML models for sales use cases with regression, classification, and time series analyses. Advanced analytics and Python/SQL skills required. Flexible hours, parent-child offices.
Anforderungen
- Solid experience in data science and advanced analytics
- Experience with regression, classification, and time series models
- Experience with ML and AI algorithms
- Very strong Python skills
- Very strong SQL skills
- Hands-on experience with Azure
- Hands-on experience with Snowflake
- Good understanding of sales processes
- Good understanding of CRM data
- Good understanding of key sales KPIs
- Experience transitioning PoC models to production
- Experience creating scalable solutions
- Ability to communicate complex modeling results clearly
- Audience-oriented data storytelling
- Strong analytical thinking
- Strong structured thinking
- High level of initiative
- Confident communication with sales stakeholders
- Confident communication with technical stakeholders
- Independent work
- Reliable work
- Strong focus on execution
- Strong focus on results
- Fluent German
- Fluent English
Aufgaben
- Apply and develop statistical models
- Further develop machine learning models
- Conduct regression and time series analyses
- Perform classification and clustering
- Address sales-related use cases
- Design data science solutions
- Develop AI solutions in Python and SQL
- Own solutions from concept to production
- Create analyses from large sales data sets
- Derive actionable recommendations
- Collaborate with data engineers
- Work with data analysts
- Develop KPIs and dashboards
- Create reporting solutions
- Translate complex results into data stories
- Ensure data quality
- Validate model inputs
- Align with data governance
- Identify optimization potential
- Discover new AI use cases
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Deutsch – fließend
- Englisch – fließend
Tools & Technologien
- Python
- SQL
- Azure
- Snowflake
- ML
- AI
Benefits
Gesundheits- & Fitnessangebote
- Company health management
Familienfreundlichkeit
- Parent-child offices
- Family-friendly working time models
Firmenfahrrad
- eBike leasing support
Flexibles Arbeiten
- Flexible working hours
- Hybrid work model
Sonstige Vorteile
- Modern learning environment
Noch nicht perfekt?
- DKV MobilityVollzeit/Teilzeitmit HomeofficeBerufserfahrenRatingen
- DKV Mobility
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Senior Data Scientist(m/w/x)
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Data Scientist Sales Data Hub(m/w/x)
Developing ML models for sales use cases with regression, classification, and time series analyses. Advanced analytics and Python/SQL skills required. Flexible hours, parent-child offices.
Anforderungen
- Solid experience in data science and advanced analytics
- Experience with regression, classification, and time series models
- Experience with ML and AI algorithms
- Very strong Python skills
- Very strong SQL skills
- Hands-on experience with Azure
- Hands-on experience with Snowflake
- Good understanding of sales processes
- Good understanding of CRM data
- Good understanding of key sales KPIs
- Experience transitioning PoC models to production
- Experience creating scalable solutions
- Ability to communicate complex modeling results clearly
- Audience-oriented data storytelling
- Strong analytical thinking
- Strong structured thinking
- High level of initiative
- Confident communication with sales stakeholders
- Confident communication with technical stakeholders
- Independent work
- Reliable work
- Strong focus on execution
- Strong focus on results
- Fluent German
- Fluent English
Aufgaben
- Apply and develop statistical models
- Further develop machine learning models
- Conduct regression and time series analyses
- Perform classification and clustering
- Address sales-related use cases
- Design data science solutions
- Develop AI solutions in Python and SQL
- Own solutions from concept to production
- Create analyses from large sales data sets
- Derive actionable recommendations
- Collaborate with data engineers
- Work with data analysts
- Develop KPIs and dashboards
- Create reporting solutions
- Translate complex results into data stories
- Ensure data quality
- Validate model inputs
- Align with data governance
- Identify optimization potential
- Discover new AI use cases
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Deutsch – fließend
- Englisch – fließend
Tools & Technologien
- Python
- SQL
- Azure
- Snowflake
- ML
- AI
Benefits
Gesundheits- & Fitnessangebote
- Company health management
Familienfreundlichkeit
- Parent-child offices
- Family-friendly working time models
Firmenfahrrad
- eBike leasing support
Flexibles Arbeiten
- Flexible working hours
- Hybrid work model
Sonstige Vorteile
- Modern learning environment
Über das Unternehmen
DKV Mobility
Branche
Transportation
Beschreibung
The company is part of a leading European B2B platform for on-the-road payment solutions, committed to a sustainable future of mobility.
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