Required skills
- Data Science
- Marketing
- Customer Strategy
- Predictive Modeling
- Machine Learning
- Statistical Modeling
- Regression
- Classification
- Forecasting
- A/B Testing
- Causal Inference
- Python
- Pandas
- Scikit-learn
- Statsmodels
- SQL
Nice to have:CRMSnowflakeAWS SageMakerDockerCI/CDGitLabMLOps
Languages: Dutch
Job description
Seeking an interim Marketing Data Scientist to bridge data science, marketing, and customer strategy. The role involves developing predictive models for customer behavior and translating business needs into data-driven solutions.
Project overview
As an interim marketing data scientist, you will work at the intersection of data science, marketing, and customer strategy for an international client.
Profile of the suited interim professional:
- Contribute to the ideation of new data science applications for marketing and customer strategy
- Align with Marketing, Data, Machine Learning Engineering, and other stakeholders
- Develop and implement predictive models for customer behavior, customer retention, and customer value
- Apply statistical and machine learning techniques such as regression, classification, forecasting, A/B testing, and causal inference
- Translate marketing and business challenges into concrete data science solutions
- Work with large customer and marketing datasets, including data exploration and feature engineering
- Take responsibility for the entire model lifecycle, from development to production
- Ensure automated, tested, scalable, and reliable solutions
- Translate complex analyses into clear insights and advice for the business
- 4 to 6 years of experience as a data scientist, preferably within marketing, customer data, or CRM
- Demonstrable experience in developing models, from idea to production environment
- Good knowledge of statistical modeling and machine learning, such as regression and classification
- Experience with A/B testing, forecasting, and/or causal inference
- Excellent proficiency in Python, including Pandas, Scikit-learn, and Statsmodels
- Strong SQL skills and experience with large datasets
- Experience with Snowflake is a plus
- Experience with bringing models into production, preferably with AWS SageMaker, Docker, CI/CD, and GitLab
- Knowledge of MLOps principles for reliable production environments
- Strong stakeholder management and communication skills towards technical and non-technical parties
- Strong analytical skills with an eye for the broader business context
- Independent, proactive, and results-oriented work attitude as an interim professional
Project details
- Start: flexible
- Duration: 5 months
- Location: Amsterdam, North-Holland, South-Holland, NL
- Languages: Dutch
Indexed by 9am's meta-search. You are a job provider? Claim or manage this listing
Found on planetinterim.com