Senior Data Science Consultant
Spring in Africa - Amsterdam, NH, Netherlands
Posted Jun 12, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
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- Salary
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Data Science Consultant Amsterdam, NH, Netherlands Company Description: Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We're optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Job Description: To support its development, Sia is recruiting senior consultants within its data science team whose vocation will be to take charge, in synergy with our different practices, of the work and missions requiring the implementation of complex models. to support our clients in their issues related to: Machine learning and statistics : development of explanatory and predictive decision support models (supervised and unsupervised learning algorithms, econometrics, forecasting, quantitative diagnosis, etc.) Operational research : design and implementation of optimization solutions under constraints and simulation models Big Data : algorithmic knowledge for processing large volumes of unstructured data As part of your operational interventions, and your contributions to the internal development of the firm, you: Develop and strengthen our offers through training, working groups, dissemination of internal and external media Participate in the firm's influence by actively contributing to the publication plan (articles, studies, etc.), and represent the firm
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