Join Valtech, the global experience innovation company helping top brands like L’Oréal, Mars, and Audi transform their digital future. We’re seeking a Senior Data Scientist who thrives at the intersection of data, AI, and creativity—someone who can turn complex datasets into actionable insights that shape next-generation customer experiences. At Valtech, you’ll collaborate with global teams, innovate across industries, and grow within a culture built on curiosity, collaboration, and continuous learning.
About the Role
As a Senior Data Scientist at Valtech, you’ll develop advanced machine learning models and data-driven solutions that power digital transformation for global clients. You’ll work hands-on with tools like Python, PySpark, and Databricks, contributing to scalable data pipelines, predictive analytics, and AI-enabled business intelligence. This is your opportunity to make measurable impact while growing in an environment that values creativity, diversity, and professional excellence.
Key Responsibilities
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Develop and implement machine learning models for time-series forecasting and supply-chain optimization using Databricks.
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Conduct root-cause analyses of production issues and optimize existing model performance.
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Engineer and maintain data pipelines using Databricks Lakeflow, Azure Data Factory, and related cloud tools.
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Write and maintain clean, testable Python and PySpark code with GitHub-based CI/CD workflows.
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Design interactive dashboards and visual analytics using Tableau, Power BI, or modern visualization libraries.
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Partner with stakeholders to define KPIs, conduct deep-dive analyses, and deliver actionable business insights.
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Contribute to the architecture of scalable cloud-based data solutions and infrastructure.
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Lead technical discussions, manage project timelines, and mentor junior team members.
Required Qualifications
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Master’s or PhD in Statistics, Computer Science, Mathematics, Engineering, or related field.
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5+ years of professional experience in data science, analytics, or ML engineering.
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Proven expertise in Python, PySpark, and SQL from ingestion to insight.
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Strong understanding of machine learning and statistical modeling for real-world business applications.
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Experience with Databricks and familiarity with Databricks Lakeflow orchestration.
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Proficiency in Git, GitHub, and CI/CD pipelines for collaborative code management.
Preferred Qualifications
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Experience in open-source contributions or developing packaged software libraries.
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Familiarity with data visualization libraries (matplotlib, seaborn, Streamlit, Bokeh, or D3.js).
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Experience with cloud platforms (AWS, Azure, or GCP) and big data ecosystems (Spark, Hive, Unity Catalog).
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Exposure to data pipeline orchestration tools such as Airflow, Luigi, or Prefect.
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Experience leading or managing data and AI projects in cross-functional environments.
Why You’ll Love Working at Valtech
At Valtech, we believe innovation happens when people from diverse backgrounds share ideas and push boundaries together. You’ll find a supportive culture that embraces curiosity, collaboration, and autonomy—plus the freedom to explore new technologies and make a lasting impact.
We’re proud of:
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Our values of Share, Care, and Dare.
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A global, borderless work culture with endless collaboration opportunities.
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A commitment to diversity, equity, and inclusion that empowers every voice.
Compensation and Benefits
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Salary range: $92,000–$160,000 per year (based on experience and location).
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Remote or hybrid flexibility (country-dependent).
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Career advancement with international mobility and professional development programs.
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Continuous learning and certification support through access to leading tools and training.
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Competitive benefits tailored to your location, shared during the hiring process.
About Valtech
Valtech is a global experience innovation company that helps organizations unlock new value by combining data, AI, creativity, and technology. Our teams collaborate across continents to deliver transformative digital experiences for leading brands. At Valtech, transformation isn’t just an idea—it’s what we do every day.