
Chief Data Insights Leader
3 hours ago
We are seeking a Chief Data Insights Leader to spearhead end-to-end initiatives, drive business value, and support pre-sales activities.
About the RoleThe successful candidate will be responsible for leading business-focused data science projects from strategy to operations. This includes analyzing and interpreting findings, drawing conclusions and recommendations, and collaborating with stakeholders to implement solutions.
- Develop and execute comprehensive business strategies leveraging data-driven insights
- Analyze complex data sets, identify patterns, and provide actionable recommendations
- Leverage machine learning concepts to develop predictive models and drive business growth
- Collaborate with cross-functional teams to design and implement data-driven solutions
To succeed in this role, you will need:
- Fluency in Python, working knowledge of SQL, and experience with vector databases
- Strong understanding of machine learning concepts, particularly Generative AI (LLM/LMM) with focus on Natural Language Processing (NLP)
- Familiarity with specific DS/ML/CVGenAI/NLP libraries such as NumPy, Keras, TensorFlow, PyTorch, HuggingFace, LangChain, and GenAI APIs
- Expertise in Azure cloud resources, Databricks, Docker for containerization, and strong business acumen
As a valued member of our team, you can expect:
- Stable employment and 100% remote work
- Flexibility regarding working hours and comprehensive online onboarding program
- Cooperation with top-tier engineers and experts, unlimited access to Udemy learning platform, and certificate training programs
- Upskilling support, autonomy to choose work style, and opportunities to donate to charities and support the environment
We are a global data services partner that helps clients realize the full value of their data. We have been recognized for innovation, technology excellence, and highest-quality data services since 2008.
We focus on leveraging data, analytics, and AI technologies to extract insights, build predictive models, and develop AI-powered solutions using Exploratory Data Analysis, Statistical Modeling, and Machine Learning.
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