Data Scientist - Hybrid - Outside IR35
We are seeking a highly analytical and business-minded Data Scientist to join our team. In this role, you will transform complex data into actionable insights, build predictive models, and partner with cross-functional stakeholders to drive strategic decision-making. You will work with large datasets, apply advanced statistical and machine learning techniques, and help shape data-driven initiatives across the organization.
Key Responsibilities-
Collect, clean, and analyze structured and unstructured datasets from multiple sources
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Develop and deploy predictive models and machine learning algorithms
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Design and conduct experiments (A/B testing, hypothesis testing) to inform product and business decisions
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Build data pipelines and automate workflows in collaboration with data engineering teams
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Communicate insights and recommendations clearly to technical and non-technical stakeholders
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Develop dashboards, visualizations, and reports to monitor key performance indicators
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Stay current with emerging data science techniques, tools, and industry best practices
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Ensure data quality, integrity, and governance standards are maintained
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Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related quantitative field
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2+ years of experience in data science, analytics, or a related role (adjust based on seniority)
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Strong proficiency in Python or R
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Experience with SQL and working with large datasets
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Solid understanding of statistics, probability, and machine learning concepts
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Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
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Ability to communicate complex analytical findings to diverse audiences
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Experience with cloud platforms (AWS, GCP, Azure)
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Familiarity with big data technologies (Spark, Hadoop)
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Experience deploying models into production environments
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Knowledge of deep learning frameworks (TensorFlow, PyTorch)
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Experience working in Agile or cross-functional product teams