Overview
A leading innovator in life sciences and speciality chemicals, providing cutting-edge solutions for research, diagnostics, and industrial applications. We leverage data-driven insights to accelerate product innovation, optimize processes, and deliver measurable impact for our clients globally.
Role Overview:
We are seeking a highly skilled Data Scientist to join our analytics team. This role will focus on designing and implementing predictive models, performing advanced data analysis, and uncovering insights that directly influence product development and business strategy. You will collaborate closely with R&D, operations, and business teams to drive actionable outcomes.
Key Responsibilities:
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Develop predictive and prescriptive models to solve complex business problems.
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Analyze large, structured and unstructured datasets to generate actionable insights.
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Collaborate with cross-functional teams to integrate data-driven solutions into business processes.
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Build and maintain dashboards and visualizations for decision-making.
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Optimize machine learning pipelines for production-scale deployment.
Tech Stack / Requirements:
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Programming: Python, R, SQL
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Machine Learning: scikit-learn, TensorFlow / PyTorch
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Data Engineering: Spark, Hadoop (optional but preferred)
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Visualization: Power BI, Tableau, or Plotly
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Cloud: AWS or Azure
Qualifications:
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5–8 years of experience in Data Science / Analytics.
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Strong statistical modeling, machine learning, and data visualization skills.
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Experience with large-scale data processing and cloud deployment.
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Strong problem-solving skills and ability to work independently.
Why work with us:
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Work on high-impact projects in the life sciences and chemical sectors.
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Exposure to advanced analytics, machine learning, and cloud-based data solutions.
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Opportunity to influence strategic decisions and drive measurable business outcomes.
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Supportive environment for career growth, skill expansion, and cross-functional collaboration.