Highlights
Innovative projects, advanced analytics, global collaboration support.
Description
Job Summary
pThe Associate Data Scientist, Digital & Transformation will work with a multidisciplinary team to develop innovative data-driven solutions. This role focuses on applying advanced analytics and machine learning techniques to solve complex business challenges.
Responsibilities
- Apply statistical, machine learning, and Generative AI techniques to address strategic business problems.
- Retrieve, clean, and prepare structured, semi-structured, and unstructured data from various sources.
- Contribute to the development of scalable, automated processes for data analysis and model validation.
- Create data-driven insights, dashboards, and visualizations for stakeholder communication.
- Collaborate with internal experts to operationalize AI solutions.
Required Skills
- Python
- Data Manipulation
- Machine Learning
- Agentic AI Frameworks
- Jupyter Notebooks
Required Skills Explained
- Proficiency in Python for data manipulation and scripting.
- Experience with machine learning frameworks like Scikit-learn, TensorFlow, and PyTorch.
- Familiarity with agentic AI frameworks such as LangGraph and OpenAI Agents.
- Solid understanding of statistical methods including regression, hypothesis testing, and probability distributions.
- Experience with Jupyter notebooks and Anaconda environments for experimentation and workflow management.
- Basic knowledge of distributed systems, scalable computing approaches, and containerization like Docker.
- Familiarity with cloud platforms such as Azure or AWS and their AI services.
- Understanding of web services, microservices, and REST APIs.
- Basic knowledge of BI/visualization tools like Power BI or Microsoft Fabric.
- Experience in computer vision techniques.
Who is this for
pThis role is ideal for individuals with a strong background in data science and machine learning, seeking to contribute to the development of innovative digital solutions. Strong analytical skills and experience working in agile environments are essential.
Why This Job is a Good Opportunity
ulliOpportunity to work on innovative data-driven analytical products and solutions that can drive measurable business outcomes.liPotential to collaborate with a multidisciplinary team, fostering cross-functional learning and expertise sharing.liAccess to cutting-edge tools and technologies including AI-assisted coding and emerging Generative AI techniques.liChance to contribute to the development of scalable processes that can enhance data analysis and model deployment.liPromising career growth in a dynamic field with increasing demand for skilled professionals.
Interview Preparation Tips
- Revise your understanding of Python, machine learning frameworks like Scikit-learn, TensorFlow, and PyTorch.
- Prepare examples of projects or work where you used data manipulation techniques, machine learning models, or AI tools.
- Be ready to discuss your experience with Jupyter notebooks and any other experimentation environments you have used.
- Talk about your understanding of statistical methods and how they apply to real-world problems.
- Discuss your familiarity with cloud platforms like Azure or AWS and related AI services.
Career Growth in This Role
pAs an Associate Data Scientist, Digital & Transformation, you can expect a robust career growth path. With the increasing demand for data-driven solutions, there is ample opportunity to specialize further in areas such as machine learning, AI, or specific industries. The role provides exposure to innovative technologies and methodologies, allowing you to stay at the forefront of advancements in the field. Additionally, collaboration with cross-functional teams can help broaden your skill set and open doors to leadership roles within data science.
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Skills
Frequently Asked Questions
What kind of data sources will I be working with?You will work with structured, semi-structured, and unstructured data from diverse sources.
Is experience with cloud platforms required?While not mandatory, experience with cloud platforms like Azure or AWS is preferred.
What are the hours of work?The role involves working in a 12:00 PM – 9:00 PM shift for global collaboration support.
