Data Scientist
KeySkills
Job Description
Job Description:
We are seeking an Associate Data Scientist to work with IBM clients on AI, machine learning, and predictive analytics projects. You will leverage open-source tools like Python, R, TensorFlow, and IBM AI application suites to analyze data, build models, and provide actionable insights. The role involves developing POCs, validating models, and collaborating with cross-functional teams to deliver innovative AI solutions.
Education Requirement: Bachelor?s Degree (Preferred: Master?s Degree)
Responsibilities:
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Develop and validate predictive and prescriptive models using big data and machine learning techniques.
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Prepare, cleanse, and integrate data efficiently to support modeling and analysis.
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Build and maintain statistical models to provide insights and predict emerging trends.
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Develop Proof of Concepts (POCs) to demonstrate feasibility and effectiveness of AI solutions.
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Collaborate with development teams to implement and iterate on POCs, ensuring alignment with client requirements.
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Assist in showcasing Gen AI code assistant capabilities, such as refactoring or translating code (e.g., COBOL to Java).
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Document solution architectures, design decisions, implementation details, and lessons learned.
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Create technical documentation, white papers, and best practice guides.
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Communicate modeling results to technical and non-technical audiences.
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Work in Agile, collaborative environments alongside scientists, engineers, consultants, and DBAs.
Skills Required:
Core Technical Skills
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Proficiency in Python and AI/ML frameworks: TensorFlow, PyTorch, Keras, Hugging Face.
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Experience with data science libraries: SciKit Learn, Pandas, Matplotlib, etc.
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Strong understanding of data preparation, integration, and analysis techniques.
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Experience in developing and validating predictive, prescriptive, and statistical models.
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Familiarity with cloud platforms for AI/ML workloads.
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Ability to document technical designs, architectures, and best practices.
Preferred / Good to Have:
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Experience in COBOL and Java for code refactoring or migration.
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Knowledge of Gen AI code assistants and rapid prototyping of AI solutions.
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Hands-on experience creating POCs and prototypes for client solutions.
Professional Skills:
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Strong analytical and problem-solving skills.
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Excellent communication and collaboration skills.
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Ability to work effectively in cross-functional and Agile teams.
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Curiosity and eagerness to learn emerging AI and ML technologies.
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