Senior Data Scientist - AIML

Role Overview:

As a Data Scientist, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations.

Key Responsibilities:

Technical Execution and Leadership:

• Develop and deploy AI models and data analytics solutions.
• Support the implementation and optimization of AI-driven strategies per business stakeholder requirements.
• Help refine data-driven methodologies for transformation projects.

Data Science and AI:

• Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights.
• Learn and utilize cloud platforms to ensure the scalability of AI solutions.
• Leverage reusable assets and apply company standards for data science and development.

Project Support:

• Lead and contribute to various stages of AI and data science projects, from data exploration to model development.
• Monitor project timelines and help resolve technical challenges.
• Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs.

Collaboration:

• Ensure alignment to stakeholders strategic direction and tactical needs.
• Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems.
• Contribute technical expertise to cross-functional teams.

Qualifications:

Education:

Experience:

• 5-10+ years of experience in data science, AI, or analytics with a focus on implementing data-driven solutions.
• Experience with data cleaning, data analysis, A/B testing, and data visualization.
• Experience with AI technologies through coursework or projects.

Technical Skills:

• Proficiency in

  SQL and Python

  for performing data analysis and developing machine learning models.
• Knowledge of common

  machine learning algorithms and frameworks

  : linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch.
• Experience with

  cloud-based platforms and data processing frameworks

  .
• Understanding of

  large language models (LLMs).

• Familiarity with watsonx product suite
• Familiarity with object-oriented programming

Analytical Skills:

• Strong problem-solving abilities and eagerness to learn.
• Ability to work with datasets and derive insights.

Other Requirements:

• Good communication skills, with the ability to explain technical concepts clearly.
• Enthusiasm for learning and applying new technologies.
• Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment

Why Join Us?

You will be part of a dynamic team driving the future of AI and data science in large-scale enterprise transformations. We offer a collaborative environment where your technical expertise will be valued, and your professional development will be supported. Join us to work on challenging projects, leverage the latest technologies, and make a tangible impact on leading organizations.