Data Scientist-Advanced Analytics

Introduction

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology

Your Role And Responsibilities

We are seeking a highly skilled Advanced Analytics Specialist to join our dynamic team. The successful candidate will be responsible for leveraging advanced analytics techniques to derive actionable insights, inform business decisions, and drive strategic initiatives. This role requires a deep understanding of data analysis, statistical modeling, machine learning, and data visualization.. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable.

Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive.

Day-to-Day Duties

• Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
• Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
• Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
• Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Develop and implement advanced analytical models and algorithms to solve complex business problems. Analyze large datasets to uncover trends, patterns, and insights that drive business performance.
• Collaborate with cross-functional teams to identify key business challenges and opportunities. Create and maintain data pipelines and workflows to ensure the accuracy and integrity of data.
• Design and deliver insightful reports and dashboards to communicate findings to stakeholders. Stay up to date with the latest advancements in analytics, machine learning, and data science.
• Provide technical expertise and mentorship to junior team members.
• Qualifications: Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.Proven experience in advanced analytics, data science, or a similar role.Proficiency in programming languages such as Python, R, or SQL.Experience with data visualization tools like Tableau, Power BI, or similar. Strong understanding of statistical modeling and machine learning algorithms.Excellent analytical, problem-solving, and critical thinking skills.Ability to communicate complex analytical concepts to non-technical stakeholders.Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
  
  

Preferred Skills

Familiarity with cloud-based analytics platforms (e.g., AWS, Azure).

Knowledge of natural language processing (NLP) and deep learning techniques.

Experience with project management and agile methodologies

Preferred Technical And Professional Experience

• Familiarity with cloud-based analytics platforms (e.g., AWS, Azure).
• Knowledge of natural language processing (NLP) and deep learning techniques.
• Experience with project management and agile methodologies