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Data Scientist-Advanced Analytics @ IBM

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IBM  Data Scientist-Advanced Analytics

Job Description


  • 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) DevelopmentDevelop 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 SharingDocument 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 InnovationStay 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
  • Required education
  • Bachelor''s Degree
  • Preferred education
  • Master''s Degree
  • Required technical and professional expertise

  • 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.
  • Qualificationsbachelor??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 modelling 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
  • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Data Science & Analytics
    Role Category: Data Science & Machine Learning
    Role: Data Scientist
    Employement Type: Full time

    Contact Details:

    Company: IBM
    Location(s): Noida, Gurugram

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    Keyskills:   data scientist python github project management natural language processing ai power bi machine learning sql analytics deep learning r tableau java nlp data science spark statistical modeling agile hadoop big data aws azure

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