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2400 IBM Jobs

Data Scientist-Advanced Analytics

IBM India Pvt. Limited

 · 

4.0

 based on 23.4k Reviews

3-7 years

₹ 5.1 - 19L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Pune

1 vacancy

Data Scientist-Advanced Analytics

IBM

posted 2 weeks ago

Job Role Insights

Flexible timing

Key skills for the job

Data Entry Data Science Power BI Data Analysis Python AWS

+ 11 more

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
  • 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.
  • 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 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

    • Employment Type: Full Time, Permanent

    Read full job description

    IBM Data Scientist Interview Questions

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    2mo ago
    Q. What advanced SQL queries were used in your project?
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    What people at IBM are saying

    4.1
    Rating based on 61 Data Scientist reviews

    Likes

    Amazing experience working in IBM

    • Salary - Excellent
      • +6 more
    Dislikes

    Nothing have that much bad in IBM

    Read 61 Data Scientist reviews

    Data Scientist salary at IBM

    reported by 932 employees
    ₹10.5 L/yr - ₹30 L/yr
    27% more than the average Data Scientist Salary in India
    View more details

    What IBM employees are saying about work life

    based on 23.4k employees
    77%
    84%
    66%
    79%
    Flexible timing
    Monday to Friday
    No travel
    Day Shift
    View more insights

    IBM Benefits

    Submitted by Company
    Flexible Work Options
    Medical Plans
    Volunteering Rewards
    Submitted by Employees
    Work From Home
    Soft Skill Training
    Health Insurance
    Job Training
    Cafeteria
    Free Transport +6 more
    View more benefits

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