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    Senior Analyst - Pune, India - METRO Global Solution Center IN

    Default job background
    Accounting / Finance
    Description

    Metro Global Solution Center (MGSC) is internal solution partner for METRO, a €29.8 Billion international wholesaler with operations in 31 countries through 661 stores & a team of 93,000 people globally. Metro operates in a further 10 countries with its Food Service Distribution (FSD) business and it is thus active in a total of 34 countries.

    MGSC, location wise is present in Pune (India), Düsseldorf (Germany) and Szczecin (Poland). We provide IT & Business operations support to 31 countries, speak 24+ languages and process over 18,000 transactions a day. We are setting tomorrow's standards for customer focus, digital solutions, and sustainable business models. For over 10 years, we have been providing services and solutions from our two locations in Pune and Szczecin. This has allowed us to gain extensive experience in how we can best serve our internal customers with high quality and passion. We believe that we can add value, drive efficiency, and satisfy our customers.

    Website:
    Company Size:
    Headquarters: Pune, Maharashtra, India
    Type: Privately Held
    Inception: 2011

    Job Description

    We are seeking a skilled and motivated Data Scientist to join our team. The ideal candidate should have a strong background in advanced analytics and machine learning & statistical modeling techniques. The Data Scientist will play a key role in extracting valuable insights from large datasets, developing predictive models, and contributing to data-driven decision making to drive organizational success and competitive advantage.

    • Conduct exploratory data analysis to uncover trends, patterns, and relationships within datasets.
    • Develop and implement machine learning algorithms and predictive models to solve business problems and generate actionable insights.
    • Develop solutions with generative AI capabilities for the relevant use cases.
    • Cleanse, preprocess, and transform raw data to ensure quality, consistency, and suitability for analysis. Handle missing data, outliers, and anomalies using appropriate techniques to maintain data integrity and reliability.
    • Communicate findings through visualizations, reports, and presentations to facilitate decision-making at all levels of the organization.
    • Collaborate with business leaders to understand requirements and prioritize projects based on strategic objectives.
    • Deploy machine learning models into production environments and monitor their performance over time.
    • Implement model monitoring and validation processes to ensure ongoing accuracy and reliability.

    Qualifications

    Technical Skills

    • Proficiency with data mining, mathematics, and statistical analysis
    • Advanced experience in pattern recognition and predictive modeling
    • Hands on experience in working with LLMs
    • Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS).
    • Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
    • Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects.
    • Execute analytical experiments to help solve problems across various domains like Retail, Wholesales, Marketing & Finance.
    • Experience with Data Visualization Tools like matplotlib, ggplot, , Tableau that help to visually encode data.
    • Experience in GCP cloud services like BigQuery, Vertex ai, etc

    Functional Skills

    • Bachelor's degree in computer science, Information Technology, Data Science, or a related field.
    • 3 years of experience as a Data scientist or in a similar role.
    • Ability to translate business needs into technical specifications.
    • Excellent problem-solving skills and attention to detail.
    • Strong communication and interpersonal skills, with the ability to convey complex data concepts to non-technical stakeholders.

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