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UPS is hiring for a fresher entry level Data Scientist role in India



Position:

  • Title: Data Scientist

Company:

  • Organization: Fortune Global 500 Company
  • Known For: Leading in logistics and supply chain solutions
  • Commitment: Focus on talent development, innovation, and creating a rewarding work culture

Location:

  • Primary: Chennai, India
  • Zip Code: 600116

Job Type:

  • Position Type: Permanent, Full-Time

Job Mode:

  • Environment: Onsite

Job Requisition ID:

  • Reference: R24002030

Years of Experience:

  • Master's degree or equivalent years of experience

Company Description:

  • Overview:
    • Global Recognition: The company is a Fortune Global 500 leader known for its innovative logistics and supply chain solutions.
    • Values: Dedicated to fostering a collaborative environment that encourages growth, innovation, and a rewarding work experience.
    • Mission: To drive impactful change in logistics by leveraging data-driven solutions.
    • Focus on Talent: The company seeks individuals who combine technical expertise with passion and leadership potential.
    • Diversity: Promotes an inclusive workplace free from discrimination, harassment, and retaliation, valuing diverse talents.

Profile Overview:

  • Role Summary:

    • The Data Scientist will develop predictive and prescriptive analytics models.
    • Utilize structured and unstructured data to support informed decision-making.
    • Collaborate with cross-functional teams to research and implement machine learning models.
    • Identify insights and trends through advanced data analysis techniques.
    • Assist in deploying predictive models that meet various business needs.

  • Key Contributions:

    • Transform data into actionable insights for product and decision support.
    • Leverage cloud and on-premises tools to operationalize data models.
    • Provide data literacy for implementing predictive solutions company-wide.
    • Enable descriptive, predictive, and prescriptive solutions for project support.

Qualifications:

  • Technical Skills:

    • Proficient in R, SQL, and Python for data analysis and model development.
    • Experience with machine learning platforms like VertexAI, Databricks, and SageMaker.
    • Knowledgeable in frameworks such as PyTorch, TensorFlow, and Keras.
    • Familiarity with statistical techniques, operations research, and data management pipelines.

  • Analytical Skills:

    • Strong analytical ability with attention to detail.
    • Ability to translate business challenges into data solutions.
    • Experience in both supervised and unsupervised machine learning.

  • Communication Skills:

    • Able to present complex analytics to both technical and non-technical audiences.
    • Skilled in storytelling through data visualization.

  • Educational Background:

    • Master’s Degree in Mathematics, Computer Science, Engineering, or related quantitative field.

  • Additional:

    • Understanding of Java or C++ (preferred).
    • Experience with both Linux/Unix and Windows environments.

Additional Information:

  • Key Responsibilities:

    • Data Source Identification: Recognize critical data sources from both internal and external sources to fuel model development.
    • Pipeline Development: Create data pipelines for cleansing, transforming, and enriching data.
    • Collaboration: Partner with data engineering teams for data validation and testing.
    • Model Development: Design models to predict business trends and meet performance KPIs.
    • Solution Documentation: Maintain documentation, code comments, and flowcharts for repeatable solutions.
    • Insights Presentation: Present findings and insights to stakeholders, supporting decision-making.
    • Best Practices Implementation: Apply best practices in statistical modeling and cloud-based AI technologies.
    • Emerging Technologies: Utilize cutting-edge tools to support predictive and prescriptive analytics.

  • Employment Type: Permanent

  • Equal Opportunity Commitment:

    • The company ensures a workplace free from discrimination, harassment, and retaliation.
    • Dedicated to equal opportunities for growth and advancement for all employees.

Please click here to apply.

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