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.

✖

Before you go further ...

or

Direct apply link!