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

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

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.

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.

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.

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.