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




Position:

  • Data Scientist

Company:

  • UPS (United Parcel Service)

Location:

  • Chennai, India

Job type:

  • Full‑time – permanent employment

Job mode:

  • Onsite

Job requisition id:

  • R25007614

Years of experience:

  • Entry level to early career (0 to 3 years)

Company description

  • One of the top 500 global companies, UPS is a worldwide logistics, transportation and supply‑chain powerhouse

  • Committed to innovation and operational excellence; it invests heavily in technology, data analytics, AI and machine learning

  • Offers an inclusive workplace that values fairness, equal opportunity, and supports employee growth through collaboration with skilled teams

  • Focused on shaping the future of delivery and logistics through talented individuals who drive improvement through passion and expertise

  • Provides a supportive environment where motivated people can step up, take ownership, lead projects and help guide the company toward future goals

  • Encourages cross‑functional work and collaboration across teams, from operations to analytics and machine learning operations

  • High visibility environment where contributions are recognized and you interact with senior leadership in translating data‑driven ideas into action

Profile overview

  • The Enterprise Data Analytics team at UPS is searching for a dedicated Data Scientist to tackle large scale, complex business challenges

  • You will use statistical modelling and cutting‑edge AI tools to deliver meaningful operational improvements for UPS business processes

  • The Data Scientist will collaborate with the MLOps team to debug and enhance existing AI solutions while supporting model productionization

  • Expect to work with multiple stakeholders across different organizational levels to translate business needs into technical modelling requirements

  • You engage with senior leadership presenting scalable, robust and innovative solutions to operational challenges

  • A combination of strong communication skills and technical expertise is essential to explain analytical methods and results to both technical and business audiences

  • Your job involves understanding operations, extracting insights from data, proposing AI based solutions and ensuring they are implemented efficiently in production

Qualifications

  • Proficient in Python and SQL for data manipulation and querying

  • Hands‑on experience with Python libraries such as scikit‑learn, pandas, numpy, tensorflow, keras, statsmodels and related tools

  • Solid understanding of probability, statistics and machine learning methods including regression, classification, clustering and deep learning

  • Experience using Google Cloud Platform tools like BigQuery, Vertex AI and Google Cloud Storage for ML lifecycle tasks including model training, deployment and data management

  • Ability to gain domain knowledge in UPS logistics and operations to frame business problems in technical modelling terms

  • Skilled at transforming business use cases into clean data pipelines, engineered features and predictive models

  • Collaborative attitude with strong ownership mentality; proactive in identifying optimization opportunities and driving efficiency improvements

  • Excellent verbal and written communication skills to translate data science findings into stories that resonate with business leadership

  • Ability to build dashboards, detailed documentation, technical reports and presentations for both technical and non‑technical stakeholders

  • Master’s degree in a quantitative discipline (e.g. mathematics, computer science, statistics, engineering, operations research or equivalent experience)

Additional info

  • Bonus experiences include knowledge of natural language processing, generative AI or large language models

  • Familiarity with operations research techniques and tools such as CPLEX or PULP would be an asset for advanced optimisation work

  • Exposure to MLOps practices and tools within GCP environments for continuous integration, monitoring, retraining and deployment of models

  • Experience in agile project environments and understanding of Lean and Agile methodologies improves collaboration and speed

  • Strong sense of initiative, self‑direction and ability to work independently when needed

  • Inclusive company culture values diversity, equal opportunity and fair treatment

  • The role is onsite in Chennai, offering local support and a collaborative team atmosphere

  • High visibility position where innovations are shared with leadership and have real operational impact

  • UPS encourages career development by pushing individuals to grow technically and build leadership potential

  • The role’s date of publication was March 24 2025, indicating this is a current opening


Please click here to apply.



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