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

Position:

• Title: Data Scientist

• Skills Required: Python, TensorFlow, SQL, Model Development, ML Lifecycle

• Department: Enterprise Data Analytics

• Level: Individual Contributor

Company:

• Name: UPS (United Parcel Service)

• Industry: Transportation and Logistics

• Global Presence: Operates in over 200 countries and territories

• Workforce: Nearly 500,000 employees worldwide

• Headquarters: Atlanta, Georgia, United States

• Company Website: ups.com

• Social Media Presence: Active on Facebook, Instagram, Twitter, YouTube, and TikTok

Location:

• City: Chennai

• State: Tamil Nadu

• Country: India

Job Type:

• Employment Type: Permanent

• Nature of Work: Full-time

• Domain: Data Science and Machine Learning

Job Mode:

• Mode: On-site 

Job Requisition ID:

• Requisition ID: R25007614

Years of Experience:

• Experience Required: Not explicitly mentioned, but as per JD looks like an entry level position; 0-3 years

---

Company Description 

• About UPS:

  • UPS, a Fortune Global 500 company, is a global leader in transportation and logistics, offering innovative solutions that meet customer needs.

  • Established as a small messenger service with a $100 loan by two teenagers, UPS has grown into an enterprise with operations spanning across more than 200 countries.

  • With a workforce of almost 500,000 employees, UPS is known for its commitment to excellence, innovation, and social responsibility.

  • The company has played a pivotal role in shaping the modern logistics industry and continues to advance its capabilities through technology and sustainability initiatives.

• Mission and Values:

  • UPS is dedicated to “moving our world forward by delivering what matters.”

  • The company focuses on customer satisfaction, operational excellence, and sustainability.

  • UPS also actively contributes to the communities it serves through initiatives driven by The UPS Foundation.

• Opportunities for Growth:

  • UPS provides an environment where individuals with a passion for technology, data, and innovation can thrive.

  • Employees have the opportunity to lead, innovate, and contribute to the company’s ongoing success.

---

Profile Overview 

• Role Overview:

  • The Data Scientist at UPS will work within the Enterprise Data Analytics team to develop AI and machine learning models to solve large-scale business problems.

  • This role involves collaborating with stakeholders, converting business needs into technical requirements, and building scalable solutions.

  • A key aspect of the role is ensuring seamless model deployment and troubleshooting issues in production AI applications in partnership with the Machine Learning Operations (MLOps) team.

• Core Responsibilities:

  • Becoming a subject matter expert in UPS business processes and data.

  • Analyzing and deriving insights from large-scale structured and unstructured data.

  • Developing and refining machine learning models using advanced statistical techniques.

  • Collaborating with business and technical teams to ensure model success.

  • Documenting technical processes and creating dashboards to communicate insights to stakeholders.

• Key Traits for Success:

  • Strong technical expertise, problem-solving skills, and attention to detail.

  • Ability to communicate complex data concepts effectively to both technical and non-technical audiences.

  • Ownership and initiative to identify opportunities for innovation and process improvement.

---

Qualifications 

• Technical Expertise:

  • Proficiency in Python and SQL, with hands-on experience in libraries such as pandas, numpy, scikit-learn, TensorFlow, keras, and statsmodels.

  • Strong understanding of statistical techniques, including hypothesis testing, regression, and clustering.

  • Experience with GCP tools like Vertex AI, BigQuery, and Google Cloud Storage for model development.

• Machine Learning Skills:

  • Deep knowledge of machine learning algorithms, including neural networks and deep learning models.

  • Ability to develop, validate, and optimize AI models to meet business objectives.

• Communication and Collaboration:

  • Excellent oral and written communication skills to present technical insights to business and technical leadership.

  • Capability to convert business requirements into technical specifications.

  • Strong ownership and collaboration to work effectively across departments.

• Preferred Qualifications:

  • Experience in NLP, Generative AI, and Large Language Models (LLMs).

  • Familiarity with Operations Research methodologies and tools like CPLEX and PULP.

  • Hands-on knowledge of MLOps principles and tools in GCP.

  • Exposure to Agile environments and Lean Agile principles.

---

Additional Info 

• Career Growth and Visibility:

  • This position offers high visibility within the organization and the opportunity to work directly with senior leadership.

  • The successful candidate will play a crucial role in driving innovation and implementing AI-driven solutions to enhance UPS operations.

• Work Culture and Values:

  • UPS promotes an inclusive work culture where employees are encouraged to develop their skills and take ownership of their work.

  • The company is committed to fostering a work environment free of discrimination, harassment, and retaliation.

• Professional Development Opportunities:

  • Employees will have access to resources and mentorship that will support their career growth.

  • Opportunities for upskilling and cross-functional collaboration are available.

• Community Engagement:

  • UPS believes in giving back to the community through various initiatives and programs.

  • Employees are encouraged to participate in UPS Foundation programs that promote social impact.

• Perks and Benefits:

  • Competitive salary and performance-based incentives.

  • Health benefits and wellness programs.

  • Opportunities to work on cutting-edge technologies and business problems.

---

Responsibilities:

• Subject Matter Expertise:

  • Develop a deep understanding of UPS business processes and data.

  • Leverage advanced statistical methods and AI to solve complex business problems.

• Data Analysis and Insights:

  • Extract insights from large-scale structured and unstructured data using BigQuery and Google Cloud Storage.

  • Clean and transform data to ensure quality and accuracy for modeling purposes.

• Model Development and Evaluation:

  • Build, test, and deploy machine learning models using state-of-the-art techniques.

  • Work closely with stakeholders to ensure models meet business requirements.

• Collaboration with MLOps:

  • Collaborate with the MLOps team to productionize models and address issues in AI applications.

  • Continuously enhance existing models and AI applications to improve performance.

• Documentation and Communication:

  • Prepare detailed technical documentation, dashboards, and presentations for leadership.

  • Communicate results and insights effectively to both technical and non-technical stakeholders.

---

Bonus Qualifications:

• Advanced AI Knowledge:

  • Expertise in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs).

  • Familiarity with Operations Research tools such as CPLEX and PULP.

• MLOps and Agile Experience:

  • Knowledge of MLOps principles and tools in Google Cloud Platform.

  • Experience working in Agile environments and an understanding of Lean Agile methodologies.

---

Employee Type:

• Position Type: Permanent

• Employment Structure: Full-time

---

Application Information:

• How to Apply: Candidates can apply through the UPS careers portal.

• Application Tracking: Candidates who apply can track their application status through their account.

Please click here to apply.

✖

Before you go further ...

or

Direct apply link!