Highlights
Transform raw data into actionable insights using advanced analytics tools. Work with cross-functional teams to drive predictive and prescriptive solutions.
Description
Job Summary
pWe are seeking a Data Scientist to join our team and play a crucial role in creating and implementing advanced analytics models. You will leverage machine learning and data visualization tools to transform raw data into actionable insights, supporting business decisions and product development.
Responsibilities
- Define key data sources from UPS and external sources for model implementation.
- Develop pipelines for data cleansing, transformation, and enrichment.
- Work with data engineering teams to validate and test data and model pipelines.
- Create repeatable solutions through documentation and commented clean code.
- Synthesize insights and present findings in clear reports and presentations.
Required Skills
- Python
- R
- SQL
- TensorFlow/PyTorch
- Data Visualization Tools
Required Skills Explained
- Data Science: Ability to take a data science problem from start to finish and use frameworks like PyTorch or TensorFlow for model building.
- Statistical Techniques: Expertise in statistical techniques, machine learning algorithms, and operations research for business applications.
- Programming Languages: Proficiency in R, SQL, Python, and familiarity with Java or C++ is preferred.
- Data Management Pipelines: Deep understanding of data management pipelines and experience launching advanced analytics projects at scale.
- Cloud-AI Technologies: Knowledge of cloud-based AI technologies and environments in Linux/Unix and Windows.
- Communication Skills: Strong oral and written communication skills, especially for conveying complex analytical concepts to both technical and non-technical stakeholders.
Who is this for
pIdeal candidates have a strong analytical background, excellent communication skills, and experience in data science projects. This role requires individuals who can translate complex data into practical business solutions.
Why This Job is a Good Opportunity
ulliCareer Growth: Join a team that focuses on predictive and prescriptive insights from large datasets, offering opportunities for innovation and advancement in the field of data science.liImpactful Work: Contribute to impactful projects supporting business decisions at UPS through advanced analytics solutions.liIndustry Standards: Utilize industry-standard tools like machine learning and data visualization software to ensure high-quality work and stay ahead in the field.liContinuous Learning: Stay updated with emerging tools and technologies, including cloud services and open-source products, fostering a culture of continuous improvement.
Interview Preparation Tips
- Prepare Examples: Showcase past experiences where you have taken complex data science problems from start to finish using frameworks like PyTorch or TensorFlow.
- Data Visualization: Be ready to demonstrate your ability to visualize data effectively using tools such as R, SQL, and Python.
- Presentation Skills: Practice clearly presenting your analytical findings and recommendations to both technical and non-technical stakeholders.
- Technical Knowledge: Ensure you are well-versed in statistical techniques, machine learning algorithms, and operations research applications.
Career Growth in This Role
pThe role offers significant opportunities for career growth within the field of data science. With responsibilities spanning from defining key data sources to implementing scalable analytics projects, professionals can develop a broad skill set that is highly valued by organizations like UPS. As you progress, you may take on more strategic roles or explore specialized areas such as cloud-AI technologies and advanced machine learning techniques.pThe team environment fosters collaboration and innovation, enabling individuals to contribute meaningfully while also learning from peers with diverse expertise. Regular engagement with executive-level stakeholders provides exposure to high-level business challenges, driving personal and professional development in the process.
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Skills
Frequently Asked Questions
What is the salary range for this role?The salary range for this position is 6 LPA.
Is experience in Java or C++ preferred?Familiarity with Java or C++ is a preference but not mandatory.
What kind of data sources will I be working with?You will work with both internal UPS and external data sources to create models.
