Scientist, Data Science

19 hours ago

Pune Maharashtra, India XPO Full time

XPO India Shared Services

**What you’ll do on a typical day**:

- Conceive and develop end-to-end solutions focused on Data Science and Engineering using Artificial Intelligence, Machine Learning & Deep Learning Algorithms, Statistical Concepts, Data modelling, Generative AI, Software Development, Cloud Computing, and Visualizations. (50%)
- Troubleshoot technical issues in existing processes and current development work; solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines. (10%)
- Understand and improve shared standard patterns, templates, and artifacts for data science platform architecture, data science development approaches, data models, new technology adoption, and rollout. (10%)
- Collaborate with upstream and downstream IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery. (10%)
- Mentor other team members on technical skills, best practices, problem solving approaches, and standard patterns used at XPO (10%)
- Proactively generalize and share technical approaches and best practices among other developers, and simplify and communicate completed work to broader audiences across the company. (5%)

**What you need to succeed at XPO**:
EDUCATION/EXPERIENCE
- Minimum Required Education: Bachelor’s or Master's degree in Computer Science, Data Science, Statistics, MIS, Engineering, Econometrics, Finance, Business or related field.
- Minimum Required Experience: 3-5 years’ of Data Science experience in delivering business solutions that rely on data science, data analytics, artificial intelligence, or similar domains.
- Includes hands-on experience in delivering solutions in at least two of the following areas: Data Modelling, Data Integration, Data Analysis, SQL. And, 3-5 years hands-on experience in delivering solutions in at least two of the following areas: Data Science, Data Analysis, Geo Spatial, Finance, Econometrics, Cloud Computing, Big Data, and Database Management.
- Advanced knowledge of IT software development methodologies and processes in an agile environment a plus.
- Transportation and logistics industry experience a plus.
- Exposure to Generative AI and LLMs is a plus.

**Other Technical / Computer Skills -**
- **Data Science Skills -**
- Deep understanding of statistical modelling, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods.
- Solid technical database knowledge (BigQuery, Oracle) and experience optimizing SQL queries on large data.
- Proven Exploratory Data Analysis and Visualization experience using R and Python (Numpy, Pandas, Scipy, Plotly, Matplotlib)
- Analyze, summarize, and characterize large or small data sets with varying degrees of fidelity or quality, and identify and explain any insights or patterns within them
- Familiarity of core principles of data modelling and data warehousing
- Experience in handling 1000+ lines complex SQL codes to deliver complex data based solutions in both development and data analysis work.
- Expert in Python and experience of writing production ready code and fundamental understanding of OOPs concepts.
- Exposure to ML Platforms such as GCP, Azure, AWS

**Be** **part** **of** **something** **big.**

Be a Part of Something Big

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