Senior Data Scientist
- Posted a month ago
- Over 100 applicants have applied
Job Description
Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, youre joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We dont just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Basic Qualifications:
- BS or MS degree in a quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance, or other related degree
- Overall experience of 7+ years of professional experience
- 5+ years of proven experience as a Data scientist in designing and implementing data processing and machine learning frameworks.
- Recent 4+ years of experience with Python, SQL
- Develop and implement advanced statistical models, machine learning algorithms, and AI techniques to solve complex business problems.
- Perform data analysis, data cleaning, and feature engineering to prepare data for modeling.
- Evaluate and select appropriate algorithms and models for specific use cases.
Top candidates will also have:
- MS degree in a quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance, or other related degree
- Proven experience in some of the following:
- Compiling and standardizing diverse, non-sanitized datasets.
- Working with structured and unstructured data.
- Developing classification and regression models.
- Unsupervised learning algorithms.
- Experience integrating analytical models with existing data pipelines.
- Proven experience as a Senior Data scientist for a Data science team.
- Hands-on experience in Agents, Large Language Models, Small Language Models, Retrieval Augmented Generation, Generative AI, Natural Language Processing, and Deep Learning
- Proven experience with AWS full-stack development and services such as Athena, Glue, DynamoDB, EC2, EMR, RDS, S3, SageMaker or Equivalent
- Experience with Snowflake data warehouse
- Experience visualizing data using BI software such as Tableau and MS Power BI
- Good organizational skills and an aptitude for complex analytical and detailed work; ability to prioritize among multiple concurrent projects to meet deadlines promptly.
- Ability to consider a broad range of issues or factors, grasp complexities and perceive relationships among problems or issues, and use accurate logic in analysis
- Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences.
- Ability to work independently or collaboratively in a complex, rapidly changing, and culturally diverse environment.
- Ability to learn and comply with company policies and procedures
- Passion for technology and an eagerness to contribute to a team-orientated environment
More Info
Job Type:
Industry:
Function:
Employment Type:
About Company
Skills:
Natural language processing (NLP), Java, Statistical Analysis, Tensorflow, Pytorch, Gcp, Opencv, Azure, Python, AWS, scikit-learn, Data preprocessing, GPT, CNNs, Feature engineering, R, YOLO, BERT
Skills:
Tensorflow, Python, Java, Hibernate, Hadoop, Big Data, Machine Learning Algorithms, Spring, DataBricks, Ms Azure, Jenkins, Git, Hive, Azure Data Factory, Pytorch, Spark, Keras, Langchain, MLLib, HDInsight, Deep Neural Networks, Map-Reduce, Gen AI infrastructure, HDFS, RAG
Skills:
Pyspark, Algorithms, Nlp, Azure Functions, Docker, Databricks, Azure Machine Learning, Python, GenAI, AKS, Azure Services, Applied Statistics, Azure AI Search, Retrieval Augmented Generation, Large Language Models, Azure Kubernetes Service
Skills:
Machine Learning, Cnn, Clustering, Deep Learning, Nlp, MLops, Artificial Neural Networks, Decision Trees, Azure, Python, AWS, LSTM, Support Vector Machines, YOLO, Quadratic Programming, genetic algorithms, Large Language Models
Skills:
Azure Data Factory, Azure Databricks, Statistical modeling for access risk analysis, SQL and NoSQL database management, Implementation of security and compliance controls in Azure, Microsoft Azure Active Directory administration, Microsoft Azure Privileged Identity Management PIM, Power BI or similar data visualization tools, Python or R for data analysis and automation, REST APIs and integration with external data sources, Cloud governance and policy management, Azure Sentinel or other SIEM platforms, Certification in advanced Azure security solutions, Automation tools such as Terraform or Azure ARM templates, Machine learning algorithms for security threat detection