Job Location: Chennai
Career Area:
Engineering
Job Description:
Key job responsibilities include:
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Data mining using state-of-the-art methods
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Enhancing data collection procedures to include information that is relevant for building analytic systems
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Processing, cleansing, and verifying the integrity of data used for analysis
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Doing ad-hoc analysis and presenting results in a clear manner
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Use statistical research and analysis to understand which approach and algorithm to use
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Creating automated anomaly detection systems and constant tracking of its performance
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Selecting features, building and optimizing classifiers using machine learning techniques
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Build predictive models and machine-learning algorithms
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Combine models through ensemble modeling
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Responsible for defining and documenting architecture, capturing and documenting non-functional (architectural) requirements, preparing estimates and defining technical solutions to proposals (RFPs)
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provide technical leadership to project team to perform design to deployment related activities, provide guidance, perform reviews, prevent and resolve technical issues
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Analyse complex business and competitive issues and discerns the implications for systems support. Identifies, defines, directs and preforms analysis of technical and economic feasibility of proposed data solution.
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Creates and manages a machine learning pipeline, from raw data acquisitions to merging and normalizing to sophisticated feature engineering development to model execution.
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Exhibit advanced visualization skills, as well as creative problem-solving
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Interacting with customers to have an in-depth understanding of their operations to improve their processes for managing equipment and interfacing with Caterpillar.
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Providing project leadership, advice, and counsel to developers, management, customers and project teams on the most complex aspects of application development and system integration.
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Minimum 6+ years of relevant experience.
Qualifications
Basic (Required) Qualifications:
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Strong analytical skills.
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Strong math skills (e.g. statistics, algebra)
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Problem-solving aptitude
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A Bachelor’s Degree from an accredited college or university or equivalent years (4 years) of experience relevant to this role.
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Five or more years of progressively responsible role relevant experiences that demonstrate both breadth of business knowledge and depth of digital and analytical skillsets.
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Curiosity about and a deep interest in how digital technology and systems are powering the way users do their jobs.
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Comfortable working in a dynamic environment where digital is still evolving as a core offering.
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Ability to clearly and succinctly explain complex topics.
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Expert in Python; familiar with concurrency in Python
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Proficient with git or similar source control system; and Experienced with git-based development workflows
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Ability to design and consume well-tailored REST APIs
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Experience working in development teams with code reviews and varying levels of seniority
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Experience both in jumping into an existing architecture, and starting projects from scratch
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Proven ability to take initiative and dive into areas of new technology
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Self-motivated with a passion for learning, analyzing technology tradeoffs, and shipping product
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Good applied statistics skills, such as distributions, statistical testing, regression, etc.
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Proficiency in using query languages such as SQL
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Good scripting and programming skills
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Data-oriented personality
Desired Qualifications:
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Master’s Degree in Computer Science, Statistics, Applied Math or related field
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Extensive background in data mining and statistical analysis
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Excellent pattern recognition and predictive modeling skills
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Experience with common data science toolkits, such as Python, R, Weka, MatLab, etc (Excellence in at least one of these is highly desirable)
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Experience in Data science frameworks Jupyter notebook, AWS Sagemaker, Azure ML etc
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Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks
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Experience with data visualisation tools, such as Tableau, PowerBI, AWS Quicksight, D3.js, GGplot, etc.
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Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
Skills:
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Fundamentals of Data Science
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Probability & Statistics
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Multivariate Calculus & Linear Algebra
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Programming knowledge
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Data Manipulation and Analysis
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Data Visualization
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Machine Learning
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Deep Learning
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Big Data
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Software Engineering
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Model Deployment
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Communication Skills
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Storytelling Skills
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Structured and Critical Thinking
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Problem solving skills and Innovative thinkins
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Observation and Investigation Skills
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Curiosity
Caterpillar is an Equal Opportunity Employer (EEO).
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